# transkripsi_tasks

task_uuid: 892f39dc-318a-4dd2-b5e3-cbb1f9348792
status: completed
model_type: base
audio_file: C:\Users\asus\api\uploads\152b9c93c8c14a8ab9278da9e5532b79.mp3
engine: local
created_at: 2026-02-26 04:58:41.892320
updated_at: 2026-02-26 05:03:08.549597
result:
  Barak ada Mia? Ya, murbrap. 21.2, islam ya. Kenal sama ini siapa Sultan? Kenal sudah lama. Kenal sebagai apa Kalian? Anak, paman. Sepupu ya? Sudah lama jadi sepupu. Sejak lahir. Selain itu kalian akrab juga ya? Ya, akrab. Kenal sama siapa Susi? Kenapa? Apa hubungan Susi dengan dia? Semasa siapa? Semasa Sultan. Susi sama Sultannya apa hubungannya? Pajaran. Pajaran. Kapan saudara tau dia pajaran? Bersapa itu bahwa? Agustus. 24. Ya, itu ya. Sudara pernah sama si Sultan pergi kebendungan di Agustus 24. Kenapa? Kenapa? Sudara itu buncengan. Masus, apa? Masus, apa? Ya, negerita apa? Bisa apa? Gini siapa? Gini si Suitan, apa? Nggak, jika siapa lagi? Masus, apa lagi? Gendungan itu. Susi, Susi, siapa lagi? Apri, apri. Dari kampung itu jalannya sama-sama atau masing-masing? Masing-masing, Pak. Siapa yang deluan sampai ke bendungan? Kami berdua, Pak. Di bendungan itu ada pondok? Nggak dipondok, Pak. Di jalanan. Nggak kepondok? Nggak. Yang aja ke bendungan itu siapa? Apri, Pak. Apri yang aja saudara? Iya, Pak. Terus saudara, gak aja sulitan? Nggak, bilang siap itu bang sisulitan ini mau jumpa semasi susi. Oh, gitu. Itu pertama kali mereka jumpa. Iya, Pak. Selain jumpa mau ngapain gitu. Sulitan gak pernah bilang. Nam, ayo, kayak nih, gitu. Bendungan, ada gak ada bilang gitu? Nggak. Sudah ada yang aja, Dya? Bukan. Apri yang aja, Pak. Terus yang aja sulitan? Sulitan gak aja apri, apri gak aja, Dami? Bukan orang ini mau jumpa duluan, Pak. Sezusikan teman-nya sih apri. Apri, dosa apri itu gak aja, Pak. Gitu ya? Nggak tau maksud tujuan dari sulitan ini ngga aja ketemuan itu mau ngapain, gak tau? Nggak tau, Pak. Sudah ada tau gak? Kalian di pisahnya itu di bendungan? Iya, Pak. Pisahnya itu saudara bahwa apri, di bahwa susi. Iya, Pak. Sudah ada bonteng si apri? Nggak, Pak. Jalan. Iya, Pak. Jalan kaki. Sudah ada kemana itu tujuannya? Kamu di apa itu, Pak? Di samping jalan tu, Pak. Di samping jalan, nggak kepondok? Nggak kepondok. Orang ini ke mana? Nggak tau, Pak. Nggak tau. Kesemat-sematu ke mana gitu orang ini, Pak? Orang ini, Pak. Nggak ikret, Pak? Orang ini ikret, Pak. Orang itu baru balik lagi ke kalian. Lumayan, Pak. Itu kan dua kali ini kalian pergi barang nih? Iya, Pak. Nik, saya tanya yang pertama. Ada satu jam. Orang ini baru pulang. Nggak tau juga nggak tau juga, Pak. Ada lupa. Itu malam apa sih, Yang? Malam, Pak. Malam, ya. Sedara tau apa yang mereka lakukan? Nggak, Pak. Kalau kalian ngelakukannya, Pak? Nggak, Pak. Nggak ada. Dudu dia saja temen-nung di eman gitu. Di cuma cerita, Pak. Cerita aja, nggak lebih dari cerita. Nggak, Pak. Kalau orang ini nggak tau? Nggak tau, Pak. Kejadian apa yang mereka lakukan? Nggak tau, Pak. Terus berapa hari kemudian? Jaran lagi? Dependungan. Dependungan itu dari kampung kalian berapa menit? Sekitar 10 menit, Pak. 10 menit, ya. Kalau yang kedua, siapa yang aja? Itu dah berapa, Pak? Lupa. Nggak, Pak. Bukan dia saja Sultan. Nggak ingin lagi, Pak. Nggak, Pak. Itu berangkatnya kalian berdua. Iya. Iya, Pak. Si apri sama si susi. Iya, Pak. Terus jumpa lah. Jumpala, dibendungan lagi. Iya, Pak. Abis itu pergi lagi orang ini kretah. Nek, Nek kretah, Tantah. Eh? Gak ingat? Tat? Nggak, Pak. Nggak. Jalan kaki. Iya, Pak. Kemenan itu cuma orang itu? Eee... Dekat, cuma nggak mimpak. Kemenan. Dekat. Iya. Nggak ada masuk kepondo, Nggak, Pak? Aposisi kalian dan posisi mereka... ...belih hatan, nggak? Nggak, Pak. Nggak. Nggak. Nggak, Nggak, Nggak, Nggak, Nggak, Nggak. Itu karena semah semah atau karena jauhnya? Karena semah, Pak. Karena semah... Suara mereka dengar. Eee... ...gak dengar kaki, Pak. Nggak dengar kali. Iya, Pak. Nggak tahu apa yang mereka lakukan. Nggak, Pak. Suara-suara yang nggak dengar. Nggak, Pak. Betul, Pak. Yang kedua itu kalian ngga, Pak? Nggak, Pak En. Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Nggak, Pak. Nggak, Pak. Jika tidak, Pak. Zadar, Pak. Sampai sekarang nggak tahu. Nggak, Pak. Pernah, dia bilang ke saudara, apa yang mereka lakukan? Nggak, Pak. Ya, Kien. Ya, Kien, Pak. Nggak pernah dia bilang aku udah masukkan penis ke-kefaginannya susi. Dia udah nggak perawaran lagi. Nggak ada dia bilang gitu. keadaan itu ada apa? ada, kapan dia bilang? lama, dapak? lama? bukan saat pulang dari pertemuan yang kedua itu? udah lupa, Pak udah lupa? supaya lupa, Pak pokoknya ada dia bilang, Pak ada bilang setelah dia ditangkap gak ada Pak? dia bilang itu setelah dia ditangkap atau sebelum, setelah dia kawin atau sebelum? sebelum, mereka mau kawin, Pak sebelum mereka mau kawin pokoknya ada dua kali saudara saksikan di bulan agus tus berjara dua hari antarasi ini ketemu susi dua kali ya malam-malam satu pergini kretah yang satu, kalian nampak mereka jalan di semas-semah tapi saudara gak tahu ngapain orang ini semas-semah ya, Pak yg sa ya, Pak ya, Pak ya, Pak supaya itu melihat sama sekarang ya ya, Pak tadi kan saksikan melirangkan dua kali jalan sama orang itu kebendungan kan, witu, Pak ya, Pak kapan terdakwaini terita kepada saksikan jangan langsung terus lupa lupa, lupa ya, Pak kapan terdakwaini terita kepada saksikan dia telah memasukan penisnya kepada pagi nasi susi setelah kejadian ke-atau suminggu kejadian ke ke-atau suminggu kejadian ke-atau ada dia terita teritanya di mana di rumah mupa di rumah muka atau di rumah sulitan di rumah aku, Pak di rumah muka apa cerita dia telah bilangnya sisusi dan apa lagi udah ga perawan lagi tanggapanmu selah mendengar itu beratikan isilahnya kan dikini tanggapan kita karena kau sama jalan beratikan masukkan hari itu kan itu lagi rakyra apa tanggapanmu telah di mendengar bahwa berdia mengatakan sisusi itu ga perawan lagi di apa, Pak tanggapan atau kurang agar kau kan begitu mana? namanya 10 pun ga berani dia dia yang abang, Pak dia yang tuanya cuma dia majalah kau kaya itu kan di itu di apa tau ga dia nika tau, Pak cerit ceritanya ga tau, Pak tau yang nika hanya waktu di sini nika itu, ikut ga saudara Pak nantanya nantanya apa yang kamu mau mau buat, mau nantanya mau mau mau mau untuk di sini kaya itu kadang itu, Pak kami pemuda di apa itu Pak di tempat sisusi Pak, kemudian ada relasi itu ya, ngidangnya ya, Pak cukup Pak di mana, Pak itu ga terlalu semingguan itu beri di saat ada relasi itu kereta di keren Pak sebenarnya di saat ada relasi itu terlalu sempurna di saat ada relasi itu di saat ada relasi itu itu apa dah lupa kali, Pak di apa ini di apa ini di polis itu ada relasi dari keadaan di pak di waktu di atanya di waktu di atanya di waktu di atanya intinya ada dia bilang Pak ya di mana, Pak di luar


task_uuid: 395f4478-a88c-4f3a-9262-709716a42c34
status: completed
model_type: base
audio_file: C:\Users\asus\api\uploads\3ea44276ff264669a2297b9e3018ad98.mp3
engine: local
created_at: 2026-02-26 05:10:31.517764
updated_at: 2026-02-26 05:15:18.456868
result:
  Barak ada Mia? Ya, murbrap. 21.2, islam ya. Kenal sama ini siapa Sultan? Kenal sudah lama. Kenal sebagai apa Kalian? Anak, paman. Sepupu ya? Sudah lama jadi sepupu. Sejak lahir. Selain itu kalian akrab juga ya? Ya, akrab. Kenal sama siapa Susi? Kenapa? Apa hubungan Susi dengan dia? Semasa siapa? Semasa Sultan. Susi sama Sultannya apa hubungannya? Pajaran. Pajaran. Kapan saudara tau dia pajaran? Bersapa itu bahwa? Agustus. 24. Ya, itu ya. Sudara pernah sama si Sultan pergi kebendungan di Agustus 24. Kenapa? Kenapa? Sudara itu buncengan. Masus, apa? Masus, apa? Ya, negerita apa? Bisa apa? Gini siapa? Gini si Suitan, apa? Nggak, jika siapa lagi? Masus, apa lagi? Gendungan itu. Susi, Susi, siapa lagi? Apri, apri. Dari kampung itu jalannya sama-sama atau masing-masing? Masing-masing, Pak. Siapa yang deluan sampai ke bendungan? Kami berdua, Pak. Di bendungan itu ada pondok? Nggak dipondok, Pak. Di jalanan. Nggak kepondok? Nggak. Yang aja ke bendungan itu siapa? Apri, Pak. Apri yang aja saudara? Iya, Pak. Terus saudara, gak aja sulitan? Nggak, bilang siap itu bang sisulitan ini mau jumpa semasi susi. Oh, gitu. Itu pertama kali mereka jumpa. Iya, Pak. Selain jumpa mau ngapain gitu. Sulitan gak pernah bilang. Nam, ayo, kayak nih, gitu. Bendungan, ada gak ada bilang gitu? Nggak. Sudah ada yang aja, Dya? Bukan. Apri yang aja, Pak. Terus yang aja sulitan? Sulitan gak aja apri, apri gak aja, Dami? Bukan orang ini mau jumpa duluan, Pak. Sezusikan teman-nya sih apri. Apri, dosa apri itu gak aja, Pak. Gitu ya? Nggak tau maksud tujuan dari sulitan ini ngga aja ketemuan itu mau ngapain, gak tau? Nggak tau, Pak. Sudah ada tau gak? Kalian di pisahnya itu di bendungan? Iya, Pak. Pisahnya itu saudara bahwa apri, di bahwa susi. Iya, Pak. Sudah ada bonteng si apri? Nggak, Pak. Jalan. Iya, Pak. Jalan kaki. Sudah ada kemana itu tujuannya? Kamu di apa itu, Pak? Di samping jalan tu, Pak. Di samping jalan, nggak kepondok? Nggak kepondok. Orang ini ke mana? Nggak tau, Pak. Nggak tau. Kesemat-sematu ke mana gitu orang ini, Pak? Orang ini, Pak. Nggak ikret, Pak? Orang ini ikret, Pak. Orang itu baru balik lagi ke kalian. Lumayan, Pak. Itu kan dua kali ini kalian pergi barang nih? Iya, Pak. Nik, saya tanya yang pertama. Ada satu jam. Orang ini baru pulang. Nggak tau juga nggak tau juga, Pak. Ada lupa. Itu malam apa sih, Yang? Malam, Pak. Malam, ya. Sedara tau apa yang mereka lakukan? Nggak, Pak. Kalau kalian ngelakukannya, Pak? Nggak, Pak. Nggak ada. Dudu dia saja temen-nung di eman gitu. Di cuma cerita, Pak. Cerita aja, nggak lebih dari cerita. Nggak, Pak. Kalau orang ini nggak tau? Nggak tau, Pak. Kejadian apa yang mereka lakukan? Nggak tau, Pak. Terus berapa hari kemudian? Jaran lagi? Dependungan. Dependungan itu dari kampung kalian berapa menit? Sekitar 10 menit, Pak. 10 menit, ya. Kalau yang kedua, siapa yang aja? Itu dah berapa, Pak? Lupa. Nggak, Pak. Bukan dia saja Sultan. Nggak ingin lagi, Pak. Nggak, Pak. Itu berangkatnya kalian berdua. Iya. Iya, Pak. Si apri sama si susi. Iya, Pak. Terus jumpa lah. Jumpala, dibendungan lagi. Iya, Pak. Abis itu pergi lagi orang ini kretah. Nek, Nek kretah, Tantah. Eh? Gak ingat? Tat? Nggak, Pak. Nggak. Jalan kaki. Iya, Pak. Kemenan itu cuma orang itu? Eee... Dekat, cuma nggak mimpak. Kemenan. Dekat. Iya. Nggak ada masuk kepondo, Nggak, Pak? Posit sih kalian dan posisi mereka melihatan, nggak? Nggak, Pak. Nggak. Nggak kelihatan itu karena semapa semma atau karena jauhnya? Karena semapa. Karena semapa. Suara mereka dengar. Eee... Nggak dengar kali, Pak. Nggak dengar kali. Ya, Pak? Nggak tahu apa yang mereka lakukan. Nggak, Pak. Suara-suara yang nggak dengar. Nggak, Pak. Betul, Pak. Yang kedua itu kalian ngapain? Nggak, Pak. Nggak, Pak enak. Nggak, Pak. Bangu, nggak apa enak? Nggak, Pak. Na. Saudara tahu sekarang apa yang mereka lakukan di pertemuan yang kedua di semasa-sama itu? Nggak, Pak. Nggak tau. Sampai sekarang nggak tau? Nggak, Pak. Pernahin dia bilang ke saudara apa yang mereka lakukan? Nggak, Pak. Ya, kan. Ya, kan. Nggak, Pak. Nggak, Pak. Nggak pernah dia bilang. Aku sudah masukkan pengis gugke ke... ke vaginanya susi. Dia udah nggak perahuan lagi. Nggak, nggak dia bilang itu. keadaan itu ada apa? ada, kapan dia bilang? lama, dapak? lama? bukan saat pulang dari pertemuan yang kedua itu? udah lupa, Pak udah lupa? supaya lupa, Pak pokoknya ada dia bilang, Pak ada bilang setelah dia ditangkap gak ada Pak? dia bilang itu setelah dia ditangkap atau sebelum, setelah dia kawin atau sebelum? sebelum, mereka mau kawin, Pak sebelum mereka mau kawin pokoknya ada dua kali saudara saksikan di bulan agus tus berjara dua hari antarasi ini ketemu susi dua kali ya malam-malam satu pergini kretah yang satu, kalian nampak mereka jalan di semas-semah tapi saudara gak tahu ngapain orang ini semas-semah ya, Pak yg sa ya, Pak ya, Pak ya, Pak supaya itu melihat sama sekarang ya ya, Pak tadi kan saksikan melirangkan dua kali jalan sama orang itu kebendungan kan, witu, Pak ya, Pak kapan terdakwaini terita kepada saksikan jangan langsung terus lupa lupa, lupa ya, Pak kapan terdakwaini terita kepada saksikan dia telah memasukan penisnya kepada pagi nasi susi setelah kejadian ke-atau suminggu kejadian ke ke-atau suminggu kejadian ke-atau ada dia terita teritanya di mana di rumah mupa di rumah muka atau di rumah sulitan di rumah aku, Pak di rumah muka apa cerita dia telah bilangnya sisusi dan apa lagi udah ga perawan lagi tanggapanmu selah mendengar itu beratikan isilahnya kan dikini tanggapan kita karena kau sama jalan beratikan masukkan hari itu kan itu lagi rakyra apa tanggapanmu telah di mendengar bahwa berdia mengatakan sisusi itu ga perawan lagi di apa, Pak tanggapan atau kurang agar kau kan begitu mana? namanya 10 pun ga berani dia dia yang abang, Pak dia yang tuanya cuma dia majalah kau kaya itu kan di itu di apa tau ga dia nika tau, Pak cerit ceritanya ga tau, Pak tau yang nika hanya waktu di sini nika itu, ikut ga saudara Pak nantanya nantanya apa yang kamu mau mau buat, mau nantanya mau mau mau mau untuk di sini kaya itu kadang itu, Pak kami pemuda di apa itu Pak di tempat sisusi Pak, kemudian ada relasi itu ya, ngidangnya ya, Pak cukup Pak di mana, Pak itu ga terlalu semingguan itu beri di saat ada relasi itu kereta di keren Pak sebenarnya di saat ada relasi itu terlalu sempurna di saat ada relasi itu di saat ada relasi itu itu apa dah lupa kali, Pak di apa ini di apa ini di polis itu ada relasi dari keadaan di pak di waktu di atanya di waktu di atanya di waktu di atanya intinya ada dia bilang Pak ya di mana, Pak di luar


task_uuid: de2f483b-7746-452a-ab62-eae75efd630f
status: completed
model_type: medium
audio_file: C:\Users\asus\api\uploads\9766fe007ff344bb9f0fbf1ee8f16ae8.m4a
engine: local
created_at: 2026-03-02 06:52:37.682080
updated_at: 2026-03-02 08:00:45.215071
result:
  namanya siapa pak? Amin. Amin ya datanya sudah ditulis ya, sudah dicatat ya. baik sebelum memberikan keterangan Bapak disumpah dulu, disumpah berdiri, berdiri. ikuti saya ya, ismillahirrahmanirrahim, wallahi demi Allah saya bersumpah akan memberikan keterangan yang sebenarnya tidak lain dari yang sebenarnya. silakan duduk. jadi nanti Bapak memberikan keterangan sesuai dengan apa yang diketahui Bapak saja ya. kalau Bapak tidak tahu ya sudah bilang jangan tidak tahu. karena ini nanti memiliki konsep bidana. nanti kalau Bapak sumpah pasu misalnya kan, akan jadi bidana nanti ya. Pak Amin apa hubungannya dengan Pak Muhammad Ali? anak abang ya Pak. anak abang saudara sepupu ya. saudara sepupu kenal sama Ibu Sahara? kenal. kenal ya. sekarang masih suami istri orang ini? enggak sudah ceri? sejak kapan? aku lupa. lupa ya. Bapak tahu, selama mereka menikah, apa saja harta yang mereka miliki? harta nya? masalah harta apa? harta apa saja? dari nikah pertama? ya, sejak awal menikah. itu ke awal menikah, harta nya tidak ada. tidak ada? saya tanya saja ya satu-satu ya. kata Pak Ali kata Ibu Sahara mereka punya rumah. sekarang ya? di sekulen. Bapak tahu itu? tahu. rumah itu memang mereka dapatkan setelah mereka menikah? enggak, baru sudah menikah dia. baru sudah bikin rumahnya. setelah, sesudah menikah. setelah sama sesudah sama ya. berarti mereka nikah dulu, baru bangun rumah. rumahnya beton. beton. tanahnya, berdiri di atas tanah siapa? tanahnya dibeli. beli tanah itu juga setelah mereka menikah. setelah orang ini suami istri. belinya. Bapak tahu belinya sama siapa? sama kemarudin. Pak, kakinya yang sopan. kalau kita ngopi nanti enggak apa-apa. maaf ya Pak. belinya sama siapa tanahnya? dari kemarudin. Bapak tahu belinya berapa? itu harganya, itu harga. itu harganya itu kurang tahu. kalau tahun belinya? enggak, enggak ingat. kalau bangun rumahnya, tahun berapa? itu pun aku lupa. lupa? saya ingat Bapak kira-kira sudah berapa tahun mereka bangun rumah itu? tahun enak. enggak ingat. tapi yang pasti, mereka sudah suami istri. istri. sekarang yang tinggal di rumah itu siapa? dia. istrinya. penggugat. enggak istri lagi. penggugat ya. kata Bu Sahara, mereka ini punya kebun seri di kampung sekulen 80 ribu meter. tapi menurut Pak Ali, itu bukan punya mereka, tapi warisan dari orang tua. betul. itu warisan dari orang tua saya. orang tua Bapak? iya, ke abang saya. maksudnya gimana? Bapaknya satu kandung sama aku. tapi saudara sepupu. iya. tanah itu punya siapa sebelumnya? punya Pak Abdul Kadir? atau punya yang lain? Pak Abdul Kadir. punya Pak Abdul Kadir? iya. Bapak ini bukan saudaranya Pak Abdul Kadir? iya. tadi katanya sepupu. berarti ini keponakan kan? anak dia. anak abang. Pak C kan? tadi disebelah sepupu kan? kalau bisa bisa gaya Pak Abdul. oh gitu. Pak Abdul Kadir itu abangnya Pak Amin ya? iya. berarti tanah itu yang 80 ribu meter, itu punya siapa? abang. punya Pak Abdul Kadir. Pak Amin dapatnya dari mana dulu? dari Bapak kami. Bapak juga dapat? dari ayah kandung. nah, kok bisa berpindah dari Pak Abdul Kadir, jadi punya Pak Ali itu melalui jalur apa? ini dia wak ya. sedang hidup abang, dibawaknya orang belang itu wak. 50 kalau gak salah aku. abang gak salah aku. bawa keternya, baruannya itu. sudah meninggal abang, suruh dia balikkan wangnya itu. iya. itu dulu, itu jual beli atau gade dulu? ke apa itu? uangnya, pinjamnya. terus setelah meninggal, suruh balikkan 50 juta itu. siapa yang lebus? siapa yang lebus? itu dikontrakkan apa itu? penusnya. ditubuhkan dari orang itu. yang lebus, Pak? iyalah, apa itu? dikontrakkan itu. dikontrakkan berapa? nilai kontraknya berapa? waktu itu kalau gak salah. waktu itu, 3 titik kalau gak ada kontraan. saya ingat Bapak jangan tanya ke Pak Ali. tanpa titik. uang duitnya berapa? kitar-kitar, itu 70 juta. 70 juta. cukup untuk membalikkan uang yang dipinjamkan oleh orang bilang tadi? cukup? cukup lah, 50 juta itu. bukan uang pribadinya Pak Ali? bukan. tapi uang dari kontrak. berapa tahun orang kontrak? seumur, seumur teman mau dianderasnya. berapa tahun itu dikontrakkan? kontraknya gak tentu. pokoknya sama orang itu waktu itu. gak pakai tempuh. kapan habisnya? sampai habis getah itu? iya. jadi yang 80 ribu meter itu, ini saya ulangi ya, punya orang tuanya Pak Kadir. punya Pak Kadir. itu 80 ribu meter. itu 80 ribu meter. punya Pak Kadir. Pak Kadir pinjam uang ke orang bilang 50 juta. terus suatu saat, orang minta kembalikan uangnya. minta kembalikan uangnya. jadi untuk nebusnya, dikontrakkan lah. iya, pinusnya. salah satu yang dikontrakkan, yang 80 ribu ini tadi. kan banyak nih kebunnya Pak Kadir. ya banyak. selain yang 80 ribu ini, ada kebun lain yang dikontrakkan untuk nebus itu. ada. nilainya 70 juta. itulah dikembalikan ke orang bilang tadi. jadi sekarang punya siapa? tanah itu. itu kan masih dikontrak. masih dikontrak. bukan Pak Ali yang manen, yang deres. hasil dari kontrakan itu, bukan untuk Pak Ali. bukan untuk nebusnya. terus, ada lagi tanah, 8 rantai di Sekulen. Bapak tahu itu? letak dimana? di Sekulen, di apa itu Bapak? Ladang Gri. itu punya siapa? itu pun warisan. warisan dari? dari Pak Kadir. Bapak pernah menengok kebunnya itu? pernah. isinya apa? pertama ada kembiri di tanam itu. siapa yang kelola? siapa yang tanam? di tanam Abang. sekarang sudah terlantar? sudah terlantar. sudah mati semua. Bapak tahu kalau tanah ini, dulu dijual sama Sarudin? Sarudin? pernah Bapak tahu itu? itu, aku dengar ada itu. tahun berapa Sarudin jual? tahunnya aku tidak ingat. tapi setelah orang menikah? sudah. Sarudin itu bukan tanahnya, dijual ke orang lain. betul. dijual Sarudin 2 juta. tahu tidak Bapak? 2 juta? sedikit saja. murah sekali ya. 8 rante 2 juta. ingat Bapak itu tidak? ingat. tahu dari mana? Dian bilangnya. itu. tanah dari Bapak itu bilang sekali, sudah dijual Sarudin. kembalikan orang itu. waktu Bapak masih hidup? waktu Pak Kadil masih hidup? tidak. sudah meninggal. orang yang salah jual? Sarudin itu hubungannya apa? apa hubungan Sarudin sama Pak ini? tanahnya bersebelahan. Sarudin dengan tanah di Gili tadi apa? Padang Gili. Padang Gili tadi itu bersebelahan. sebelah tanah Sarudin, sebelah punya Pak Ali. yang dikiranya yang punya Pak Ali ini punya dia. dijualnya 2 juta. terus? kembalikan uangnya. keberatan tanahnya Pak ini dijual diseruh sama Sarudin nebus ya kan? berapa yang di tebus? tidak dihubungkan. tidak dihubungkan. pakai duit siapa? duitnya aku tidak tahu. tapi saat nebus, ketika mereka ini sudah menjadi suami istri. sudah. sekarang, tanah itu punya siapa? sudah dikembalikan, uangnya sudah balik. maksudnya Pak Ali. yang bersumber dari warisan Pak Kadil. ada katanya Supra X. ada kereta Honda. pernah Bapak melihat? mana dia sekarang? di bengkel. kenapa taruh di bengkel? usah. itu siapa yang punya? itu kan berduanya punya. tahun berapa keretanya itu? aku tidak ingat. masih bagus. keretanya? itu di bengkel sekarang. di bengkel mana? tidak tahu. aku tidak tahu. Bapak bilang di bengkel. mereka punya hutang? di bank? Bapak tahu? punya hutang di bank? itu bilangnya ada. tapi... ada? tidak tahu. tidak pernah. saat orang ini berhutang ke bank, tidak pernah. tidak pernah. terus... orang ini ada kereta. Scupi. sekarang dipakai oleh Bapak ini. betul. pernah Bapak melihat? pernah. baru-baru. setiap hari saya melihat di rumahnya. itu dibeli waktu mereka masih suami istri? masih. duitnya dari mana? waktu itu jual motornya. satu bagi untuk siapa? satu bagi untuk Pak Ali, satu bagi untuk Ibu. yang Pak Ali dibelikan untuk apa? belanja anaknya. belanja anaknya? beli kereta juga anaknya? keretanya apa? meretnya? pokoknya kereta belinya. atau meretnya aku belinya pun di belakang. yang tidak pernah saya lihat. yang sebagai... yang seperti... yang seperti... yang sebagian punya Ibu ini. dibelikan kereta juga. Scupi itu. Scupi itu. oke. Bapak tahu nggak? kalau mereka ini punya hutang lain. Bu ada catatan nggak Bu? terkait hutang-hutang. di rekontensi. iya di rekontensi. kalau Pak Ali dulu waktu istrinya sakit, dia berutang. istrinya sakit. terus waktu dia nyalek. berutang. tahu nggak Bapak terkait hutang-hutang itu? umpanya itu aku nggak tahu itu. sama sekali nggak tahu. jadi kalau saya tanya ada ada hutang 10 juta sama si Pulan. Bapak tahu nggak? 3 juta sama si Pulan. tahu nggak? nggak tahu ya. apa? ya sama Bank BUMK. Bank Usaha Milik Kampung. ada nggak? ada BUMK di kampung? ada. ada 10 juta. ada orang ini pinjam uang disitu belum dibayar. Bapak tahu nggak? tahu. tahu? tahu dari mana? waktu itu beli getah dia. untuk modal beli getah. saat minjamnya, Bapak tahu nggak? nggak. tahu dari mana? bilangnya uang BUMK itu pakai Pakcik. siapa yang bilang? dia. Bapak sini dia, sini dia juga. ini yang bilang? Pak Ali? iya. terus sama Iqmal. orang bandar Aceh. ada katanya minjam 20 juta untuk berobat ibu ini. juga nggak tahu. nggak tahu. terus sama Indra Kawan. Indra. sama Indra. orang Kota Lintang. ada minjam 10 juta untuk bangun rumah. apa? nggak. nggak tahu. terus ada Kawan lagi Rita Kengon. 4 juta. nggak tahu. ada Kawan lagi. Bang Tamar namanya. Abangnya Bang Tamar. 750 ribu. tahu nggak? nggak. tadi kan ada minjam uang di bank yang berapa ratus juta itu. kan tahu Bapak pernah dicerita. duitnya untuk apa? untuk rumah. untuk. untuk buat rumah. terus Bapak tahu nggak? kalau uang 70 juta yang dipinjam dari bank eh bukan ya. ada uang 70 juta digunakan untuk ngurus ibu ini jadi PNS. nggak tahu. uang 100 juta untuk nominalnya Bapak nggak tahu ya berapa-berapa jutanya untuk bangun rumah ya. ya. saksi pada tanah yang sodara di tanah itu adalah tanah warisan ya. namun rumahnya dibangun setelah mereka mengikah. sesaat mereka membangun rumah setelah selesai membangun rumah ya maaf ya. sebelum membangun rumah sebelum mereka mengikah. ada tanah ini dijual oleh Pak Kadir kepada orang lain? itulah yang kau apa itu yang kau butuh uangnya itu yang dipinjam bilang abang itu bawa orang itu. akita apanya itu. borokannya itu. siapa namanya? hobi. hobi? iya. hobi. kemudian setelah dibeli ya. apaan ya? dibeli oleh si hobi. itulah kata abang itu uangnya pinjamnya. 50 juta. borokannya itu. akita itu. meninggal abang. suruhnya balik uang itu. bukannya kebun itu yang jadi boroh. akita itu. jadi yang jadi boroh itu 2. akita itu. tanah yang jadi tapak rumah. itulah tanah itu. yang ada lukup. kalau yang di ladang geri. ladang geri pun kwarisan. maksudnya ada di tanah boroh. salah jual itu. ladang geri salah jual. jadi itu di gade kan ya namanya? hobi. itu pinjam. akita si boroh itu jaminan. di gade ya. pinjam. jaminan ya. sebesar 50 juta. tanah yang di arulupuk. kemudian meninggal abang. kabel kadir. di tebus. suruhnya kembalikan uang itu. oh suruhnya kembalikan. 50 juta juga. siapa yang mengembalikan? itu kan udah di kontrakan anak-anak anak-anak kan asli Ali. kemudian sudah menjadi milik muamak Ali. setelah diberikan apa namanya hasil boroh apa? kontrakan ya. kemudian di bangunan rumah. bangunan rumah itu uangnya dari mana? itu kan uangnya aku mana tahu aku uangnya. pokoknya bangun rumah dia. selain dari warmsun dari pak abul kadir ke pak muamak Ali. ada apa lagi di daerah itu yang dibeli oleh pak muamak Ali? gak ada. artinya diperpanjang di lebarkan karena ada orang ganti rugi tanah. gak ada. setahu aku gak ada. ada. pernah orang ini punya mobil? ada. mobil apa? pokoknya mobil. jadi dulu setahu bapak mobil itu mereka beli atau warisan dari orang tua muamak Ali? nggak. karena itu beli itu. dia jual tanah lagi. dia punya tanah. dia punya tanah. dia jual tanah itu. siapa yang jual? si Ali. si Ali menjual tanahnya. kemudian membeli mobil. kemudian dijual lagi. mobil itu? jadi tanah itu sebelum dia beli mobil yang dijualnya itu tanah itu milik siapa? belinya dari orang itu? dari orang Takingan? dari orang Takingon? iya. kemudian dijualnya baru beli mobil? iya. penjualan tanah itu untuk membeli mobil itu kapan? kurang tau aku. apakah mereka sudah menjadi suami istri? sudah. tanah yang dibeli dari orang Takingan itu? dari orang Takingan itu? tidak. dari orang Takingan belinya tanah itu. maksudnya mereka ini lagi suami istri? masih. sudah jadi suami istri orang itu? sudah. baru dijual tanah itu dibeli mobil. kemudian penjualan mobil itu berapa? kan dijual lagi sudah ada bilang untuk beli tanah mobil itu? mobilnya sudah dibeli kemudian dijual lagi untuk beli tanah. mobilnya itu tidak ada yang beli tanah. bagi dua. mobil itu dijual bagi dua orang? iya. tidak beli tanah? tidak. dari mana saudara tahu orangnya bagi dua? di rumah. di rumah. di rumah dibagikannya? iya. di rumah saya. berapa total yang dijual mobil itu? ukuran 100 100 jutaan? itulah sekitar 100. bapak melihat langsung mereka bagi dua? lihat. tadi rumah saya itu. jadi 50-50? itulah. pokoknya bagi dua orang itu ya? dari penjual mobil itu? iya. di rumah saya dibagikannya. itu setelah ada honda scopie? itu jual itu dia pun beli honda scopie itu. kemudian kalau yang pak muhammad ali untuk beli apa dia? jual mobil itu? tidak ada belinya itu. apapun. tadi belum jelas ini pak. terkait tanah yang dipakai untuk beli mobil yang dijual tanahnya. itu mereka dapat dari mana tanahnya? belinya. belinya. belinya dari siapa? dari orang takingan. terus uang yang dipakai mereka beli itu dari mana sumbernya? itu mana aku tahu. pokoknya dua-duanya belinya itu. tapi mereka belinya itu ketika sudah menjadi suami istri. beli tanahnya. sudah jadi suami istri. tadi rembukan yang membagi hasil itu ada memang ada kesepakatan. jadi ini diinisiasi oleh mereka berdua atau ada orang desa kesana? apa? aparat kampung ada? di rumah. ada abang. abangnya disitu. abangnya siapa? abang Syali itu. namanya siapa? Karim. terus siapa lagi? saya. ada dari aparat kampung? dari apa? dari kantor apa itu pun ada dia. dari kantor desa ada? waktu itu gen itu namanya. gen. dari orang desa dia? bukan. orang apa ini? polisi. polisi. ada polisi. jadi memang ada orang-orang kesana ya? jadi kesepakatannya 50-50. 50% 50%. nominannya berapa? bapak tidak tahu kan? pokoknya bagi dua. saudara, ada yang mau tanyakan ke saksi yang belum diterangkan kepada kami? tidak. tidak ada. ada yang mau ditanyakan ke saksi yang belum diterangkan kepada kami? ada apa? yang seperti masalah kata pakai ini. yang masalah kata mertua saya ini yang Arul Lukup tadi kan memang betul itu punya mertua saya dulu. jadi pertanyaan saya ini pak. saya tanyakan kenapa pas kemarin itu bapak itu sudah jual sama pak Ubi. setelah dia jual sama pak Ubi, atau gade istilahnya. kami kembalikan. saya sudah menjadi istrinya pak. itu makanya saya menggugatnya. masih itu saya belum cerai sama dia. pertanyaan buat bapak ini apa? ada pertanyaan tidak? ada pertanyaan. masalah pas pembagian mobil kemarin sudah kesepakatan. kami kan dibagi duanya sudah pisah pak. sudah pisah gimana? sudah cerai. belum. masih berurusan, masih mau mengajukan. dia kan sudah talak saya melalui tulisan pak kemarin. itu pertanyaannya apa? sama mertua saya? ini saja. kalau tidak ada kalau hanya statement nanti ibu dikesimpulkan nanti dituliskan. kalau tidak ada pertanyaan apakah kamu sudah makan? itu pertanyaan itu. tidak lagi. nanti ibu kalau ada hal-hal dari pernyataan saksi ini itu dikesimpulkan. sudah? berarti sudah ya? terima kasih banyak. saksi sudah memberikan keterangan. silahkan menunggu di luar atau pulang.


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  Nama apa siapa Pak? Kari Malih Pak Kari Malih Bagi sebelum memberikan teranggan di Sumpah dulu Budiri Pak Bismillahirrahmanirrahim Bismillahirrahmanirrahim Walaihi Walaihi Demi Allah Seber Sumpah Seber Sumpah Akan memberikan Akan memberikan Keteranggan Keteranggan Yang sebenarnya Yang sebenarnya Didad lain Didad lain Yang sebenarnya Kari Malih Hubungnya dengan Berhubungnya dengan Tergugat apa? Apakah Nampanya Kalo bahasa Gayo nya era Di ipar Di ipar Di ipar Dengan di di kan do Ini misalnya ini dengan tergugat Apakah Kalo apa? Apalunya Seberapa Kari Malih Seberapa Kari Malih Kari Malih Bind Abel kadir Abel kadir Baik Ini memang Mereka ini Sudah Bercerai sejak kapan Pak? Setau Pak Pak? Sejarah negara ya Atinya dari pengadilan itu sudah Resmi Bercerai itu Sejak kapan Pak Ketaui? 12 12 Tau Tau 25 Mereka Nikanya kapan Pak? Lupa Pak Lupa ya Sudah lama lah pokoknya ya Sudah Sudah punya anak orangnya Dari 3 Pak Dari 3 Baik Selama mereka Meneka Tentunya mereka punya hearta Nah saya mau tanyakan Terkait dengan hearta yang ada di Arulukup Di Arulukup itu Kampung sekulun itu ya Kampung sekulun Di situ ada Tana berserta rumah ya Di kebun Pak Di di kebun Tana Arulukup Ya Ada rumah di situ Pondok Itu 1920 Itu Ada di sana rumah Kecua-kanya rumah orang Rumah mereka di kampung sekulun Yang 90-20 Itu Sudah rataus al-usul Tana Di beli Di beli Yang Tana rumah mereka di 1920 Ya, tapaknya di beli Tapaknya di beli Itu dari siapa di beli Dari ada Pak Cik kami Situ yang punya kolam itu kamu rodin Kamu rodin Ya Tahu berapa di beli itu Lupa Pak Cima Sekitaran 4 tahun 5 tahun lah Pak 4 tahun 5 tahun apa itu Sebelum mereka bercerai Setelah mereka menika Ya setelah mereka menika Setelah mereka menika 4 tahun 5 tahun Tana itu di beli Mama Ali Dari Pak Kamaruddin Berapa di beli itu Karena dua kali beli orang di kemarin Pak Cuma gak tahu aku yang satu berapa Karena aku pun juga beli tak apa di pinggir itu Oh, dua kali beli Tapi harga pembeliannya nak tahu Yang dua kali beli itu Gak tahu Pak Kalau yang kemarin tujuh kali 20-28 juta Yang aku beli Pak Bapak 28 juta Tidak itu tak bahan lagi Tak 3 meter kali 20 lagi Tak bahan 2 ini lagi Jadi dua kali beli ya Kemudian rumahnya Apakah mereka beli tanah itu sudah ada rumahnya Orang ada rumahnya Belum Masih tanah saja ya Kemudian dibangun tanah itu kapan Di bawah rumahnya kapan Sebetul dua tahun dah apa Dua tahun setelah biti tanah itu Uang membuat rumah itu Sudah ada tau asal usulnya dari mana Itu kan orang berduanya Gak tahu Sudah ada penata mereka ada pinjaman Pernanya akan ada kata yang apa Bincaman dari mana Bengapak BPD Beng BPD ya Nominalnya berapa Tak 280 210 yang sudah ada ketau 280 atau 280 180 yang saya ketau 270 Ketau, cuma sekali Yang tau sekali sekali Cerasa 70 Itu sebelum ada rumah Atau sesuda ada rumah Bangan itu ya 180 itu sudah ada tau Kemudian Sampai sekarang rumah itu Mereka ada di jual atau seperti apa Masih melik berdua Jadi seluruh bangun tanah itu Haritah bersama mereka ini Ya Kemudian Ada tanah Yang berisikan kebunteri Melik mereka Yang luasnya kurang lebih 80 ribu meter Daerahnya Di kampung sekulan Kenapa datasnya itu bahkan ada luku Ada ngeri Ada ngeri Lada ngeri nama lokasinya Oh gitu Di lada ngeri Ketau milik siapa itu kebunteri Kebunteri ya Bukan kosong Jadi tanah yang di lada ngeri itu milik siapa Itu arisan Situ arisan Yang sudaar tau berapa Karena kami bahagi situ arisan Di lada ngeri itu Jadi itu arisan dari siapa Dari orang tua kami dari bapakabu Kadir Bapakabu Kadir Itu kapan menjadi arisan buat Bapak dan sakshidan ini Pemomat Ali Masihnya dibagi bapak Ya pas pembagian tanah itu Kapan Setelah meninggal apapakabu Kadir kan Masih itu bapak Masih itu berarti jatunya hiba Dihibakan oleh pabukadir Kepasih-masing anaknya Satu hektar-satu hektar Kuala lebih Itu pembagian itu Hiba itu Pas pabuk-mama Ali dan ibu ini sudah menikah atau belum? Sudah Makan terima Ada suratnya itu Kalau itu Suratnya ga sempat Ya, ya Ya, surat iba Ah iba Ada suratnya itu Ya, Pak Tana Tidak, sadara kemarin Ini sadara ini Ya, ya Dan juga ini, Pak Marit Penggulu juga sad itu Oh, beruntung di dua bulan Jadi benar ini surat ini Ya benar, Pak Ini stand-paling kak palsu ini Ya, Pak Iya, sekalian Dia penggulu juga Pak Tana Sebenarnya penggulu Kemudian Tana itu Tana yang di radang geritu Masih Punyapak Muhammad Ali atau sudah di Apa namanya Ali kan korang lain Ya, Masih, Masih Gak pernah digadai kan Cuma sedikit kemarin Pak Diatas Di jual sama Maserakat Diga juta Di balik kan adik ini duitnya Karena, karena yang di jual punya Seyadik ini Itu yang di radang geri Ya Jadi Cuma ulangin gimana? Yang di radang geritu Ada Maserakat sekuat menjual tanah Pikernya orang tua nya punya Terlihat, kita punya asyik bagian adik ini Berapa? Berapa tujualnya? Diga juta kemarin Pak Diga juta terus di... Balik kan duitnya Di balik kan, sama siapa balik kan? Adik yang balik kan sama siang jual dari sahu di namanya Oh sahu di ni ya? Kemudian Sudah ada mereka punya Honda Tipe Super X Ya tahu Pak Sekarang masih ada? Masih, kawalnya di BNK Itu arta berusaha mereka ya? Ya kenapa di BNKL? Kenapa? Perna sudah melihat itu Kenapa? Masih bekelian sekarang Ini udah gak pernah kelihat dari satu bulan Karena di BNKL itu ya? Jadi, mereka... Sudah ada mengatakan, kalau mereka ini pernah punya mobil Mobil apa? Inova Jadi, Beli Inova itu ketika mereka suami istri ya? Pembelian mobil itu uangnya dari mana? Itu panjang cerita yang kalau itu buat itu? Bisa disingkat kan? Karena itu hargata nah Hargata nahannya harganya kemaren 40 Hargata nah mana? Dia ada kolam orang Itu, cuma karena mungkin ada di dikasihnya 200 kemaren duit 200 juta? Ya, Bayar utang lah orang ini dengan sisanya di belikan Mobil Inova tadi Berapa utang orang yang dibayarkan? Itu kurang tau, bukan? Kemana dibayarkan utangnya itu? Orang kampung juga, orang kampung itu Siapa namanya itu? Ketalin tau Oke, kemudian mobil sisanya terlalu di belikan utang Mobil Inova Ribon Kemudian masih ada sekarang? Dari jual, orang Di jual Berapa jualnya? 150 juta Berapa itu? Lupa, apa? Bagaimana? Pemarin di potong untuk gereta Anaknya orang ini, untuk anak si Putri Sisanya di bagi orang ini, bagi dua orang 150 juta Ada uang untuk berikretah Berikretah untuk anak si Putri Berapa itu? Bagaimana? Kemudian mereka bagi dua sisanya Sisanya bagi dua Berapa berapa? Tenggak itu kemarin 70 juta lagi 70 juta lagi Berapa itu? Berarti kereta itu dikasih 35 juta Terao gitu kan? 70 juta lagi sisak Bagi dua mereka ini 3535 Itu sedarah kalau bisa tahu mereka bagi dua Bapak yang bagi? Bapak yang bagi, apa yang langsung? Bapak ke putri Ada jatah, papang ga? Gak ada Ada lagi, harta mereka yang sudah dapat ketahui? Harta bersama mereka yang dapat ketahui? Gak ada lagi, pah Tiba-tiba itu sudah Pertidik dua ya? Kemudian ada tana yang diarulukup Itu tana harta bersama mereka tahu Orang tua juga, siap orang tua nya? Pak Abel-Kadir itu Itu apa, warisan? Bukan warisan, itu dulu Ada kami satu yisuda kemarin di padang Periyaman satu kesiharan di Bandai Medan Dan kedua-dua orang ini Kebetulan, waktunya Wisu daitu Ampir bersama An Dia orang kami, orang tua kami tak punya duit Dikasinya surat bersama Pak Ubi di belakang kecerin Star 60 juta Di bawahnya lah, aktinya kemarin Pak Aktinya suratnya Bagi tua orang tua kami menigai Di tempoannya di ini Terlalu melakasakan wang 60 bawah ini surat Dan di kontrakkan lah tempat Penus di salah satu di kebot itu Ada kebot lagi punya bapak Dan diadaan gerita di itu duitnya Duit dari kontrak itu lah dikasih Sama Pak Ubi tadi maka di kembali kan Yang aktif surat tadi Pak Jadi itu Dikasinya ke Pak Ubi itu Saat mereka doos homie istriya Homie istri, cuma bukan duit orang ini Ya, ok 60 juta Kemudian Dita busnya 60 juta Itu wang dari mana? Dari kontrak, pohol pilih Pohol pilih itu yang ada di kebot itu Selain utang di bang Bapak tahu tentang utang-utang orang ini Sama orang orang siara pribadi Sama orang Yang ke dua cuma Pak yang satu di bang Satu lagi ke ada kawan-adik Ini di belakang ke diri Yang di belakang itu yang di pakai untuk kampanya Ya Itu utang atau sudah diklaskan Sama yang penghutang Itu gak tahu Pak Bapak tahu kalau Penggugat ini punya Honda Skupi Yang di beli dari pembagian Mobil Tau Pak itu Mereka bagi-bagi tadi menurut bapak 3535 sisanya Kalau 35 punya penggugat Di belikan ke kretas kupi Kalau yang penggugat untuk apa? Adik dari Adikas ikannya kan? Untuk biaya Pendidikan Kalau utang ke Akmal ikmal di Bandacah tahu Pak Ada 20 juta utang sama ikmal Gak tahu berapa jumlah Taunya dari mana? Karena ikmal itu sering ke rumah datang Ike mal yang bilang Digunakan untuk apa itu? Gak tahu Pak Ya tahu 10 juta dari BUMK Ada Ada itu waktu bapak jadi Kepalak kampung Ya Udah di bayar Itu belum Pak? Belum di bayar 20 udah? Yang 20 ke ikmal udah? Ya, kembali orang ini kan ada 30 utang Di BUMK itu 10 sisanya Terus sama orang kutelintang Yang dana kampanya tadi itu? Ya 10 juta ya? Terus sama orang tak yang on Nandam 4 juta? Itu kurang tau Gak kurang tau Pak? Kurang tau 70 ribu ke Abangnya Bang Tama Gak tahu? Abangnya Bang Tama Bapak Rp udah? Ya, Rp udah Rp Kenal? Ya Perna orang nipin jam uang 750 ribu Tau Pak? Tau Taunya dari siapa? Dari adik ini kemari Cerita ya Bapak itu Sebelum, sebelum, berpisaan orang Sebelum bisa? Ya, bagaimana? Engga Gak ini Pak ini Bila ngebualasan dah bohong Engga boleh juga Kalau enggak bila ngebualasan boho Gak masanya biak kriir ya orang Ya Dua Uhtang mereka dari Bang Acah itu mereka gunakan untuk apa? Untuk rumah Untuk rumah Baru rumah Tadi beli mobil Iya Beli mobil itu Uangnya dari mana? Ada kolam orang Di atas harganya 40 juta Di belinya Cuman karena dia dikat kemarin sama Abang Ir Di jualnya 40 juta Cuma dikasih yang mengatakan itu Wangnya 200 Surat belum ada di sebuah itu Berarti harganya mobil itu 200 Dan harganya mobil Selanjutnya, itu kan yang 2 baru Tanggung orang di waktu itu Itu sisanya untuk beli mobil Di tambah dari Jual tanda Jual kolam Itu duitnya Duit Jual kolam itu Masanya begini Harga kolam ini orang Mereka mau beli 40 juta Cuman karena orang dikasih Kasi nya 200 Oke itu Belobih dikasih Iya Biasa orang beli murah Dia beli mahal Kuala kolam itu Di dapat dari mana? Di beli orang di Dari Dari orang kita pepari Dan semua orang sekolah Saat mereka sudah jadi suami istu Ya Dengar ketakikan Ya Ya sudah tergugat Ada yang mulutnya nyakan kesaksih belum Ya, udah ga Ada yang mulutnya nyakan kesaksih ga Gak, ga ada ya Kalau menggugat ada yang mulutnya kesaksih Tidak ada Bahik, kalau gitu sudah selesai Terima kasih banyak silakan menunggu diri atau mengpulang silakan Iya Terima kasih Pak ya


task_uuid: e8cc7d26-127c-40ca-b16f-04082b393e26
status: completed
model_type: medium
audio_file: C:\Users\asus\api\uploads\e990053a425c49dcb3575a19edf3ab06.m4a
engine: local
created_at: 2026-04-07 07:33:49.346786
updated_at: 2026-04-07 08:12:17.686163
result:
  Ibu, Ibu gak mau lagi bersuamikan jamin, itu sejak kejadian ini. Kalau dulu-dulu masih harmonis ya, ya betul. Dulu-dulu Ibu masih rukun, masih mau bersuamikan jamin. Sekarang gak mau lagi. Ibu, Ibu, Ibu. Ibu, hari napas dulu ya. Kita lanjut. Ya, menang ya. Lanjut ya. Siska sama jamin akra. Maksudnya kan ada itu anak yang sering ngobrol, sering bercerak sama ayahnya. Kalau Siska dengan jamin sering bicara gak sama? Bicara sama-sama, terus bercanan, atau berpelukan sering. Kenapa Ibu tengok begitu? Aku gak pernah berpelukan. Gak pernah berpelukan. Gak pernah lihat Siska sama jamin itu bicara, ngobrol. Gak pernah ketemu. Gak pernah tengok? Gak. Dari kecil memang gak pernah orang itu ngobrol? Enggak pernah ketemu. Gak ada. Tapi asal-asal kan kandungnya ini kan pernah bercerak. Baru pernah orang yang... Tadi malah kandungnya kan pernah bercerak. Dan kan pernah dikeli emornya, anggap bernihannya itu. Iya. Guru Beka pernah datang ke rumah? Gurunya Siska pernah datang ke rumah? Bukan karena jalan-jalan. Bukan karena Siska? Bukan karena Siska. Jangan masuk sekolah, terus gurunya datang nanya kabar, nanya ada... Bukan, ada datang, ada sakit di sebrang, singkat rumah itu. Siapa nama gurunya itu? Aku gak tahu rumahnya. Siska ini ada baik? Nggak tahu apa baik? Aku juga ada Siska sekolah-sekolah. Aku juga pernah dikeli. Sering melawan perintah ibu dia? Ya, saya pikir dia ini jenis yang dingin. Gimana weh? Ya, lu ya. Beneran? Gak pernah mau weh. Gimana kita minta jajan untuk kasih uang untuk beri alih? Dia ngaji. Siska ngaji? Nggak ngaji. Kecil gak ngaji. Maksudnya, si Adi nanti ngaji. Kalau si B, weh dia ngaji. Pernah yang kulihat dia solah? Solah? Biasanya dia bejen-bejen kayak mau narang. Kadang-kadang? Ibu solah? Jamil solah? Biasanya dia juga solah. Biasanya dia juga bejen-bejen. Biasanya dia juga bejen-bejen. Ya, waktu sebelum kejadian ini, terdakwa Pak Jamil ini sering solah, rajin solah? Semuanya gak kedua-duanya. Ketua-duanya, waktu sebelum jam 9 jam. Atau waktu sebelum jam 9 jam. Waktu sebelum jam. Waktu sebelum jam. Kalau ini orang yang baik, Pak Jamil? Kuih baik, udah benis, berat. Aku gak malah aku mau dek kayak gini. Gak mau marah? Gak pernah marah? Gak pernah malah, weh. Gak pernah muka, ibu? Gak pernah. Atau aku gak terkena buat anda sendiri. Gak, weh. Gitu, ibu. Gak pernah berkelahi dengan ibu? Gak pernah. Gak pernah bertengkar? Kerja rajin, ya? Kerja rajin. Kenapa, Nasi? Gak pernah menpermuan? Gak pernah, ibu. Terang doktor, ibu. Gak pernah orang bilang, bapak selimu? Pernah gak? Pernah orang bilang kalau Pak Jamil ini pernah seringkuh? Ada hubungan dengan perempuan lain? Gak pernah, ibu. Terang doktor, ibu. Ibu pernah bilang, saat Sisika menadukan kalau dia diperkosa jamil, atau kalau dekat-dekat di jen itu, pernah yang bilang itu ke Sisika? Ada yang bilang, waktu dia mengadukan, dia diperkosa? Aku gak pernah bilang. Waktu jamam itu ada yang bilang. Ada yang bilang, kenapa kalau dekat di jen itu? Aku sudah bilang. Waktu ngadu Sisika aku kakak, apa yang kakak bilang? Karena sudah dekat di jen itu. Pernah kakak bilang? Aku gak pernah bilang. Jadi waktu ngadu Sisika aku kakak, apa yang kakak bilang? Mungkin gak pernah kakak bilang. Ya, ibu. Aku sudah bilang. Mungkin kalau Sisika aku kakak, mungkin kalau dekat di jen itu. Aku cuma ngadu. Mungkin kenapa? Mungkin dia gak mencari. Gak ada yang bilang. Kenapa ini dekat-dekat di jen? Mungkin gak ada. Ibu sudah disumpah. Dari Sumpah, dari Kaliah Kuran. Ibu, selama pengamatan ibu, waktu kerja di rumah, ada gak perubahan fisik? Ini kan biasa kalau anak-anak perempuan, sebelum dia berhubungan, setelah berhubungan suami-istri, itu kan terjadi perubahan fisik. Bagi ibu-ibu yang memperhatikan perkembangan anaknya itu pasti papa. Nah ibu, melihat gak perubahan fisiknya Sisika? Oh iya, aku gak tahu. Kita bisa disini kecil. Gak, karena di Jepang kan kita berhubungan. Biasanya kita berubah pada nikah. Jadi, karena perhatikan kakak. Oh iya, aku gak tahu. Mereka mau kemana. Dulu-dulu kami periksa, kalau kampung itu, kita paham. Kalau kampung paham. Oh, iya, karena kita tidak tahu. Kita tidak tahu. Aku tidak tahu. Jadi, kakak, di Jepang sebelumnya, itu di Jepang berhubungan dan mengubah. Bagi ini, di Jepang. Aku tidak tahu. Ibu, melihat dari fisiknya Sisika, itu perawan atau sudah tidak perawan lagi? Aku tidak tahu. Kita tidak tahu. Selama ini, Sisika ada punya teman dekat, gak ada lagi. Aku tidak tahu. Ada kepong ngeralat di Sisika atau di Sisika lagi, kakak? Di Jepang. Di Jepang. Di Jepang. Nah, ibu lebih percaya siapa? Aduan Sisika sampai hari ini ya, sampai sekarang. Aduan Sisika, kalau dia sudah berulang kali, bersetuju dengan Pak Jamin, atau dengan penolakan Pak Jamin, yang tidak pernah berhubungan dengan anak, ibu lebih percaya siapa? Ini aku tidak tahu. Kakak lebih percaya Crakmi Sisika atau Crakmi suami kakak? Percaya sama anakku. Percaya kakak kusiskawa bahwa ibu bertosa suami. Percaya kakak. Percaya sama anakku. Ibu lebih percaya kusiskawa kakak? Anak kamu ketika kakak lebih percaya kusiskawa? Kalau nyanyi, jawab angkir, jawab ingin. Engga, kan kakak tidak lah sama kakak. Ibu lebih percaya kusiskawa anak kakak. Anak kamu ketika kakak lebih percaya kusiskawa suami kakak? Mungkin untuk anak-anak kakak, mereka tidak bisa beri waktu, mereka tidak percaya. Tapi selalu kakak bisa percaya kakak? Dengan anak atau anakku? Sejak kapan? Dulu kan waktu dia naik, ibu tidak percaya. Sekarang ibu bilang tadi ibu percaya sama kusiskawa. Sejak kapan ibu percaya? Sejak mana kakak lebih percaya dengan anak kusiskawa? Jadi kakak lebih percaya dengan anak kusiskawa? Sejak selama kakak lebih percaya dengan anak kusiskawa? Waktu mengalami polisi? Waktu mengalami polisi, kakak lebih percaya dengan anak kusiskawa. Waktu mengalami polisi, kakak lebih percaya. Terus sekarang kusiskawa di mana? Di mana? Saya tidak tahu. Saya menunggu. Kamu tidak tinggal dengan ibu? Saya tidak tahu. Sekarang kamu tidak tinggal dengan ibu? Sekarang kamu tidak tinggal dengan ibu? Jadi kakak lebih percaya dengan anak kusiskawa? Mereka tidak percaya. Mereka tidak percaya? Orang kakak lebih percaya? Saya tidak percaya. Kita tidak percaya anak kusiskawa. Saya tidak percaya. Waktu kamu masih berada di sini, adakah kamu masih tidak percaya? Saya tidak percaya. Saya incomohon tetap ber nieter. Waktu di sini mulai bulan Indonesia, adakah kakak berasal dengan anak kusiskawa? Hmm...たиту ayah tidak berasa selalu bermurah. Abby jangan bermurah. Morning menikmati anak kakak assessed. Dan, dia tidak ikinkan anak kusiskawa. Ujian kan? Ujian. Jadi kita dibilang sama kumu. Ujian apa itu? Ujian kami sendiri. Kami sendiri. Adik papan namanya kami sendiri. Ibrin Gurya itu kumu? Ibrin Gurya itu kumu. Kami sendiri harus bekerja. Kita harus bekerja. Jadi pak, paman itu lapor ke kumumi bahwa lapor ke kumumi bahwa si siska dengan gulunya berat. Jangan di cari. Jadi senesasa ragu. Kami itu suaminya dijemput. Sampai sekarang apa lho? Dabis itu ke gara ular siska. Dabis itu kita pernah hati. Bukannya waktu kami menjadi guru, itu terakhir kakak itu. Kita sudah kenal. Kami sudah kena jadi guru. Waktu kami menjadi guru, Ibrin Gurya itu kakak. Kami menjadi ular siska. Kami sendiri tidak bisa bekerja. Kami sendiri tidak bisa bekerja. Ular sekolah. Berarti siska itu belum sekolah. Belum sekolah. Selesa-selesai. Selesa-selesai. Terus sekolah, terus setengah, kemudian kemudian ular. Kami kena tak terkenali Ibrin. Mesti kena jadi guru. Kami tidak terkenali. Kami baru kami. Bisa berin kakak, kujamnya. Kami kena jalan balik. Biasa mau. Mereka terkenal di kakak. Kami tidak dihukum. Kami terhutang. Gara saya dulu kak. Saya sebelum berai ke sini ke sebelum dijemput polisi suaminya. Dia bilang sama adik suaminya adik pasnya pergi. Ayo kita cari siska. Pergilah ke sekolahnya. Katagurnya, gak usah ini siska ini sama kami jadi. Kami belajar. Berani lo kamisan suami kakaknya dijemput polisi. Kamis. Saya baru tau. Ibu tau alasan siska gak mau balik lagi ke mana. Jadi siska bilang tadi kan siska kami berkisah ibu tau. Taring. Betul kakak, karena kan siskawan diberani ulang, diberani demur kakak. Saya lebih betul. Aku udah kolo. Kami kasih tau. Dia merasa gak dapat dukungan dari pihak keluarga sehingga dia malu ulang ke rumah. Ulang ke rumah pun gak didukung oleh ibu, oleh abad. Cuma satu pamannya yang mendukung adik bapaknya yang lain, ayah. Kami seli tadi. Gitu. Makanya dia gak mau balik ke mana. Aku kaya gak pernah. Aku kaya sih gak mau. Aku kaya gak. Pasal rajin. Karena ibu gak percaya. Pasal rajin kerja sekolah. Terakhir. Kata bapak dia difidnah. Kata Pak Jamim dia kan gak ngak ngakuin kalau berhubungan suami istri sama si siska. Karena itu semua fitnah. Ada gak orang yang benci sama bapak. Sama Pak Jamim. Aku gak pernah benci. Orang lain. Masyarakat lain, tetangga, keluarga lain yang jauh benci sama Pak Jamim. Kekuat dia benci. Kak, sebelum kejadiannya ada kalau yang mengusuh ada yang mengusuh ya atau ada yang masih gede-gede, gersenang kok yang bikin suami kakaknya gimana? Gak tau. Kamisli sama Pak Jamim itu hubungannya baik atau bertengkar? Biasa baik. Gak pernah Kamisli bertengkar sama Pak Jamim. Gak pernah. Gak pernah. Pernah gak Pak Kamisli mempengaruhi siska? Pernah gak penyumbu yang gak baik-baik? Pernah gak yang dibutuhkan? Gak pernah tau. Jadi mungkin gak kata si siska kan Pak Kamisli yang percaya waktu dia ngadukan itu di biar keluarga? Katanya cuman itu. Sehingga mungkin gak Kamisli ini mempengaruhi siska untuk memfitnah Pak Jamim? Mungkin gak. Kata itu kan hubungan Kamisli dengan Pak Jamim baik-baik saja. Mungkin gak ada pengaruh pihak luar dari siapapun atau Kamisli. Sehingga si siska ini mau memfitnah ayahnya telah memperkosa dia. Mungkin gak? Gak tau. Silahkan.


task_uuid: 921feda7-59a2-4ab1-be56-ca6434c7193d
status: completed
model_type: tiny
audio_file: C:\Users\asus\api\uploads\2ef123d5911f49fdac5be207399dc678.mp3
engine: local
created_at: 2026-04-23 05:13:02.737207
updated_at: 2026-04-23 05:15:18.451130
result:
  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Jbw3l8QGc_P9C4uNrqKvF8LQ-RRYujXqcc83ZU2ubomA6cUA4raRSZG7-4v-yd4X-SEuaoT1x_akPLb6YY6E-DB08kqnTSsVSBWvlNPyuOMkcxbJzD8YSREREOfMDLXagaoMvjm7YONKQeMhYnr-_e5a18lvY-2w7vfJotro0KJwrxU_IR7licKl9MIVrSVhOEe-iUEY-_kRV8Qwe3SFTyuHHvYSP15IHuu8fW-L_RzHV9sjo_46voxteuFvdQgnKy-TqLgZQZH8QP6YxsehPpsag3vCXny1u7yjYaFpekc34aqV7ZOU4nfUhJrBi35S5cy8RTafa7GA7iYiuAXvR-v4O1XxUGR1Oor3AyWjQbbq-BJk4VbIbL9ZB7q82GC9za_v8WX47FYE0cuLSyO9vfsOTL49J5288sitZ0kVswOK163kZ2Lte1QU0DBbhWBIsB010vTTup5X4iRypPcI-R4jslzKbMF8vObGA4t20RDiIAuxMOqstZbl_5gbGX8i2OdiJOErkZGstCKypIMhj_wfhGxsU1BIwIw-h2y7KbJ8WubjB7zNpkdXLhldA2tQjOsRfazQcKbFLxIGtuHLxgIo2NDE4VjNVWPEPlHjQc2TSAcMi1TxoHbCrVlIcLVN8-oJT3ocb7oSHV-R6kGRpQ8WRrU06CgGTai6Nn6IrGwEcIKa8ma4GxqP65gs7AGj33jYyfv4Nr1wVqZ3KkfOS5qwz--qcpEJnzaAJFXj5XqO0N6LKvqT4WEFVBlNEuNJmqbREIWrek2gLiK466RmqE3Cl0yoTDMXGgGjS_h5T2OGx0Jl7E7pqHOsim9wG8UZz1YfZi1ZzIEWkC0kMmCbvzUUeQmCL-ESI2RS14ckkS8Fh9c6gB08ykPfgg2Rg8vNtkoedzV6JmBldvCEwkQliN-gHqU2s4m3YCn0YDOc7Kq4OkgEJrLMT25mNICRX2pwl_xzEZHYYs9bNd-h8p208yXT4ZsxtpAe2qItfckujRgSgXN1EcWF-LWczfzrVAKfy2hVc6UnnYH2E8vgCOJ2ksWO2HNiKQ1ZA3EUs591cjf4BhunochOD747zxkXitLT393tIMiZsTxRJdeHONLe7al7PDoaPH0l3tUuslH1HTphR96Zo1ss2WCFKS8jM6gVc3IXJbcOcgKMcRolk_NLedF18BwuXig8nn751vPc4IV5gL7kRqmGO5Dw53dqDthQ88PXOecoiZDP0uiTWr4tt9UL6h7T3hIOBB-GLdjnZbhJ2WGpTqN8u5aMzuh8YZ1wAvg2B6XcfQQCgiZ6An34lKBP-mvUwt_zi6gpoFmT55AvevDs5Z5wwj_Uc2FrE35dtxUPKdAhlxyMDPjVuQlXU6LBuKb-zLtcJwUecmJEmsiFUNSl_zsFw6BGrGfPbbXwEd-R0poBbwMTuv5IrUPjMcajlJJYjCQm04Pk6n1ip4vSGeChzuEB6UEWRvkU2zox2oU0IQXWKvWOv5PXFVns21PHb1s_atjSLoa4ENNYWTnpsqtdFnAkSHzd8VcogenoKIpjtLFjNc8ATG28CfPnIBzRSYvPY1Wg2A_lApvVVjvSsIT0XrAPszQ8VXAEI_HP3P9pDrv9aL41xTBp4vGH9jrtQ6ap_Q0SmpfIHhdzWVHAZs9LGQgXar24ey-wldYFKOhRj2T4dTedhCvjDeyEdXSLqDVOGHwJPDOfFhT_pimE2zX_PQzY44vl3TMNLTHxGTmKiHthUCm5bLQ8SVvNndD83IZt4G5nWxdpe-N5hp68pjIshkRenXB8MBJslW4c8zX8uthux0AAKhMUihGG9XO2ZmN_9dnq-mPBmjb1h7rhhmAMLl6aS4jX4pi0BXt2dVfNHjrKdedwmXiT2dxwfu-KuIXVgEZNikiauPGhnczHGi1OdhbTHS9oxivIEI4k6nN-3dfJ4yyPbhUCmjDtpeUd-lwvuHjqJLka7aOS2lPUpZR2tPs1BgyckYNpTPdladkuCNgGDR_AvmFDLSuYF4jauT650B-92_u5yNedX76r84dUIzejMp6El50gT4Fdkrf7gbNMb98-IEg4Jp8WxJMP42IG4RD7NGHz0f6vtZeUNh9poAhmwnWA2QlxVGrqqNBBqZlB3jQb7vEvCPOIcLj6xdLd4cSQBkw8p13Q04D9lW-UaczcUNJBdQV41fphM5-XdV08jrcrg6y5buYhAcgvRIgr0eXpQaeZRhxUV5PoslbXeOKtaZ-4cfZysVnuQtG1HarBKP6KLiyYakiwlgPNfUNkSiiMnkdJ8ZgFmvHV0LsX9gtbcn_V6TpntmgAaqyYjEFP8Hah-9dJmTjTeHYEQxqWIfgwnmkCvmEhPsbxztgzhvfPuauQrlXNEmg7sN3t44Bpj26Ht2hMJGbgxU1r4XndNHFvktt_bSTEbO-EhZJRX-9qSG9rCiOZL8M5xHqgX8WkVFqvzJQX_SxUgHHQljKYIufkjM2ksO39VbkIIKm4ZMZ0oTadHuPIjJm-odc3Zyj9TOlEsNDBO7tiCO03e9Pmncmb9YYtojKTDCa_pdUhu1oquZWAqUdWkRsYSXhR_tdddwUw6-v0KYxAsj4c3AXiYsFulONtFWUiNBZvvfbsMK8Y8Hpy33pj2R9YebmnZi5pYb_JmZMQdrN3rxGwzmXdKuRUiJXkANZKqC7fMaEa7VGsxdZSc3jMQPo1inzYJhdwf_uGskieiY2xhxfgSHqV1deXoAiE-3F9iQcohPOWyfqevzy2cammWDl1HWjrZi8aZJLYx053J7r7VOnqDX6VSJuVGT9dKQIuXsoSehCO7e1FRfGz16JtlwI6h4aTnIYD40UdPpzOcHERfo_TJM5O5nmXK69STWVm-lJBbSZXQI7SUp-dCp3wrPXUiYub__Gi97K18a7oIFN8FNNx2_QQBr7Jp4y2T-FdI1lFPT-CeGM3yFVFNK_fw3KjGFb2BnRpSfGJdlcvDL_IOdX-58J_4hWQPf_vbAVl0em05Ixa-blnFcFdVfY3XZtY4QRoDc2mUAsgt2yeRyyFl8yz2e2j1RtmonNnRnWhwPqmBzIck9ifMrcWkfPJmQaSE4Z3LK2fDPsUpYJKc7zTVXzklcJyEt9GKxRCaqox_xJuKnM0lOT-jxxG2T85nQSj5v7B-euopiPNRD2VpiMeAABO8j9K238ujZLRD8Rtrv4jxlfnhWowidD2PiPnznAnoFj3iCGjuoY2zyFDNDMJ9P5-cWIW18mhwye6pVXp3XtUXGDRl9lKqQJGM82F4qbNWIdP9wgpI4qrj17lR_RLMOGhiMXtJ5wOrLc8OfeC3WvIL8dQuf6LTvl4xRsOP_EwwljiKTc3hpM1WrD-2gj-bvsXOnnoeFeG8_hiH8c3Y0m-eY8T844ekRoXENfGW3_PLVO5RBlQOFUDFpIG0JfRYw5S_k4zcywALPQ6RUJBtmdfVSdpCTIvNxfWq75IvEMHh3y4CPGjklak-xmtGUOI1uWMe0ktsT9PdkfLow4GbuCfNrrOLMRHusNFSN6_Y0qdeH_Kz3nHs21AqcR-T9Z_A8X1JXN60oZNwp1U75M0kGJRnWVIDNq1fqrrnLtG2B-SVL1xPG6T_Xe652qNQYAXpIbqEpwXOvdbx26G5THpmqfgpz71uqMYVuOwecRvB0nhx7DKWG-YyngsF9nmIrOGTvduIDrA6b0mh7JtGE-DloCnh-0D1D8CIydgzlCZ0xuuk8ZlcMPV1i9A3gH02em21dfUtG3_-RPBo_ruvvt4kPkcaAyTUe5P6YSZHIt16M_f9ND0WO2LpHmq3U56DnLOyGNQt4qFwS2ux6DUcVlKT-pHAieClSeYQTf3rIN1txjOMUbt07GGzUktKINq5Q0kU_Xf_F6B7_Gerd4R00iaVeA71IElqAKc3duecW2qWFPK7qCCcqLKF_uCjbDcZ6OuvgLkAy621q2x5Ob4LwWtAGMPD5LPMYSvfZ8qHT0pfKuf3WpQ


task_uuid: 9807b11f-f93c-4486-9bfc-d1fdf104238b
status: completed
model_type: medium
audio_file: C:\Users\asus\api\uploads\4d7517076b3f4ddebf97526dfd3ac620.mp3
engine: local
created_at: 2026-04-23 06:36:10.194422
updated_at: 2026-04-23 06:55:25.414232
result:
  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wdqBnfDu9NTekHLGfR04UG3vrpWCeyadRNRnTzN9zCS0ruJyTBY8TVWSwqLVtJ8hUbMeN_Y2eGOEeiBubj9CaRu6eorUYSBlz7LHVfFiFioAtxwaNRXw36fn2WG1E6kBPZ_cAUC22DXmzsIHV01IT2R1iAHt7nHH_8sc7SIOCosyvaYUlaUjSIyb0gL0jywEwu1IR-OW8WdLnEzGyEcg18ZWsRMW7Mrh7n_2LLT3A-vbUKra2Pa7oOc_aHgqAoVVn-X4SnTtCzuk4C6TaLtGKj76E-_hHeZCwUwCVLg75_D71IT4nZFDF1swJXy4aotJPBpFOdLsaWQ7dxTRVqLxQiwHT_ZFi-SFz-N6zVrodPccShJdNEGgzJj85J0KwW-iMbaRYII7LgRKYhn7Y65AtdYQ6tMAWIhTUmERnIEHMFjYcOtgVDZSEEixK6mj_qKqU8RhMRckTe2NX0saSlt1ySU1hAkwjirRBBbxoUBSvoT2SIyxhyjrw7FMKYvmzOB2564VBJKGpil7VHyntaLquPJZLjdNtyueMFmVGJ5_ye1hDqi3y0UaRrzzhTcqj1SkSwLOXwJdRoPvzyCdlAojwJBiE-E79d2w2ijj6zXe2myU7ty1_udB95a8vtkh-X41iU5aQMBdWR-wZBbwWUSs1S6GLCL2SYHvDPbREaB3JFL0dKJmqzGJc3THO0cn1uquaBdBFjov4qFq7YmHoi489zDMXvAT1sEciloQlR_J1AW7sxJjfvWMLDegSDqjTHknAZ8SgiAzdWxfy104EUsiowvx8McwnGAFzXv3_NTuYoZpyFphUl4fRRSAh5PqbhVo17fY2PZWXhu4MlfiUljYE9kiEviLt8wHucvwleVuC0Ca7I28A8fPI_Pmnv-Bxm6KC1TFnewkkOFs15vSrXwVgFDMT8PNfYw2txLHhfKLJcOS0EFq0mFiSwR4vieb9Bt6TEvuxkSSzVrlbysy8yQT7-2_4sEYzIWAlvGDy5EHsseUMnmP1PMw6KjEgzD-AFQX8maD1IPykNoCxiwaA_FZ6mDMPoluogj0x8OvXc8cyK32cfoO6_12PhErKxShvz67GbHLB92R94Lt-Tjk8ClEZdeD2VHSWs1Z3P1NeZyIIeUQ1RCFlZcVbvmwtD6aiU4H-ulb-dp0kLu9lZP8hHY_7yNQKkUGiOUZuC6bJMzZlBGAh6oherUhLLo7mqVwd_5W-0PG5IfU1roVz7nCMDCkJufBHHfOXxhNTxYBhiTEzyx4DdfySrS-33zd6qYFDJiEwxuVlYCh12xra6mPIp4c9Ni7n1DiNbCZeHRx7MnpaKTUpL3C7a3_PgpIZLjREi_pJpR0pKVUW53hrw7u9sorlxASYTx24oX3BSzBs07z7HvNiXSIdAqkzySofe73T8XTSUG4NYudQg-TOzQ3k1GFGv_D4FIsRN4xo1mFOkv-OaPHElf6gvqmqjpnxyvKDFMnm4rtFH3KANs2g5LtGtPL1rG1jD-vgWj4k5FRjYLLqpG_SYnV9-PFHePzLi1TcBLG60OPj3WtmmSQEms-UNX5yd9muM7tkzJBbg_pGiltFc17ts_fNZlT3RoWVmDJwYzO_6DTDZof1WUPwlwqgdwkRM0rQziGY7rZRTytbEUCblR0pTQIcW65AOIlRpGfMtS8h13C4j_j2LUsttrlqksrtVK-WKPaSw1tAo0cw5Gv2uoTLilIK9vKlYOscrl8tL-MOaXt4vHeqzpXDACih9P8iVAt8tRQW4d4SnL-KkHqup3kA2EahAhTuHTfd97wj3SJ0SIOrhnlaT3lIAnCtb3DNdTEguwJrT7hE9z4Sb9HNC4rK1YVmKh6tS-a_3E7Xqk2OrlkdvOzFG5qdBn11iQiyXodyfnWslqKC1URfoDzhwSVSNVsjK0z681y3BD7HCnKAYJR2HX1HLbEvI6SGlcBcglLZrSuGs-Medjq-9tMvHAmqqbrxxGF6bDlG__jbmqB2u-PP-z-s0tBalENIt_7m4iz-oGBHLMVhLSjtnUnyOVFqvtE73Qre1pGqrcjAUXNCD-tQGh5XjCHn7n-MvoDdhli9Nn2MZfz4l4LsM5JfvASda0rSWRpkB1AABySq1GvMML6g4m6jxAQLjESRBjDldU0eZZnX-3_GxbIaMjEIw5rkx3q-jrKq_KsBDjDNp-iXjOH3hdF2gKYChTpBvQDDlh1zoUoonWVJH5Fe_HnLIlOaGY0HnPAPNQpyAe3k8A6x3sIVb8BnF1FDNNrZB_qX7o6oJ96xux4RHWX2YUDxIqd-UJYKp1vTJKyp-Cta20IHRE_iDGQEYRfwKjPT_1jaGHKvHoWSADWu4DemhvyXniffor2JtxngDLHQuHYK2Nmb1USuFg9nGh65CvG94C_ylJtD_7LmoEZN_sCN4TvNuirrpViIDUEAo4vfozxIXQHY9e_Qx_USCbZ6Pb9Wf1Ezy-8q4O2sy3o_PMMzYzzP7Aw1odYsa2QhjHBo0inOZOrr8vCqb0JC2MlOuOwgdZm0CyPm0T6IWPGFm6ex5sN2i9fZxJLN7k4MZCAUVZP9LSvzMEFEj7sDOEBje-O2yBxaNSPIWYVY0RhYMchdhkYs0cxjFfH52iOVKFXPnH9ioFwXO6RIos1dD9mf-g9muiGP8NRhD7Y0IYmuOCNpZH_XaKTMhxHPPN-yKEBu-Spmsaxf6XKsYphJVVJPQ3h81KKkvb3NJBBifhM6Q5FBTUK-TBe8pbhYk2cslPbcQ2ceL3Lno0xyTgfisiM3tsHTJiI_fRoKJwYJESr_X6gd7Keun1clPz2U7WrYIA6JtfyfLieU0vvYqVrwnPaQjb3NplPtmW1ksc8Wo49By73A5G2kYMiGkq8fSZ2xG2v2i2CAVrDcAugDyaYov90lex3DMDOtL7ER2iP3AjdKA60NyP_F1gLLOMEnsp9tMDdwtYIXi3zJ7IILuPQ5SGWyrjZqYfiTs0ovDWXPCYrJanC_ar6GV8xTca_PocbJaKMZ-h3ADeMSC6EHD477a6dwuy9biwzXlmxuCT0kZoWmkj24dGkfPHlaVt5-L3x8ww00qrCSCvV7-qGvpHAL3vz4FXdKADNUuqYclmQSD-o1ZOpJERr5y_Dgov0SLAdWcKtQTsO2iuW-7y7so5WcZALTJAqgBzGLVY1eiyAGYUSNzqASZz2WBMlpLcnR_FHyPcMIesdP4vz3bxHfcLDncMTuPlaG4v4P7GZwAyK4TKgNgA_iwpwb0nbsQLay--MGPPifbM-4BENKyqogroMoZ1xB2AMJGfLYxOlpShhkuQ8LhEpVAxw0nBJ3i6qiRcb5bBAT0k0uN7KpNwsRqNqwYICZAGk6ZV4OzU_2ohCEjM13lVPoCaz2VKY6ANAe-P_ac7JBQgPC8Rqfv8tcwtnTqvE2Nch0-zcovOSq5QDWR3GLLo0aOZtlwg7EZlQu5uUnPWT6n5HdehzGLQ09MwixHNxIFFUs6T80OGo4ql_TkUo-QbHijYwFUczjj6kLYduiSsqhWJ1atz-NgQFy6o_DsZxtOdja571FgfXx6aLclUcPeie2PMBkomjaexj72MpHQbYCHggnfdWOfM3BQRmnAX_X0-lvLki_FdjlzJ3bYBQSFOTWfJvgAqO2qqZdBOf7bxf3UKryLiMYccaLkvnmF6hDN0zyVIb0GFwFOS_hIG1NLzy5ST9w7fj8YDEmnN67aOs9UbuH5mpg_pa3vEmTE4rykpSerrEcN-iZ4isgug44pzDLykQhGL1mwiMvhSLvhmmL6XIKuOhYormF9FwZzEluQv2QeQxOYoEwUUF5gwV2MPifYPC6-A9mF_pFbR0BKjoFm05SNUaivQpnV29JdFEivjU_HQljz9zyrrDFF1qwYi4IlyjX-1uaEWpjv3FqI4Sh-eoCyIDyMsQrouOpzNNPcwp2XEgECj9rU4pUXhdlxv6Vk7jaPpNAOtrZ4WvUcnfWNwtg6sKKjqY68_75UAUMYopbfGFKvAEr86lvKVLwAsk3qsm_ZdfdsILS5XuBHKp9XUegTQJhXeMeSgpr-HTBYg5W9pHtaowsxEGQG1UYG3jYV7v13r8rjMTsTyolZDL3jborNOgcXB7eRu-SuSrwUAyLJlQpyprdMxU8YBz7s-I35Obt4ib5lgOHpOjwukvYEs2kwO5rYES_-kw40eM_GbsH6T4jaa5LKMlPN2pciJH7ZRLLyA2-7z9wIRVbVS_aGiDiTAjOTvwWhSGjxT_6zZ8OGxx916B9P63dZmrpwyvQcJQ3N7Bk1pXy50_3Kfd6wT9tEj8GwoM6YFFd6TwmywfIpjPkkkxaM53RDKf54kZFagU8xjwE6AnXbJiAod57Dwb1GbyfVn5


task_uuid: 99981891-0041-403b-a1e5-6e35ef9ae099
status: completed
model_type: base
audio_file: C:\Users\asus\api\uploads\rec_5d34c97e18624420ab671d9cf5f58795.webm
engine: local
created_at: 2026-04-24 07:14:00.578818
updated_at: 2026-04-24 07:14:03.166540
result:
  gAAAAABp6xg7SGLSfe6i46tu7rtzhYZUmkFz9Wey0f8S2olgttpATyFY9CVaoBGtXXRArBinDhlXeKUD5E8Tp7HgHdWV8v8AgA==


task_uuid: d46b1082-ba09-4409-ae68-610140bd4ac9
status: completed
model_type: medium
audio_file: C:\Users\asus\api\uploads\rec_6e9e88124a2e4202b25ff7056151aeca.webm
engine: local
created_at: 2026-04-24 07:14:36.576958
updated_at: 2026-04-24 07:15:15.742794
result:
  gAAAAABp6xiD0dnN6buAsr-J47qe9nZ91zOtpUP99e-HunYdKqjDErnBL68cROiNbaMdtptpjfWBBjYmRIKc57pF2LtfdlhNDQ==


task_uuid: 478e66b0-cd72-4d7b-a818-5f79b67aea52
status: completed
model_type: medium
audio_file: C:\Users\asus\api\uploads\3289eef8dc0842d0abae5e6afdb2ca12.mp3
engine: local
created_at: 2026-04-24 09:18:32.981513
updated_at: 2026-04-24 09:23:09.509213
segments_json: []
result:
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task_uuid: 92e5a781-994a-496b-b69a-fdcd4cf4a8aa
status: completed
model_type: base
audio_file: C:\Users\asus\api\uploads\rec_217dbae79e7e4e1cb7035d2ff04097f2.webm
engine: local
created_at: 2026-04-25 18:55:37.836860
updated_at: 2026-04-25 18:55:42.965569
segments_json: []
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task_uuid: df2ee9cd-7363-4d7c-9271-04723f77849a
status: completed
model_type: base
audio_file: C:\Users\asus\api\uploads\rec_c697e99a95644ba6bbe00ae3aa755110.webm
engine: local
created_at: 2026-04-26 03:18:52.286024
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task_uuid: dd2a4a49-7a90-4b03-abc1-1a3763b2c605
status: completed
model_type: base
engine: local
created_at: 2026-04-26 03:18:57.343647
updated_at: 2026-05-18 07:56:31.245730
segments_json: []
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task_uuid: f8399ef3-b32f-451b-8a58-4db2e816aebb
status: completed
model_type: medium
engine: local
created_at: 2026-04-28 07:57:11.130674
updated_at: 2026-05-18 07:38:32.383529
segments_json: []
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eLlm76nt7nFFuVcwVF17IsuzU6ylENqXJSjjb3yrUjtq7B0bnZ8WVDPEMthh7W4_F6fJhtdi6rOAGoyaWR7D_gUyiUmWbC2mWo4qYsGuVEtOgMBqWO9psH5mF8qDdi0BNtvBlmwxHDtIx0k8tkK66OxoQrh3Komgd8ygpdmgIyx9_XaPgEMGNEVN4w4av3vc78oMk0Fc9353AYjwchtbIytMDmDyR8ywMJGGO6ZJUIsN3lIVn8tey0IvXK5isWJaxtuEvswJvORdNlEzl7mg4qfr4hYBr7bXaWPbadkLLWLHVSLghxxnCY8ROTo5_qYdpJkSTA3HIa1tCONfDWiU_w9iatIz2vw6tUyyjr5kAKqBpRhUYiglQ5w0VFxXt6uOKMtzH3p-AImNzFVDxJg8XNrzzs-ODwJ-mvRvfI42rlZC_DoH7RQREBHJE9H1EY4jxe05jLKDiSNJq2GlAL7zv89PhKW3SX_N1USOkv8TODzy9dtTHb83d4Iw7Upyhoe8brcIqDt41I0YSzdyrlA-zKI1QbpDZwCJb_f4SwaT9kVdIDvTP6iVEsR2R4dd_pAi3-7uSkcLgepBvlvz084BGUxcAyRqwceEHyNF_okzuknxJ5rxSicqL1JK9MTxYjedjlbVMNSqLLAJa95k_Sm-ix8o-GzGuMiEaNL2UaVvPaG1v1c_TtRfCsFyew-5ahBGDoS1CdrO0hYxYQ-5tJCsKI9-Je7mBIaweqr6QSgXwDPi2X_yYx0oXePzSlhgnu4O5mwqPZvjdUywfmksnnqmKC7U4Asj1-QEwSgExyI1jkpFt2ih2Qz_QLgzlO0ZG6hteP3xDhZKO-il1yKnuDU05TLdg7h4da1upwJ6mIdK52pv96JKGFdRRIcILRNnqxXIKzqeSIp8PGZxPxNIKYXJnO2o6EkJyC1T2xHLHfHhmq3_F-9Ft39t3hqxp1RYN0Nm7tn19v_WAflL8uXzEeyljsdFjlEZmoiNJ9AU3ASP5PzJS_10jV70zVWf3uSFEb2XBbmWA01Bkjh6oP6qsFpEhESXqUjHOON_iyDNm6aUN4Dyjfd4tCRxLuk_bRNDztI2MROJkEvEGjvhlycmjTcM2KHIu7HJyq9UNjZ6uutDAMGvtxVeUN0dcRn7TKnq2TxpQuOJZUOtIajAEX9-TlvJGVQx4nBHqmDS_cGHN7beqY7z2Hu1XpL2omTFJ9Mvhpp7Fdx8UbE0YLQCuOUgeF3UhjlCJ3lsETfSNMCMP7oqeikL-IExXVcjW84caPjf9x-v5mLmt0-YMKCDomu_vQdxlgP9ChozLKw5H1LzUxPL7_xjDlX9MofY7Kj4NwHOPjdckFYFstW4YnpXQqugVGXOJnX9bF1ygsbDgW3gsnr825k0IANJTq-uVlHHozKJ47L9XFq7o-z4LMBM8Cm-pBRh-piv-rUZ8IW7xBZPADx5TyVtWyEXSVJCcXpQ0sw7kiNYR-Iss1PlgsHHi_KNpOgNFJnoxGWShLzObXCrlBrLPIXJcKwb_27RSXBsbBkxfO6EleD5e8lBbiGYQqIWySpKfuYSn5b6nNcgsq4KF9Tz6Cpg5zbY1BpNi24ozjgGAdHVP7NWPVvuStJfpkqJZuB_ZPEFihz4AfIEocCl6eUpaBqHJeYPmrKzuxm6FzQqIldLmkE3NRkm1N2unFGUwTAJdx-Va6xRQ-67vTitaW1MXkBJetqb_kPEl2pNz62PydkrXNT_JxbdlJy0h2e68ueULLUcmRWlSRvYclGb4e71RSYHjPWHU20YZLlMPgrqI_8CvVtASCbQP6tWWotD6SztyVj8CxmZw3yQXNC5vQJvHiSOwvPgDIvidYikNQtiwXS6AbCoklhof5gvzhon_-7wY15v4wUITM_jsrhx2KDKl6yaz22KA0EKfJaIz1mOa2vxylKA7ebFw08jV0okZFL6fsRLnq49lSNkRKtoSr3foGOjDtfz5gyYZ2LbAMHhn-u6EHN63tnM9kq8_2HPMrts6q9vXY9FGixkbJdctd_MdbUn_qGoWygep7YMUxq7ChddB1Ep8Uf7VFpaLPl5mBCoOYUPXmDqO_6XkGLwfTBN5rCWCSnvhR59LYZ9FJae3wqvMj4nd1QA9xjMZ6tbLSVBYfN7biFhBKPdFeSY8juYOW_7n9b__rISpb3_EuG5IgO6KY-wpOF7oeSFxM8vgIqQCn_iIZu1S1mNGfKwQIU3TyCUnqZNUgu4pGsaavEk95rNmwwRy9hekS3bFySox1CRxe5vyvrgEFm74eI8MkP-tKxj1ZmjLnVkZP7-Z7LoQToiqkZ2eNPHLvqlhgcXsHUhxGYdZHlh5Kdm4XFCi5SIuo4RMvf3xD8-vWcdv-fln5NwGfkE3VkO1AaxqfFviFaDLmJWpx3LyWbahCv6py3HNIaqUrFDv2JpSqB9nPbAncNDmLbqIPb9PXFrbQtIDqQOdzhAGECJ5yK28YxavjM2FrogDtdFV06LeAH5i2iDBkThGE2mtzQfLJ0Z4dOpIYYEKOdTISCSMRcOJMLTtAdMfMw6O6v-OQx9x98TxL313evRAk_EWOAfI6rEYeHefrVVdaAZF0A0QwJmKhTRE-J0228t9crRgc_NAfQUxXbsBX5v3iPnZNf9BS7gc4OtRvB7B2zWBxQdgJceZOK3L_JLuU__HqDb8-nrftKC3sHqIa_8sfEet23a-LWr16F4nT-N9wn3xtiVbm9K6ddMKMHQUoPdh2uvfK-iwMYTImHd0QBYBb0TQQWjJWHqG7GW9FcsnmWy0oTlxJPpime9egiuUOENibNGOq8JgP0aZnRYMBj7uQdK1eoFP3KtRgYY20Sh4JxBbYmVfn9ZjhqME9Ya6vfqCQZliGr6Fj14eTqJcHcYZweVhUYCV4ac_8yv44x6IVa8kEVkiffCCQjo2MNyDesG60jRIF5jW-9gr-dHh8d87fDGsST37fvNcUIq-ifbpp3tHDEXCBYdftu6fhfultqeKAvE38Hzss7s2hJQNHCoila1GlaneWSNHlSodbQYAQjvL9RoCZVbvxvuDCf17r3HI_vR2bxzYnWfBHnknNcO-3IK9PPO-w-XKAXTXG_KbcvrJ_LGmFfSW_2ji8-lAOeOjpgpqGcOkbpRiUa_MCL-Af9ET7EaSG9Svw_qXHKNDhthoP56HE6xdlaE76cGGUtywW8zwT17WSUEUT_9vtFqd1BrdTmvM6sc2qNa5uvQom_NpbAJqnb2WoBqOwrhW-ILklLHUtWoZuebHtttNbtyVhvYwz6Esg9KwC1bZJ_l6FuFGCNzA6FOtHw7Yl0AAsUr6WVnvyGsq6pQQ3zUtNm0fZWZEcqoPuC_sJZ0pcUVzRD06Tt6ekbSIsu63S--OJEMonNHXEA5FBD3n5P-8QOdL3IZZjg5dCUqMCm58eXQiFDD5Wp53B1Z2hUPzVvEgaizrbKusjkvcXuL2MUzcj-bVbB19WkVK6glR_WZSv4HT_2ALVDbSB02c5Aw7Ry4tFQ24PTUxBYnYc40J9s2UBvIknaNXRSOqnzJQ-GDWHzPGYt5fIiyRtSL-IatPph3GwduztbX2eQhzKpQWGX9Y73mxRZTszrYv5DWIdiy5NQhAAQiXgXw7bVV1F-ThIDV1vsBRpy1Hug3pvBRylks4QNVr_7geGeP6p_L0P_lXr_BemzzFjbYd-tIjkRjhTkxv7epfMIYq2YYfmC-Xusk67E--dZj3SX0p9M4ntO5YOAAcxRceH_sLuldfXciuociFKqW6sc6Si_jcCa2o6SfByHh10DkGaRu-wjYGXw-RfG9Xpk_aTp_QcCH3CC9b_C7b8-Pu1dU9Qtv4K95xd2kvFA2opBcwIb7Ojg81KYRMSwxxCbu6N47nhTrd5pmISh7ykma5vS2S_TGz7TgjNjP6FgN3Ob4LRUIhJqPSWtqmJtpXMV8cLF0BRd9iaDtlDO4O8B7Lua20fPG-O4DFvPdmlmhNVufT4chttv7O58nIiPdwIUqfMJiRRrVZPqlEAH_Ol3TlmhiXih3EevZTQ3iKoz1rwcVt2sojdOUVs-rnJnsZ59g8uLtWrpB9-qt2yrXASEtrDn9PaMQQhsdFU0AoRmygaJQsUgU78Oz3eGJrw7UBk0docYmzSe0SKgzmoJAN5VBAm_kHmZgn3UEFKTN7f00PoT6wF7rTGMyvdW2Mo2qUi2a7Fg4MMTT-u6j8v8cSiQuUUEZCxP9CHHrK756A8GZz9ZrEkUkhee4zRLvWw7c7mOD4rojvQClsP8lT9DUhpDlTHcHxPooAlqjArgWAUE4cPryE6r6RWRxDIpHBVqLMJm9ll74lxXzUI2ljNyBUw-LnPjD-OwoXElfP1xjRPbwzoca


task_uuid: 14805833-5dc1-469c-80fa-5fffc0753a33
status: completed
model_type: medium
engine: local
created_at: 2026-04-30 12:44:14.232917
updated_at: 2026-05-18 07:38:32.383529
segments_json: []
result:
  gAAAAABp81bR96Qns82GmQn7aoE0BiLQzyc6e0x6YqWIQypjPK1LvmTqUBWs2q9uWgjDM9OjJZiR1dEForbzeBxhji-44IntYgN_ByQmH6cBfKVta29VgNc8kdxirZ1rkqEwFeCKpXvQuE6cPPWy_vluvyU7hGnBsAgwCO1BUTuvBmEgQ5PcyatY1SuvZXYpDnOBxpOqF4HAl8weKhhgQbWpdTcYiasz73XyNLMoufuQlOnNRvGnfn8EHhTCHsC-LePJZ04heGXxdH4VL037ZTg2ATJlMETs56FlSuR9N7NzheCuy5GeAOgYPgHt_TGvebQT-zdUn3vlTgnlGh6vV0-WZW-tGFafwjSzM8FEmBTg4ApdiTmk3kvKaUmYUVnVlvHHEkx38f9Ab259zxN8TyNvV8bl6-MuNDwTXPhKM4bZJ7cz20r_RU5vsdZ808nCVrAbSCzHezdtCzAoMIuWHSpyE5QamZ1KE6-BAA-mggCadg6C0IhkFfXtulHh9fiVa8uKpdIZ0anIxtRF-n-ckqDGKeNfm52lDFgkKKD72q5NZ6m3xAGvgRVDL4t3qWfBhbXTFFxEVIFKhzNXjb9HieMNwXk70tknDQ_ie6zXuzWXcE_o2_nGFiaSZKMOCByYAWOVECrWrzIUj5fg83HDzhmbEafY-X7F_493AXh76hn474i4hD36JSgAuC7BN2D2dWjSdgIUCyfJu88Ss19pYkzB8FPStDpTSlM-XeUPzb1m54FIfbkD35iXBTJJUBXMIeu_bb8wylX_JU3NpDxdJD49RUjnvFbXG17FukL0LLNRmdJaRGDZXGM_kPUcHfcKEJZ4QQ1XAiFI00aSIZ0SVDHZnXbyzyCd3XLAKW8vk42vk5p0Cd-sr5ri_mT-Qh1rksVdHD1My-JOVTSLYAn8slKPdyEYLLYMtz7ImLNFU-ZSlCem7aDEKXF1R4sj_xBUEy_oxdrLGlE-8dwL2SAYCIabc92TPUPg9oz7q7MRwA-Mm6iXUYTnYWh012cFRFvbuGYnzeWt1Ql3dXBhfgXqhCA2MMKi9RrRq740bbeFziBvbf5T9mbX1rs1TyMe6oLQZXw6VFPWeeduQdzK-ei60rSZSF4YvNA6IK5M-4l7FO57aM7UlVr8NfcJrMnJs9ueCeigS-OiOnl_9r1dBkrx3ueOkIrLvKyGofcGzh2V6nDltG2LECAQfF4WEVVRqtvGcL_U-ujJ4fnF4V_DOa_rtgcDOnVDpdzgM63mDxVSxRxXZxfArmXUxzE4WV55m7-ht9-_Un8YiNPuqPsipq4_J2YvfT8xLkFT1FOzvNqgBg4ZzEZjorKYuNQ_mk5-cfcBpcl8NU9rw3Z0cypmd3wuw-qEimfWxtSwmZUNGo6JrdwyDeUSKdodlgvX_G00a-TCSdpDt6xERQ14GDKM6YqR-FOBZndcj80hourBFcFL1KElJ-lXVZx_n52jeRo2aYb9plrFwteTMj8MOzz3KZTokxaZ5Zo8BYil2QBKgnRBpRz9GKmetSQ5L5JZk2Q6iv0Wy-1o0F5s6RoU_iy191yWWkEXqLFn5C4L9GbY6dLhxm1X2-080lwgshzJqDOGTDuTTmcAiYVfjE7t5lzVE2iMMAhvglucxk0O7yD6WwPM1DIDsAmRFJgGvdBkKiX_5I0bmBKhowK-kBLVn51DP7c0TIo1FOnzmOO-xP77ILcqYzxalHDzvQcPUZKn8os2DB5-gkhhcd3STDQsLoe3oY0eOhutabHmQCLGtfFL61AfJWgCenIxySCvAiC54YqjKNyPO1S9s1iFiN8MjIEAHlwAw22CtxwqmEFdpukvJUaOS6ehgfs22TZhNrXrbTi9vI_Dv50lSJGMYUVPYJYJEJsOzEXDnUpCkhlmY8E-UF5MPUvvSVeMoFRpq-LAd_ZP-JmIPQO0c3tLKS6gyfgIS43w3xYO6-GPKY5Ln2hU4co0qo2l0IarhAgyyEdZQxPGovrZLVqHGvdITJzG2EefwfZFHer5d3gBEbIy1N7CMqrRn9x0jx7ryZYAJJ3h_mYGNMZ82iiwpmqHrR9o1RYMQq3hJRMPDW05IvsKFUFlCR-_xP4z0Eaabn_jMOCi0a3xLEUNwwYcQQZpcaR9vc9ipFQTLAWYO812v7d7XOtNofumwhSysDbgHTc2BCWv3kEY2KmsnDZhG2z5wiMyAa48Vwwxj6pPYXBhXREHahrrGS9HWIl2f-DRakIVnmKWmHFXg4mPzv30d7gz9vq3Umw62CmdHMSEqMfRt93iHardS1EtuyuY0k-UcSYwR3c7jMIVwfdT34xfaPRNebe86gaOjNaMHg_5FIPoDPzgAuajaOu_jzGxCRsua1S6uW_rqDt81gjEVIgO93ytwhVwZW99oVHQDMM9Cj0f5idFOZ8qF_ExPh7oliwoZ_8Q4CAtjcXRmyLuG9XM5642mjL40GknXPpCyEPuxtKC2c5z0MExyArZQ3j49-iy6sIJr-gThYdc_MD1GRQOuoCnyvQiq5aexchP0Lhbrs7E519A4Mk06pVYdVJK2pEeLpObtPjlkWbLfC41_L2HdnNnkwhKYp7VtsLLwgMmIgHFcqV9AUqFptQUBjRx6F6jgE4wfWCRhR2dFRRng7-QCYmCSzXXOGfpGM5aDQsjr0taAJ9Rk7D2enMB68rVOij641WtBRidHrmWR1LhI3ZTYpnfgTisuNv00cOAV6d2Ze-V4R4RskbH4C3hQVtu-WqsHxTWkJqNJdnvIgbrIz49Ac0AFGYfEW3TYGx-puiAHVjz9R5iwZSJ_Hhm2zjBFgAUMDRO0oyKO11mztDCNYiqJP__clsRWQYBNRw6K_FTD9TNQuHgScoA4c2gUmIrm8w3C9XKVU3ScUXPbOehVnF1nynhQuGti6xAUzbMA4lUL8rvN9rBnFa4D6RWcBeVmpeXJoZpVky2w4DTN2kneQtWjpEhbHL3EA1gbg5eqGHVVebNaJKf7Y6w9e9wgnUykGwl7SnPvnod4V03NvLl2opoFr2QM0TGga-wl3y3gkCSo57aYZw5b4ITV8tICwgSpGsTO8FYlP4ORi8wYFyVku46dpNlN_61YryrtRHn9D1_vcGxt1pkUBxRGnoXsBPm49KFq5v8WPnBRV_Krv0qYMkybpzp659CbwFhkVl3DB8CLh_17QMyYYYbe0pAVKMr7MXP_SunaFDTtJO9K4-LwZ_BLa9JtqPGRsHOaPLxsqhFC30s4RAL7fqEfyA-874GPbDJ1-X9sjCBP5xPFn6WLvE0gO4WSw2Yq9ELrGwKQewEGKSOkdpq9oEsu96siuE43-u6K2MKUjWMEVwn1f_J3EDKqlwDQgNCGgcnM2kJ6iTLnoogrDSqKNZzJyWEY_bKMvdXpzq9ZbxXAPmWyQu8ylR1rs4vviHvEo46WWQMbb6pML2buHZT8npVBmtJPCRLJy9oyccVJGaveAaRLePmkBev6tknk_0-mB3xMPUjsbY8xAZWNcvp3gZadyuf35YfumduZZIAakU0ZDj0Gk3YMoOk5-1PoGCUanB-7qul4LeFCXvnWc1CJBSTHyE_wA1JXSWKzf2z5ND9c8KZvdk6eEHXgpvMuDsEGowxQUaCtzZsnX2tOlkCGBQLp4gdRr54-jLR2LBAlLlYbRIc-qxuOvWkkgWtT7iwk24cnsqnEGg68EE9sN_wIAmX4iuApgQ-lO_-ToK6JPObAVdqUU7TBQl-FnI-kdKySBDfTFudh1z5t1mFXs-WGz-3sMMubrhcse4nmoiQzhkfRD0X2H4YKM7nKqT0Xlh5hR4wd8N2vSAoSWbYuN4tha3mfmhCRcj8H9XUzH5N15dUmvyXQ8z-mued1KE1PX2Zp2mknbTbrOwaz-vEwDAk0tQOUH4xGmfYEhUHoJrcaLAShaZQsH5XEWYxJ-1Qb3MUi-xrjyd_RE6CDKBeXyc4IhO2gH6-jEjCdi_V3qRYZ5LXkOwB6bIhfXMrSEzqifFZm18WqhWC2izHvDueZzcSM_Jnm54sIrCtMZ9wvigMyk29oAjBqIXuhs0LQKAlWCPYNxKut2GZg09yvZ6wQjbQt7pBGBabTSosbCo9WjGxFEIHYRuIiECPIZc2x3OuR_1wtFZy_zPj5d6wj7dNGEoCdUJnKJ1BSpLWHkFL3PpTpcMwwEtIpt9DWFmDfSP8O4nVXOVWY1SqdW5cgPKUM1KnZ8L-zYiBqIZYVGpWPKMuqYwOp33Ax2mUq4Eq5s3DW5d4TF-wvowl8KG0EgLG08YbfcEjnqi1fntzccnHSi6xZ9JyqlwskalAlxgNBapNn1JgVdvGuIOsEHUdowBgtwsyiu96D_is_fb6Y4CR7yCEPwlpGsjfa8Re0RWfCAVEDw3sCdC158SzlUlEzzmP9WdjPbRBOneaYuSIfEohwUM3QNvNr1hyCmmZ7ksvfJ_JEwgSIKF4r2NLvbQkfL_x9AyLxVUF93WwkKvvylSDlwI7XnhsDA56CCHfA8rZ2N3dGLZ2YgWTgNPrKcvfvdGrf15wcKmY2N3TyUxNhuDHK4FCl-LC6WmixviHrj9G55aXRZMeYox7dxOP6QbpslWMIU8e86_8DAKstC6SkH-kMq3WW7vlkRGTZesF7pEdAshyRRlZ4P56FYkNd5Qme4aRUA_KrIlKpfiTEvyXDKLBaOR5BMg5KlPH19WSYFXbSYumSqRcqcrpJdAO86uqyYgBBH7NKo2lq3b4hqYgvsdvZ9jocJE_2SAQxYvClhTX-ysGZpUh_UI4JSHjTlRbIKveJ-hhlhNe9DN9uhUbXAEmYOwcAOngO-5HsAslSiNQ4rIgkMjZ_y_c4qtzoqyWrIs3prBK1Yfp6F9PKbnOY-nDcx488uoOGAg6vn2RSsWFUOrnXD3lBVexPj8UqOWj5M6kc1Pfi2-ImT4HEfmXgMPPiH2A1gey0nxHxFVIaxj4Eda8tiSjTFNnLwrFv1472oatl1lg4KOdbN9OOF85WLL7KYh7oHTtQhJot3iOgjbC3drKbia7Fj4WxlzcDngovBn02r1V7Q2RL9z6AXq5eXLP3DxNlvhVDoqzs8bkZMy905Lr1UPXvBDJ_WUnGklX88S7gRyl7SNABmCsUS6nSImXoDl2gTXjYz5Fm5daRJNLAYznEOgsJsMiSkY_PTtl4ZWWw6ksjU1Ey9B3yz6ScoHe5HaKbuPoPe5OAbjW83YA5v4n2HSmS6t3znOHziI3u5s7Wnf0z5u4EWvHSQXbfgw2koKS31S_QdZaPwHNlR9yD8jn5Nv8cAaMEqKcqO9kMFpsV3zdeVzAA1V_oEONajFWAQt107Y7EKTv9wgNpwAjuHmZ1OXE7PhcL1oQ-l1zFDAw-j0gSePL4lMRAe3QjxRBGIKlsRlHy14QzTUYge8IhYjdoyTTP35GvFNdXKuJ_sYvS7NL0rYqlYIu8fCLvp6Dp-RCDQYsLzIyj9iuR4BonN77lYZbo95P68XFGPp7qBNsfjiiphZ99nYJewi9RxxKQDEUtY9JUV5g3lOxpVvATQWI6_5eNMLQa6xdXp35a72hTkXtAPAe6vkBjj-YmZgF6jBB610Lh0R8ECvl1fPu7c0wocSdcadWd5ie3nKlNjRuDBzkAm5hFKKE_4sd6KlMc4pEatD8XCgAIlzLx8dmCauKZ1KLLvpTSKvmqfHO5K4eC9VI8idbMckWgLFN4Pclg5V-Jhau7BStrsXmaT_xkLbavNnfmKhaFXA1SMcjMphQ2gOmwQ0doOuISZudcAERoiL4FJCNAhMJjEGR-7xlTuK09laIU5cQq16nZB-Ug1O-K4ZTl-L6V3jwcycIjVXun2RHVUK_VoMWN6hyXho325Paiv5YKHrmRaw7j2-7OackxBo8KAkgRXnhptYkWl9k-cLYIjj9eSc5tUYGNV_GgJA-tF6sfTT6FAKPGHeUwQBGiL_yK0SIocKjTfJxKyQPnIMC1f2EM5KGhJ_L6i8o81vyUo1X-gsY6pcPYqjnCKWGe2Od7m23PZcmqwhl3QuYkDN5TIqWF5jCrUO_YsCeMViloBRUnAnUaJZJ0AtEYpSgQOcB9RZWpwnX6YX3iFTvfqd9nx2AiDKkYzDRkVeTTQffhzfqSFwBO9WXgnHNsMXNoi5xdh4f8Gnaq2Qb8chK2sH5rjxv0vDo0l6qNn91x9-DHSwcoiyH6bC-mHcbz7MMPdar89CGi7h3LBreUvN3z1YE94CpHRuArFsHk1PGdM2muTsYJN67K4Z6zWW4hEQCjKhvcyEDpa4vwrk8NUQsHyAv_tF2IDRHtvGSFnTM6KpWGgWsWaSoPXjUATaohtOt1GdrHFDXILUVtmyu30QEUxlpZCE7KniWI-E6Yt86P9_KTx_28dfRQuG8l5HJPuy6xdz0GNlzI3E6P1Tg3Z1hUQ0HqJIo6h-3haQuwcwNNukuObsSXmkHtgJ_25RPuRyUOe9dG93OdPBpzYWEh6VSwfk2cWlpIVyhsKyzzBsOW19l4jrtYHNwIP5XTNzjE-S7IhR4gVdLRaik1rNp6KKH7QYp1AiyJmYagaZFYeiA_SPBJsZex-I2aXbrAwjuiUAzNhIDyeJZj-zSh-MPYSCy9uhQcRR2jHyA3R4SUiCb22oXYvO6_Jus5jDYT1BrCe2qyYYss4HCmN7MMjLF_jOG_cj694JoN03KNw7PApnm2cotrbSF3r1vSdqI4kt0OzHgXKGrpWsDa5S1i9-VgeTn3UKvJmjTuBPgRxsfheU0gYl9e1hXfKYe2L5S_03BnrSnFOw8yTXXtQthb32aeFDQsUo6ZZvI79Zje9JOtJS_dEtPVY4xhcwbpMaQ3-aBOeuxvQF0GHIZCIv51y8D-iwRxi8uF9oNZOrH3u-52eniUGZC_gqCFae8pC_0YyLrOxtjwb_sV5X8c39rq1aQsR7enPi0NM7oI4TEWBUeyTZdJMC0hZG8sQX2JrAdMzH50PIqvzViT0Lr2dER0Opo84JoPTKoPIYOjwooCioIcb2Yy9Gzi3YdMHC7p126NLf8iCyIPaPdEc4yLQPjlATSO9HDKXQESY3i7qhnd6od0cN8A6gB2otLnaEFPKgG1xFkyhUaxzzLYz3r9n1evxeKhVJY-mfyiCrCqBx3JlH14j7Wwf8kUdMC6MxIhcKiqDCCc-vqXbYALyDeqiHzciEqNQiY8OaRnJ7VO292KY4ZE9XSFk0GWJHLcKwsmJLNmevCn42ImRnKaOWkB8bhnQQjbLSZIUgE6FC6kkBVAgqKGUThc-X78Bh9KSCoe3zQzUYRQePxz96yNg-PBYJ0ad15VeT1ixzSq36cdm05_vF_ZECEFPRba0k4NWOMuhgIOrCPv3atQQh9uTulzrkU8oKwj2ZW3Zq8NQCnUsQKJsHFGuDVmfu97HbBh8CqLyCMFH66Oa7d9udwASk5NtfSHHFak_tB1IRYrL38ejwbAoHQU7-GGB1uJ38Ng-ozUCsMmMFFR9OiE_Lk11W5bC7VPZp9MLh590ATcMkiQErBqH5b507i8IE-Bp-vC55jh9h5YWn0T9IcwB3y_vUXbmUuIJWCbHzx94A5rYACX-sJ8uxD0TGzlC74eOsnBqFC37xgXyMPkdeTQxbiQlcOy2zBV0MzjBBmDhtYi3eSUZi9UL4ovijut6luJV6D4ACg6tjTfl-NjOxLwFlz-fsO2O7HCDMHZuBJWJ0xwNDHZ5LlnN5ujPiGjDubhIaqASfzYc4Lwtd7vDi6Cf27KqiV94cC7ohGowYNucBKUkGZItSrWT6QHtPjtojgzaszSSoYbt3ddZC1fy__H2n0_F-J4h2AQPve5XSieZNkX_g1iTH0CFPGyuA2NgcEk_oT6hvHaGovAOrwU732sbMCdZvxH3VcMyBAwxZAwU3CHlnL1QIu3hWC9b6uOOMcvk_vYQgbD7df2MiIbecamdAK_D71v37lZShR12_VOoBF1GH9qmIqlRyc8YVnv6UUrgUA_2ea3Dw9L8RmPBbZUW8Lf6ULPuPg6t269xBPNRFHjGekzLp5laOVPIxQstjOQKkJOTZHcqXvnw-DIsbeBwNkXs4mgyGO9lC2aEL-hUMMeoF9fbQrfTcu6VxHl9syiyYJDSgb3FDG9nDlZGfGR1FLWWVQ5FFNKHl96JxPkcqhcSy5k8n-64dFyCE8p56Ey8xNLOaJ0-40E8aQkTbwe8QIqh1dvzhaA4Ii4JbiCPydcxiiiTp3pHgXzIN6n6M837XqQqiYs-gSbOGWWqfQGsZy2FvFoaOrT5unFqtm6hIH_IUuDZ4nNQ-eAvo0Ts9ECnVihFK-yTxoOR5FTZH2xAvUbrXYVhhkTW3R6JOvDdzybpxj39JkKYOHlgNumoQ89VbOraRSU2pyhn_Ejd7i0ApQg63HIJz7akKaNQ-ELsxY_qMCpiMRJqedhm1rjMr8kTEpEkrY-sSzVzDMM0ZluzyGqntFiDmIQQTZFg2PBD3PRVkLzHrwhgzGuEieBaqmeeOFSaG8HUwASlledXb39XBXE-iH5tt8xFbdcnetttOenqNQNTiBGRjiO9QrcYyuekrotrToWV5F3NU_kDJmSIBE0uUNJKdoBP9MxTfj8cCkZ5Xfka7IjRpnD7hh88n80a-on2FlLgTlC7kEg6Xs7aHrUKpJL8QJGklCcmfkwKmq7HFbbSGfRmfkKQ46OlmAMRR7Dv3qOGiIxAMrSuNAQLTm542NMIscz4KvSnD0ZSCyLBPYSvgHiN0yxVQLhjN5EG548_oyiChi-3kMgMjn_Ej9ewNqrBJhmO5suN4ycelCYow1Bi-U0YEYAXzAfgi4lAE_GiEyidWz48wAAj_lZvbgzmhV1WNt34Oq70JnyEnDCios4PDCG8lsXb-L9ZfEbpc8knRbHHyLme9Qi8IOWyJKQGAZihd7MaCCBXriWGk-Liy84g4BgRWSkxMHTp4vxRRutiEM4095Iwvftj7LTJGaDIMxsYri_fUG2Bsf0vbS7MRr_2ofdc-FnaCB5sF9R-ahuqb-ZJ3pPs_X1FtmTHJoTIEDp6zxNH8x-yZ-H4CnvUqX7swGiPAkHJm2FeZD-OPBlCYbwCtsBZpyXnIAmLh6oL805rWLFnOm_QEffa7qt_2srlstM1jfSoqRQSW8gplGeqfQNjnFEPGCT0BrQ04f4SYJi6zp5p1pkSSg3n4nEN-e0KGYiRXU5pindY5TGivkw_dl7jE_q-YZJigtMrg0PoaOOXwr2DXK3NolcjihnP-mPYNgXim-ppEEXVRo72845NjoazP6gwkDIq-bst-YKL4HJG4GRwwxc6RQYxMaPBbLwkKaCRzdl1F1lLacynzvIiDCluPn3Xcvc6Qv0mCyEWdr7lGdW3k_5DBTW6K4ll5lYbvV0RYSsf04EkOHG3aTanLHmutxCpUsfLJAZP5WR_ruuRv3hVjl4_swSCfHpfIEwAYfKe115wO8e-4WWznWacG464k75-WiEFuVeqTLOYSAPMHvCQzP6ws8xlO6M-FgSzdmgvzW4EXJ9jSSI6t9-RQU1vc80_xSEt8MO6rJ5pFL-0Z13WizsQeJ7MCnrV16YUWz2WtWr2bbHyhN2pHGIP9ElMzcj17pqko6WHfDxCkcANzm-Kt2GLcpqh87VTcgegJ6eLg6LbICwqp-6MTaBoKa654YskjkQYzpU6j3_a9fw9x3-8giXlA2Gn8iAPAJ7NjmT16WfEFZxvfivyk164WuWrxUaFwx7zuyTotODu-hyeQfpckd6PL5DpMqb60Vg_-gF_MagNOfF2DjhFDa3F5KQdosG7OViU07Q3lKRscxCOKHa1N4PqrDgWHZrBTvWWHcin2-Z-VtLEDEEAgYIOIsn2JYYoeHjIzIIrkhirVtcqw_5lOSiaPT2q9nXEnZN80kIc6e5v3cdPRmG2BJgnhGl1qjsjhXaKeZMr0bZBCyQWRn8L2hfLQHUJx0jl1cYXfsDNma4u9HGutYl6PApZD4YMdcmAN6u7FQBGoxPoCHordsbUFQBQcpKS5skAS1zhgN55P55l6QDBDeFeriVa1kx8iTTgm767GgxzEyZIfRow6w3u24lIAluwoeAF8Gy4aFSbOPgeHjpM2IlVxZyhRT9NYLPlxCjiJ48CgjwU45hPZK59lxkL2Qb2tKQTCq3dK4TBkgDqUCP8P5pVIVfqy61wWuT8MX3bJvDNUacKs-AdkTA3S7qdkNHuDYRwPCHDSVUaPcbGveDb7mLLl3qnNk_4DRcEg0FK4rWolchKEvQq9dy461ZFNs_l0IBLjlDAPp_tksNdZ5uMPTUevpjqWnU2mW87EWNNUBMPWUgP02Me0z8Xjug8TxRmDO8m8aYolsfNJQQyDg8YFc597Q3ikhbm1UyszCT8QwUELS-lvQnn6nwUz6i41HOoR8lzkhG7r6aDipAJtMTd3kKw13YNHxTWW5ysTMUhVWBo-YO3zzFHskTD9Eg6wF7fBJ4v3QZyT9ETI2OAzkNFj9O-Ewf6IWeIzS14_DiT2Gng_8cGWAwFZaM-yKHt-wRPQ1db-nV9Wg3h_hJ_yuQJH2l1YOYJ_CpsI3TddopoEUiWbvTE-f9g7o-pgkoFy6ZBsRBbH_D1Q9hDcF25a_jFqnZdrv8f-H9nJ-HvpfI6fHIm3jT_6gfvJfXFMlaMYJ9rVrOm_W1EnW-5ThInvQsKYJzif70h08fG8S54jauMFsRb9teD-XAALMcpNzAlEQJqgxWlUxrQLXqnf6IsrlutjxlGQdpPorZh0tDNYt0Ls2qhlf2vlR35Jqrq1Bzh6ft4E5XHCdfE4N727LtbROPEEa_0HsyzsW6zPYaYlTxf58NgZ7qXiWp_1ig858ixDHjw2-EzZn65i8b5PEZ4qtocZlDkBXWn9tpbOOZ51Mr7zzew8ypIw3UyoKCw9GA53sMOjlVvP_pa26MHuC-gxo6EW-uVPsUpNiTJDQWRfMA6ZxpR9VFjFLWIJfaBpFUaICZKjNWyRpVv5Ma_ZfY_DbYdeCL9SUxSuyogKC2E6FY3fCSeTUMLb_2ltYyFjsM_dOBa8uRduYmnxUG0f3yx4QU_APYYtnMIhG_koqAExZ6lLfDkVjqPNPicvgpAuoP-tzJZZNVp29Vc1uLrEsnyauQNdvYuI9srNJPexq4UwYVgV_X7eNFIJ4YNPHOS4Fk-aQr9rcJlwIGCM6RdcPOZ4OowpQ3oO1ngiqTapkDzvGEB8JZym8rSB-TRDUhQ1mM2ZpRgA8wXwyz7K9TJcYrsCLYZaPD2pBu2WEEW_yA_jfSTmlm1MXP5v2IsPERZYFV6_VGB9ske7Aj44guCwMpefOfCpoJ7bW7JAYSFu4uePDux_cdIodrJaGkYJ0pUbI8sMvlT1OAQ-2UPXTutvBwrSBHw2vnzVwEmxllbUYIHB3gW_6KDGHjXwjUbwG6d2YW5JhaVOYYvbbMb_H9sZsqwwTDrI9bhX6r1zKOAUjnUe7FO0D3Afu_aHoewpMZ3lesKfM8yVzv3EF5wteRNXAD-EOeqywVpDEr4VKP0xNO8_tUMPpOPY_HISjaZxR6QwfMJ5coJYHF3shlA0CDhSyQk9XdOpiLHmKZwsp2RfaxtrMIrO1u-rEs9-vbrDTyCY9q-NCJD84siR7Gn2DMHtxEOFjexYlOBZ9Rsa8eICzrwBM1vydgxrRrowUws6keQf_5JSp7DW8zroQN6WWMufUXwEhhcv25XvKEUgqq48nLqhySth9_qTkpAqwNio9-5uGnCh73FUrrYhft3h--tz-22zb5Me4OO-U79yEbByy8hAzQcVGHruN2nuMD7wXgAL-cCnszO1QAyuWLuB_9uXuXKTyBpj53Xiji0Y8goXV7yMTVPA9RuCtsEPq3h2-qVa1op3qHGkcl48PSBmAzWK6fhygHQO1N3pzud1gzt87p3U5CbYO0IvCsWtvYyPKMKv3AcIp8x8R-xwQHubHM1dhFcLJ5pbInmmxx46h84xOjxrmPgUKBpzy_y29nPe6c80-tJazqMsNs4yaCUz1G0q3RSJo-WkdXq0M3UaJAk0wFTdAjPLaTm2MJ_u5BM9JCWVFWpi0S8SjIMSNraOS2_i0pjBKPonOGh76OxRBCWchgGGa5xTz6qp6DGp0v8X5XqykG_Sxrd2XvyZPCzq1RZp1168_P8hmK3ZyKKD5cPoNYqrF7xdmrrtcSD67JsJf6TT30uenLMy8yADG3NTzyeeXTh0hnAkbTTbie2laoCgfQUxfGcWJ7fU6PphEkLAtZ-SKRhFSHYEq_HSqbpXjk4w5gGSrW9omG8RvX2iSGaVmm0CqYKc4gCZ6JDBCykrYb34RJ9_L2e6aWtQRvj1-qXu92nG0ryp-QqVdSjhKN7QDJLmozMFddhC4mNvWjQBfLgtO-T9YPTdtrut1nB_D-tSeqmN6jfNpm3XpsiBbg-Fsiam8AUerVHWBZcWLc6Ot6ZVGp2sDrC0zQP8ezEcFzE9IBCB0hPkm5E0mphg-JCbTeKNd1sMpuJM816wwVtgXMPX0gYy5CZ-Gx6ipnYqz0c3rLeFoT2IhhLWT4Wr6cIoNAmAMG2teuLbQcPfk3wj-63OsyFOs73AaQoaOIIxTBq7hxaXkRiGtDpeQ8mubC5vsx7bjKoGOS6LTSOCRlttjdDPWh51DnVUanDRhOIFaONTJl_95m89CbrMrcna6YhCTBl9DGVkG7D58Z3NtNW4M8ImbdFkgALGEvcnVCnWsAAepGnOItV6T1b99kX85eOe3L1qvx9I3E03bYRmdg6CslzmMH6SJ0AfdsbVABFGB_efAkx57NVGhBhj4Lq6s-ovMp1KEt4JW_z8mNGBgowQDLhj-AJ9jCmvEXZqZO-a08v3ZREueJQL1Kp7HHtedsRjEs6NRio2MbW5e01XY0MCedY7co-MBc4iljfJGa6NpImDtEzyyEX5tRae8pUw6qdFWbEJDM-XVZ8P0NaJ2EFAfZdSWVvCzWL1lYujYRaYx-_4kmRa48L2F3Y6-M2-avrd6dNRWnvqRP8I7lnX--gyvXwPJZehHehaglXKNruZlavyVBnlwRoWBP5J3H_2UXQRdzL7MWFaApz2aU5vBsiPjRiRxgBGscFDPKRXDhitavkAM0TYM0LSOFbOCp6gkaXCe8B5ORV64nQM4Ho1vZ6h0inEa0terNJhoXPV4dSIg1p-LFYMOYmRZmuMW4Si0GZWdJfkZAaUKYwfuuaY4NHQIWiFQpMprg3MkLmad_wUuKjxwym9awdjo3vmcde8cszMAPeQYJmWZM28DsEXslX14vFMcKdTJPZ52-OmKLJkSYlimCixmJ_7GHcIzTvnN3-NuGj9oH6grrlAqvCIhxLGZu0w8IV8et-uyxdv0j0qVzw42DIPQYwENx4owV0PsVFvNwerEG90XTbgWe9wXN-NYfNL0i1fPJbSC68LUmFmYArRpEsrXL-CmYbNnSzJ4Il-4OPcu9TfIy2o-6-1WE-UL9IqLpLHrrx355G5gRrmNVaVMlrOHXu7Bxi5NaY8JPvN2GwXlS8LZ5Wqt7HBZG_j865DU4YbPb0DOYgH_UufuEQysb7sDOOc96tHaA8YpEYcgOchrUkFWY1VVckTsDhKWxRGOVuU3AvkBUd0DdIpQC24RcgkgA1rDE1yWUd_eyFgiTbo3R6JLqQfGPk3oQUH_yUhe7k8ODgtSAYOkj_RFZHTNoEReDI4vunmwhURCVIob05w1TGjtGNQ6_LEG91SGlbKC9KpEqkR1NoyWZUNML-vZhMVxTvC7xZviILCRVGGvdVVGHCCafJwWiVf6H5s98B86cP63tp5evtRFPvDri4anIeNrJqF_tPUMCIKo29W6--Hgl_Iwni0LC9CPNHFJx23lG9gEfZizak1boYGmPViCpsX-HPylLx9nVXia_wnFUZcwTrqQFw4lcochjUsGjS4BCT7lILp6TO3f8imWZe4VYDjJhr4LIIO789XI8kL_sVItPdK5U6tzNc-tN4_-emTwNNaePN21B80=


task_uuid: f768dfb8-0648-454e-9334-c611d0b43bd7
status: failed
model_type: base
engine: api
created_at: 2026-05-02 08:13:48.995919
updated_at: 2026-05-18 07:38:07.006791
segments_json: []
error_message:
  HTTPSConnectionPool(host='api.koboillm.com', port=443): Max retries exceeded with url: /v1 (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2427)')))


task_uuid: f419c78b-1d68-4ef5-98aa-3e66a5c1bb5b
status: failed
model_type: openai/whisper-1
engine: api
created_at: 2026-05-02 08:54:05.341379
updated_at: 2026-05-18 07:38:07.006791
segments_json: []
error_message:
  Error code: 401 - {'error': {'message': "key not allowed to access model. This key can only access models=['openai/whisper-1']. Tried to access whisper-1", 'type': 'key_model_access_denied', 'param': 'model', 'code': '401'}}


task_uuid: 4e1ccfe8-3d3c-497d-90ce-522f2fe6c2bb
status: failed
model_type: openai/whisper-1
engine: api
created_at: 2026-05-02 09:00:09.872165
updated_at: 2026-05-18 07:38:07.006791
segments_json: []
error_message:
  Error code: 413 - {'error': {'message': 'litellm.APIError: APIError: OpenAIException - 413: Maximum content size limit (26214400) exceeded (26267022 bytes read). Received Model Group=openai/whisper-1\nAvailable Model Group Fallbacks=None', 'type': None, 'param': None, 'code': '413'}}


task_uuid: 2687645d-7183-49b6-863b-8ced0618c7ba
status: completed
model_type: openai/whisper-1
audio_file: C:\Users\asus\api\uploads\2a0cf78bc18d407bafe231377a19d47c.m4a
engine: api
created_at: 2026-05-02 09:04:41.380237
updated_at: 2026-05-02 09:06:03.836977
segments_json: []
result:
  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


task_uuid: 2457739b-416e-4b71-8fe5-91dc92a9adae
status: completed
model_type: openai/whisper-1
audio_file: C:\Users\asus\api\uploads\rec_9f88f0826bb040de8d4da89b511bb687.webm
engine: api
created_at: 2026-05-02 09:40:42.003455
updated_at: 2026-05-02 09:40:47.454517
segments_json: []
result:
  gAAAAABp9cafW5l9ezrWAECVWFtK8KkBKRE8qqbTYwY3c97Nh-NC6lCMgUAM3408wsmWN_R6UsZflsGnRkpRmqHzmvjjj-aOLhWftMnblJhlhtGCN8oFd2Y=


task_uuid: 1fd5bcab-4ac7-4f76-856b-c3abc66249bb
status: failed
model_type: openai/whisper-1
audio_file: C:\Users\asus\api\uploads\bab289d4910d4c1b8a448f60ac57252e.m4a
engine: api
created_at: 2026-05-02 10:10:54.437451
updated_at: 2026-05-02 10:11:31.088963
segments_json: []
error_message:
  Error code: 400 - {'error': {'message': "litellm.BadRequestError: OpenAIException - Invalid file format. Supported formats: ['flac', 'm4a', 'mp3', 'mp4', 'mpeg', 'mpga', 'oga', 'ogg', 'wav', 'webm']. Received Model Group=openai/whisper-1\nAvailable Model Group Fallbacks=None", 'type': 'invalid_request_error', 'param': None, 'code': '400'}}


task_uuid: 2147d4c4-1f16-47f7-8a36-614407728b34
status: completed
model_type: openai/whisper-1
audio_file: C:\Users\asus\api\uploads\4fc3444840a3448ba05d95436672f284.mp3
engine: api
created_at: 2026-05-02 10:22:52.858605
updated_at: 2026-05-02 10:23:53.371470
segments_json: []
result:
  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


# berita_acara

title: Berita Acara Sidang
status: completed
model_used: OpenRouter/inclusionai/ling-2.6-flash:free
processing_time: 17.8
created_at: 2026-04-27 12:25:55.416103
updated_at: 2026-04-27 12:35:50.227725
qa_json_encrypted:
  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8K_HtreaabCb-brNEb5MIHpwB8slaesAJa2S1txNI0ykek0zLiSRtlQN2NcZEy_VBTPNpgNaYzYhi2BiQPMu_N6RdzSHrg_nPYzyUYRwnSbYJi0bk7g5EtAKeiAOL7MXkXhUi487-N7YfXqWIuKqfGHEpjhdfviFLjZUmIIVUuolGn6Q27YsDf2AZ92MBUScl09C8OLR0owTkK65qE96eNvUAEEt2XJk0vB2zF-to3Lo7GjsVgAFD1h4eqtcZ9xb9L3UbWyd7i1RHNHu9x6ocS7elPR2qb60c6YiW1ioQpv7nPqhjZJVlmU8M7i7aA4XHK2rfzjhp5z11FQXM--KiZpfcA9L4KGQ9wOfYMhrYJfonie8NQ7RgSYnivJ4e731FXyCn9BYEgc8lIWCBVVaTvFnIVkELt0pGlRtb2qbJM_9HNvBexDQTsQDydmK67aw2NMz3oGRMiebkHlMwVj1XYGPZmgQycRgWE2_l2AfBxPyt4ncklqvwLLHawguvkrNHlNI7tEI23BIuQbGrbU-7q4rWqIApLq4ojl4YOZZg5-kRajrz3-r4_CVcd1zxDTJ1ASJw7GATdlRQg02Qc_tYWoispGdCduiDV-ClgryAaaye1lR5WmhzWcxMD7txYyB2g-315CrTDhbIN_YhLvQ3FQIMYbEcJx2Bj4xjEAs5NfKt9pQrhJdK9W6h7SrKDtfjPnvjfq8Xk9LbrRJXcee7bo-9vmVvXVrh1ZVnt_LEbaTK9bgbOy7WDcxSiml1_8hEMGLJ7cq4wYmpTUVgdBX70KX0cJ6X22HBB5xBx9Mp6fzjrdFqJ3m4VTBINeT44UWbvSE2KlzoM5rtKe7MrNGa-hLlWCwL9d6KNaXvNgHky0gzK6QpDCAN-zvncRvmshh9io0vKCWbq7bDCG3x9MGGACGvHpzZ27qndNJLe6npl2Oj9J2X8jx3635_Nqf16UkVw34YtVErr0E3V0kiNoS3VhlURu3_o0UJBmrYmLAZobI-rjytxoJTVJgcJt9ZsW8LmEuPliWsNJ_sbb088okRD3Xs_a7Pbh6CEA1JWTbRKJy5ptxZ3Y2I4RoQ98S3QTV0dTnuBKRJg44Bga6P-l23LADDtxTo4dW8cSbaK3Cjr16FWmT4vdANQ9v62ck2AispTDvJIoXgSwlw-FGICPUeOWvbfQIJ76zjTJwxF9bLUauU7H-UtahkbgF2N1yPFSHd78fCBLBs840cJ0t2JRat1yCGptw53Nqoz6BrB--FHrzLP1QnNPibAeBW07XaxbAAiNfoz8Q3_2OgHnNYJYFJ401c3CUQTULGYA_xlR2-WKGr-JIE9cDqsm4aajWRiT7J6pd-0PVGImShfm1RUx0h5M3RXT8vUl-eVgGdfM4uCY8O2_oOoJ7_CKR_6j3xyHKw4C4c1MlapVmPXA9SxxJH-HmOdZhdeHbvjFX8OrPX7k8YhwBjCNyWkKFuX2L1ypzi9BhcTRDyFe-iLSKe_gwZiCS1ZyjoNCbnkp7CFnxvy8DEItlYKm5VAGOsYzPU287Tr8WQZN4jkEM0EX8BYu50ofYB-JbKk9T7echni5jraJWA115MbXNl9YwXeo_x9C7V12Uj-boBdamSB9aX1wOrM8z2krTF9CAdkOKXpaHbNPVm7R-Gqm9TEjEilORmQBNgbwn5-bQYb9KCrHgHEa0iC9RaHLUQouYgAkRECHvWaa2690wiegJs4KLwalEzRHgQ_n0bCN2cQ4pODfAk5EZ06s1pr1yhCoRc5g3Aujzr2VZyXGdUqMC7flcTwBwYXgpKqIdIeGCI1WFK5Ssh534_vTMkqjMLIwa7JCaFW5TILhQCkUHd_UXuACfAAVHXnyIS80yea_YX0wQWBbbKfQIR-HwLDjZUPSLqgfQYp5YjkUOrJlNihLJMQJCoPRJ4bRa9E1vRMp0oFAsdU2fk1jTvg0_eJ-jjwRE_RJppTTka_gtdayrMbEQs5SwVXC6aw1WGaKfrd2TN-x5SCokK4sFB6phbOxKWM6o6PazmUQggai2RbnmcQua4BskjA7BCVWRLkuhyMHWBPWqG7BVBI7rQiXJCboGWlsRFTP252aoRg1UCv0FR_cEjD4WfLSpfpFZgHLxQBpsZsfGXIjgmFe2kNh1IPXGymY68mnjUWlO4ex2Nmfppl3TDLl5FKgtkz95zug_B65cqxIyQ5YChlPF8AOGUuEzwXuQFJQNpmOX9tI6t_-ZlllBQWvR5j9jM8ixUSUJ-vwDYiJnxOSeeINo3jP8gqkog4X2_2zDdS3aLDI89Oav6FNORiHtAhU6_h9n0Icpo9fcbIJpqlTkXsWKcJC8FsdKeyv-02YbD9oOU7mQYJNew6__iR85vyAqKX5GHSDW-isjcGCBlItpuq0_wYg-1rEzflBbk4P9vXELJ5gv_9Rspza74ez63_6ALOPBRRwkUa5a5NocN7CjAnP9pfYYonmpOFkVQojPAP9To3hQZPTCIw8OYRhU1JxAwW_j666YZ_v1RS-oDSpthCbv4NDFQESOIMT1ORdqP9q8eXfabnqmKUfahnEbQ2cbKR8aPzain1I-D95C6FLE0Rz2AteWOwF9N6ZFq5pQN5vWSOcVAgUxAWbDRAj0gS6InbeHai_4eaeCiPj3c2CYXSmZBW7c9Rw82GOVvqTuc2_fkqeZAHPvhv7HSHyN7nbDJpAwQ_PXjxFfbX9w2gp1Fn3go9mnq98sJaMyvuNddDD-pJK0nf98Fen4Cx1SXqq7dXgsmtYioQGoIfeW_0TbnkN9NyjwmoA3fnqpDk5C5S25efvnKeItbKZpZHw7iwx-TBMEihr25ve24JslCFxqc0hpvgXFsJu-ptajCTgQNViBdlVXspAypiWbbUerQg-W9e5RTmITYt1f83qROUHYrcB2fxyv02XOBpwqqpH2WtA9LPWPTjfO1HQ-XAGgZjEXsqJtzWY-FhYD7QwnqZlP0vuJ80rsjrSX-7HZGKcU57eumYnvnz8Selda6neUg_V8JegZgoHVQcyEZnm2-EpFbyRygRG0JgOb2BoRKMSW_H8pQx5MeV6DXzhgDuW6sZ6p9uynQFA6iJy3tndYHpC7uUQHZNUxLHdfE2bMt12OFSb9uQHy6rATLz_TYN8kteG-NbZf5ihR4yoHuOo_saqobpVL7O7sMR6mzNABx8swWoSdM4LzhhajhrsTP-oi3nLHWikq6mynKYyV_3Sa35bHZrBIYdc4hjVCzhaBaYhuXVfm2tnJ6D6CaiI-S4TkkGRQQKCq9v_NVjGYyQAnfkhsCXjMVx5U6_W1NVOIqcU5jX6KCja-Y8X2RuzbTQuhkYAWh6V8DZxp4HtNH4LwZ5j1E5HpEvr8-WGAHCxHFCnzJ0pAa9N2dmF0VJnlEioD3TbiS9b67vZj4csKipz1fNBUvo0tbRSvu5NcdisbtoidRC3lJXtozXWL7qzx5gljvVwsuFC_-wb9iBHcaZBV2DSoqYwua4NUor0BdYfYdRAxJDI_CgPHCN01Y-KTzSLcHyISwJuc0SXPf8IlcgdARFrXYl93BEeGJ18spN6fAKfb3Ch3tWIer15ItoFNSGXbVfKL56ZN-qvw_mfZH6gF-d6SV1VcF1IIxklrO6cCGl9RBpwQZwX3X9qvm-lPJTto8HW6lhND62zhd60AnKkf8IqwgMq8t5eCCzE_X5wpvlahdPnzomdByLr2zth7-is6CSdulFmx4RF2Vi9lOjT4Dx-BfGxpXfqpDWDo4VLKaZEn25H8Fzo2gDNd-JT7uDlCoXWmPAWyhdixat1bLc1R8KFnhe6cAD8pVq5Lw_v4esa5PDKPSA0Uoe3lXgSOg3-3OzTpBOkPUpRtvto1KkTd2dwA7TIyuf0ZnN8VVtGdgxRxGSA_UAFw39rXL_n2CxbJmPGsCL2GqT0_MATy5Gt6hVWGJ7bfoYD8wrJASK3Jhtcq5pJ84fMsW6dryhLxO_fmSfErMVU7Qb0lxyD1BYk53Exy-mv-Y6DBDxMN9udZPOzxZhK1BxFGl9tHdp8a4oQoAbCK_mYt3j48PMUUaEGhjVwFPCwWM7RrYMFdHtPVanpYyKPdHbeVtJopP2GG0BmvBEMJEhNy8439iZ0FaCJYUNmZXsJvGFPehd-L-upUl94TvZJMdmVOWUsXnNH2Qu84oezLJnyYCSqN18ehA7YELjgYbZMFx5R4SHF174OfrSJegPSLeRIf9FjCEL2-Op21-8IJ6zkXE2tqwKN6_5gujczmb-jdSNFtpuruoBhgtaSFkucUR3or6L_SbG8n6ti0y9iQYN0JGhzoHolwRtdqUPU18KDINgNc4neA3oNZnaq4pAPYc8uRJ9ZsIUYwZeJTg102k2v-vGk3nZzjx94uErLE6coE2-7UGov-8rMoD7KfOeDQCUXDnYCyPgdx3Sf1kIT6QWvTU2g02sbeFI7V6ohtet7rrW3O8b5DLDaXJBv20zI2rVUvEC94fJslsKB1GeaDNSOXME7T6kAywGxbWP7NLE1j_CLgjJ392vaVZIonWSnyUagIUxtkGZ9ULPtogIieVmgu530f8f7M_ABbuORk15eyaQcTLWNWD2NHjpdnqWa-s4RnPJPG9oDDEhFrD5WqfYVaAprMA9uD-XVAtCY2j0Si7l8l3Wz9W6RwD-2Pyh952JVkl4smVon2hs5sROurWT27sTJJO-OM4bl_yGe6eGCBrJr_KzPJpMOLiAb_hOvrIY-G9WvEPNTy_bAIFlW3MDt2nq1UiJAVW0Kluazlm8sr8sAMAWWTERKeeUx_jUGf-mVL-xZmHD4w72XGarchh-XXdEsaJ4p_YkB1C-2TpVbojJVXRE2vs-GiinfbNpLob7JDUNzHLECk8uY9YpfNAC00hEQmBD6us6F2GhJpctv2vH8ciQnaiYwU0JSkw0VfaFKYqOSRXXbiAh60SH7C8A7o9u2_3NjhpPfjNqR307Z3te9pnX8olwNi3IY8L9bSDsPEzRQeVHxeHlz4ykoh_SbLYs8Iwry-209rFJLueVe-M1upGHpkG-SRK_z9_cpAdx83A8JaymlrW494_RWgSbtD4wH1ukm9mDipBgU4X5slStBGu4eeHVnHzO1OJlraynDJpfjeERmcMlj3x8qNmg2bTDHqfgsS37sHd3b0yo6D3xpqfacsYj4uMjUNN2cmD9ClSAL-OgutUn6JjPPu05ui2MRdqSLp1v9P3qhxYflbNOUXH75FHS8QoIUC_Ejo0xManjIb5NP0U6wC84HKQXkGyQ1jNK6RdtWQoFHvKmmyCkU--N1I0r4sfnXTVBoQ9bB2ceOwZwyNskxilEbzYj3JTRKuoD0XiZi-WJk80sUbg8hhkYwzOmG5UFuW2vDwfUy8ktJrqa6oQaldqJlcywb9_zlizBYBG_ma46wO6VJnDqBc21EpNBiTGpl9kMpp3_0mk9iEUusjFgGtQrn73w3IdSASHbed_5gUHMCYwpBKD6XUfNoIqxZ3gaAbV5sB4RKmgr6CFp9y3EWXuDTbSHdOY8s11klu-HzkdurJ3_6uzJzvmhwP7nvgGPM-vR3p0uyYrA8PW5IKrXgmnmoysyITa44KXRCiVdwzEiQijdWqvqDFGYwerXFN7Z_ZdEQPQJrE02Dj7wqT4WvpYfji7iqcsqQ_up1LNFUhc5SpS8RqTIseh9bgX5OElNGRX9ncDKPjNofk2GNDVdj2nQ4r3pqyxz17EU948sNkqPxT5RnwuZ1x2rmoiUObch2LA0RLxqqSrDjBJK_SaENvrzdMGsRapQqt2kpYXyUiodhHCrr_ZQIMpSfWx4hNJybGmPlBB2RLnHRBAoHUJwKK2nS3uqB3Z2kxpVtjmBRIuo0yahWbRRA8pyXw9WKtuiu2WMHKBqAdGyWZOPn_hCQd9B-qI7evRCBK44hBO-EYAkVf8inzInj9XGWo6TxJAy-mQcXQU8Ndqfz3yTBaXbOtIcCjVaIyQMS5-mFoBmvuJnw709xKleH7cn94w-dB9AbtQRmqtnsSX9nlse8qRnyeVUistpou9Vk63DaXe_vXQ9nHL5WYRC5t0YZ-hiX5SpbSC9eoS6JgjEDnmgj8tfJJpqCP4eAzqAW_mFaAziY5ojuAAcfkdher-1oZKKE0YAs5CRwOuhqa0Zt0am62tti3vkBKwiTDrbUT0G7Z0m85dXqla6NHM2dZkMIaC75I0Ec0dZ85TlpBgdq4ZjVaU7u1AnJAAcpsZhHYVd8JBf0wo-DGukDr-4Vxo03D8R3SNI_RljLSo2QJNXhcbNNpAU-iyAcLBg9iMGC9xJ1qNMdyM_SHh3rRvyHI80AMsnbvEn8UHHHoi0GNd6eRh3XxTR5_qdJliQWDpBni1MUEK90rCgWSwOqzvDbsPkEpOskeiv2Awg0UO7OkydFVokAvNRdXi4qMOnxYDq1tjlzH6AiuoY0O8jpLzX6XwpqiooO3D4X0WmBA6WwRHCuX9Hf3eHp3b0Pik0nUZXCj8AD2Rx8FoASLlitHZNg6pKw-HT10wHu660erMPt4LU7vHk842x0-2StbO8_7qHsyV1K1-mx3m1AXuPkWtFQl-LvRrnC5L_PhbhZO-4ELE6_8UMHFEtmZZu33Dm224PF5zmXwMerNpSpkWNp1OjkbWUrfQ9RASZVSjDMcmiC3IpvCwOyaolfmg-Re8B1n6wD2A5VibT6WgnooVgj4Ktg0RpjDJdYk3IrKjt1uCm1SywOruY7pJ5-j54CSl3Fm9qcLSpvmV77GLr1ZTM9mzPDwiCwbgDRSUL1G6apZsOQrwCgMhJbnL8uFjBCss6aWtYWGway_BPl4-f8U3CiAw3pftiGdi97f6lJYLskc7wOnJLGyO6I_KE8iRxIKfAQaauG-c67Y5L_UMxwyoa6aUHnh3sbJ30R-YCozNIAdByTAFnY7xQPgi0Xz_RVPXKShtFipjBkqd2W11Lu3TFQYbNzbtHdDx5t7_Q6PBfcXyh82ic6bFdwhY9TWrV766w2RyOPz9ihZcO5jPrdVrlCCmfO_83FK9iaBMNcFsXgRX8HP5TO6xoaC9qCxZfpLoTbGdrRO-3Bl23gVpmirLJeTK9Wgs-ZJmWsrA16D0szaRIOqxMg=

prompt_used:
  Anda adalah asisten hukum. Transkripsi sidang di bawah ini. Ambil SEMUA pasangan tanya-jawab PERSIS seperti aslinya.

  ATURAN:
  1. JANGAN ubah, parafrase, atau ringkas SEPATAH KATA pun.
  2. JANGAN tambah atau kurangi teks.
  3. Ganti tanda kutip ganda (") menjadi tanda kutip tunggal (') agar JSON valid.
  4. Hanya output JSON array, tanpa markdown.

  Contoh:
  [{"id":1,"question":"Pertanyaan asli?","answer":"Jawaban asli."}]

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/inclusionai/ling-2.6-flash:free
processing_time: 5.91
created_at: 2026-04-27 13:00:37.866734
updated_at: 2026-04-27 13:00:44.556927
qa_json_encrypted:
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prompt_used:
  Anda adalah asisten hukum. Transkripsi sidang di bawah ini. Ambil SEMUA pasangan tanya-jawab PERSIS seperti aslinya.

  ATURAN:
  1. JANGAN ubah, parafrase, atau ringkas SEPATAH KATA pun.
  2. JANGAN tambah atau kurangi teks.
  3. Ganti tanda kutip ganda (") menjadi tanda kutip tunggal (') agar JSON valid.
  4. Hanya output JSON array, tanpa markdown.

  Contoh:
  [{"id":1,"question":"Pertanyaan asli?","answer":"Jawaban asli."}]

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/inclusionai/ling-2.6-flash:free
processing_time: 23.85
created_at: 2026-04-28 08:38:04.979936
updated_at: 2026-04-28 08:38:31.661029
qa_json_encrypted:
  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

prompt_used:
  Anda adalah asisten hukum. Transkripsi sidang di bawah ini. Ambil SEMUA pasangan tanya-jawab PERSIS seperti aslinya.

  ATURAN:
  1. JANGAN ubah, parafrase, atau ringkas SEPATAH KATA pun.
  2. JANGAN tambah atau kurangi teks.
  3. Ganti tanda kutip ganda (") menjadi tanda kutip tunggal (') agar JSON valid.
  4. Hanya output JSON array, tanpa markdown.

  Contoh:
  [{"id":1,"question":"Pertanyaan asli?","answer":"Jawaban asli."}]

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: failed
model_used: gpt-4o-mini
created_at: 2026-05-02 01:17:59.591827
updated_at: 2026-05-02 01:18:05.002770
prompt_used:
[cell repeats an earlier one in this file: 445 characters]

error_message:
  LLM API error: Error code: 404 - {'error': {'message': 'Ling-2.6-flash is no longer available as a free model. It has transitioned to a paid model. Continue using it here: https://openrouter.ai/inclusionai/ling-2.6-flash', 'code': 404}, 'user_id': 'user_3Crbt36icTlmIa6k0IHquspy9lC'}


title: Berita Acara Sidang
status: failed
model_used: gpt-4o-mini
created_at: 2026-05-02 05:56:47.423951
updated_at: 2026-05-02 05:56:51.880444
prompt_used:
[cell repeats an earlier one in this file: 445 characters]

error_message:
  LLM API error: Error code: 401 - {'error': {'message': "key not allowed to access model. This key can only access models=['openai/gpt-5.1']. Tried to access inclusionai/ling-2.6-flash:free", 'type': 'key_model_access_denied', 'param': 'model', 'code': '401'}}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.1
processing_time: 20.34
created_at: 2026-05-02 05:59:22.426582
updated_at: 2026-05-02 05:59:45.132213
qa_json_encrypted:
  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prompt_used:
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title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.1
processing_time: 23.09
created_at: 2026-05-02 06:01:59.668805
updated_at: 2026-05-02 06:02:23.335703
qa_json_encrypted:
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prompt_used:
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title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.1
processing_time: 16.62
created_at: 2026-05-02 06:31:28.294992
updated_at: 2026-05-02 06:31:47.525036
qa_json_encrypted:
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

prompt_used:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan teks PERSIS seperti aslinya (jangan parafrase).
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.1
processing_time: 20.36
created_at: 2026-05-02 06:39:37.308444
updated_at: 2026-05-02 06:39:59.865387
qa_json_encrypted:
  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R9Ic9arEwabuku5eHiAcNQjynXQ7_EsYbVCUfeNuDFNxJsYyOytyoCzbTktzWd8MwPLsLHQZtA00sm4VW1bBrHlpfrJXuUzPWCCQCur52ReiiLyF3ctjbvEe4V-j04HlSPzF2VVP660uMPRycMBSC_V7MZy8rUOfV-_pjXhZhNxGwPerV8Q31uhM5_8ceyG4ZiPLhcZwGwJAL2XWi_2ZeZNJXfnkR_dVG5ppjnKkg1B2OwU1Dpt5Bcm9W6oDDvVkpLRKoT6r0TVikfryeHRa3so36p14IHbp8d-O_ch-Ms1YPTFHLZCTzo_SryywjR0O--lFUK1rP78A8G_Tyy14DBQ6I7G-ivDT4yc6Tt8pbIOxSjg1C1eJJZSRqqdH1vq1ivUm7c1ZLjaPx0bT7RBIPFRwtCdwldQ5DrM_eGCvMkXo8a5ch4gGVsXYZVCwFMbmImifdSWfLSojdFxAKIDDOvJ5onwoukPCOEqmT-DsTdlOy5-ZGhgdsQ4CqjwbEiDS5FO2lsXdiv1iawRjRsY_JIr_SfMNAWYklsrpQQiAOH-4bLlZ9PMaXuRHiBS8Fz1hTcIcQyo0M0uF_lHuFibiSZc-9zO2xHRzOJWkq-CLzj3yUcu_BZ6WnSH6K8EBOpOfJGpy1iNkdHqV5HLQnKW32G89aZPsttAC7v37Js0OEWowGi0UPFfq8JDU0ohAH3hkVgMlt3AD5irk9ojeTR6P9wYJjCC8K80rFb7Drixy2h2L4W_oDaW7y5MYEShpEwDCqZ2s4R3XLBsu6Gu7nX4z_mmGBk-XW8oi04FzxSRM6icHVhAS1JQk06ZZL8T1UO5ALoF6nG-Cv4ZMb9mCtcTDlVAbdqfRmGEBqMpn86ymPzjr-wBVdr5EcaRl4t23-jF-MrdvV2UtA-2hNrLHFjAoJj2vSmRJbP9pwiv_YwxQEHblEnVFomdvtsU2mhMe5tMK0IPifwd11Jux6hTQhLnFQh3vcGvKoJhwPsHdS3yXXFhuiyeXxmTXxsczLlipy0OqxWWhGCRNgt9eLe5tVHTOB5nPQg6915aq_BnDfDn0WkuIi3tQnWOdZSqATbAi2z4rsKtBaEtC7d-KYhoO4ckfx-gmJluKAj-yhnhWpwsJDlTKDiD9I9JlGWHHdCMB_A58eciOq4SlRsjLK1YyVSiq4Mp3Aey5rBRryjZsC3nRuWt1-3STf_9RebD7sagbvwDvmFmRCQmxE_F6dyszwTRI0ZNM1Qw7m8FNq_8Cnsv_6yCv90yKIepdyklerDU9TlTJbwdDAr-fCX-eLNJZfXpLP2Bx6YzMFVLwwYNOne6-e8RdVKLA5oj6q-wbJlZhdoVdOqKH-zlT5aRGoPL-XqtWXQHIefDaVTU6g20LsZicRGgovREEgpXUMcfXHCFvyi5JLST2r1D2TfrEUK1Yw9tE4e_9VgTmgO4WGQiLOVPAemjAQSk0HXxOE7MRn8u3l9UNuO6ktY-v6CDEsLe_65AyVC4QryoefORYXNwfVUHnLbHgL0eD-wJnQ1nKOYcP0JeThJPc1Oqlm1HRTrkXF3L_Us1Opazg4JCJ3AtKfUSn_6pudeYRHZqyayda2W2OrQ6kchF4IDbEa-EWc3q0dvKTk9v5Sl5Tn25wByjmqE2lcxo0Vfv7LSZpd2K9qsgL11bZunyD0kpXRMniqLK8tU5TBstISsqOfrUdkiTk1Y5uRXndr5LBoUp1YGYaIkLHcRXIcvSVOT_xlQkdjFWIbwfHfz3AksMQJYklppxsNj4DRI6nXc0a6iiWoZHfA8cpaUPTk1VhaqP4GOLgY1wgjtexWioPePf2eFslR7s8XKGzkoBS3qflyoIqAaU3h7vHQ3qyUc4NNTU5ujbIOFE2G0Na4XelSb-4Jx-lE_Ou60nVbAGMHfhAxrXYA2C4ej6NC7G6F7o4asIKUqNqhwDgwa78_ixOJgFxh3osrrQhb2kIfPvjNSXAaWDb_yK5J-vMYrKSeTK9si_4apkbtv9MIGU160Ip7ej5i-SIK_tSfBFNx73JrjJAFiGCQiaSHXlA8zVv9Lmedvl75Cl_IQ2ZLooqoJtBIlagqPoFm8QJcgkNe0bVo1W0s_XFpPHnrfyt8QAUhFGbJDhJBu3b6QygnWjPrv875EYx76lGU3niCAPB4D82ysYzP2Gk1jfdxtfjewvVbLapp6v_XdG8dtP-xHrKFSYPFPFpT3AxQf7DLSl14bq_hXFDXA4RkV_t_wYuT4AahyjIfvz-n-dhoyokampwI9eJ3lTzlqvK7k-G9mv64w9uSbjpt_vbzzeO2WEA9_MvkR-5A4-U48wCd7yv4H4GAK_dHt2Q4zmVLm1NmfuX41x03N2uDEPiWxzrLQGezeZteUKv3OIYBMFNrCOsW6Cg_VaYN6zlWZekMpmiBTzvzqyniQAUzzh-BRd_u6tV3EZjpl-yYHK2aY2W_kwovUHH37IDq2eAnp25izKgPGQQe-A41HQzeu_I6QIfu3lq8NB6-6d9wRvNNtakxOYZZ3bdzMqQdbS_MpSM8eRJccimGZV8-meg1OoSOxLCsMoSkibL8_PhqRidTCIx5uDw_mSV1lvhK2clVuXEu-dOzONiagWDGMtQTuo7Fzvvl_6CWVraq0Uhogs69bQfC2-M84Z4eh9mc8zxUFZ-TyonXwDh-J_OkwXNIVwqVn0xbDD0pHizzPkbuGN1B9oPO1FmcT0y4OVirTKV4lMASxm7naBzb_01bSsC0CBGHWxLNJJc_FaUp7CMrTU4DHMgU_8OlU_SYXqLFUqAGijXZwAv-7Defs1n4NY6m2K0jsFoHOFk77yZIbsz_krRgf6LWOML_bWsOWww9YAhRjUftlhqvziny6JkAV72uf6DU72xArU1o2nDWQxnD3lsz6OrOjB-FqRdzGUkc0A0zuUaRRdjAWEYtWApPMnza_pkZ215nUftPmTLuAeZGsXk8cnV4p4mxXs-VCDbGmVKsl5AtiAowKUwiWHcpjq0-BwMut-jlEp5uGqNpZQdpjTDVR3iwgwI89AJ-P5Cr4QKBvjid03zMz_UrtBP1yFgbtubbyz_acuxsmGOTlIXGiuXxCqbeOCEcCQwy8Eedd8h2_f_YTppoBSB0x2kEgkaMOYKGN0dYgKkVY6TacMIfibZA19n4j_o_D_xWpTtYozHYqMe79FBcKeTS6RrM03INOkTJ4WZNgBp-5WYN9F2Lnl5ZSehOnoBgY8CQGQ-BXA1M-hLXEuIBoHjjomZA9VFBKfJO85qhTbyj0ehDrJnXsCk8Gsd15u7P5p2D_PFoQA4bzoU8JXROMyv0gd44pmqlmJa6B4Dv6mgmxb5_Nf-jEU0xkI5qMI16q1AvdRWC2e3yQOWJVx7l9kddmj2euPQukyBZ34hxt_-g99H3tivQAVyN9tN3V3PP7tA3da_2dA4J9F6m2lFJHQOhEdqSajGStr12rHh7zuePc52rvMXU93p1grBTtNb94Dh5nRwnuZNp5DIOZm-oWE1gkOZdQDs9Mp6fKFxHEK2l-T-EaPGMiNHHh8qANoy0WQEq6K4jpTvQoM4ysLXRMv2tNT3PGEk_bK6dgLGA_PQmn1SUyv3pSue0SDsMxA21HRNp31bZe1888yHhN-wi46JnVlIjxp3oRXh8Wn2Mt3JDNa3PWiJpnhvs8oPGdENHSCC60zCewDenLRktvZfeM81ma6G63T1sFWEjTQVOk_5kYD3vO0q4JIZUljmGKes8d29kIgbtwnmrk2c1zYpywAI-TsYokc70c7_iL86B-NqGQqx24h8etiwxT-ZuXyfSJY5MEjZb5p887-DdfDrVOSwK54WQ0ZThbPTpIwMpWmykH7KZ8G0F0SepTAEvpXDfe7iB4goyTzKdcUprerxMnf5J8-8cIuy7DLTnJI2Iw4i8V0Hq7kMd_4M5XYc4CRiwTtJUTLWkFXV8YCw6or-hXJkyH__n2CzHHk4Lc-qrkFKaprj665qoM8xGDoDLJvdfXX4-lBV4Csh_L3Hzs7NoTGKy1VnUKKdX8VoqfIBGJgcZ-T5x2MqaOfQT51ZeyLBUoyA2OibasYGFPVkWGoHoTZ0sLXijSSRqK-Ngr4a55jDiY66SnIYY48TrKUjjsKszCOibhd0-eHij4O6YnJTvWH7ZQOAN7Hm85qSv4MfelrtqDD1DXEb0ZO_z2L8tTOpUOb4bbNKTseuiqa1Vb9xscOUI0wfK-DuP6kDLENTTqZo68G0gj20lpGdnN8pi_VWpsTOAeg28qB7lNa2qSGUCcGYytXps-_KLesZccr5FVJ6g-YCETJ6i5NIHoEy7q70vaTXNykNm9WtXgYZPKNvtLBD-T4b7cAR_SBbpEq7hNfVJxF8HyL3WsKsTy1Uzw5Ep8GBvDlfhn_PRJFjvA46dY_Yh2cj7EYy6m0MMdVf18ARcgsP8Fh-L9HUSrUnpdTYXGe32FfquRE656bvsPr4bSsFW5iGAkBZJVNRteKKm4zWV14ILQrxGzmL63h2PYSwRkxBrnVgHs9gwYIKSFCofKpoF0q1QZvG7EuQGKfO7n8MXAHdeZxSEq7t1FzApeBUQg1Lu2PRsbXimopDH1oMvEvb3pxYsq___2fpST8DQwpMfImfNg8TxvbIqbIWAqksnWvAeUPKEgJ0s1ourWsUjm_UY7uLZe9TEctK-dfxm7jDkv76j0NHGkAG4VmBgV02WMargCTuqe5bZSfjdQCxk5Ra8xcD8JXj-NsnSTukngsjPvQQWHsQySHpfHjm476daNq-XuyV4jhINxLdmbd5114h_tMOmxK0FBcJTOxNrh9HDF787HvvN4ntJ0Igh10MNf1XCKFFVca4dIQIfqh8kWCSNPGZsEruTtYYh8lbkx-9ibQmdx2Ems-zsmbKSv4QNf3GP4NCijn-2XzLNz6V5dvLasGqmPPotLsD2oBVP3v1WpvtJpS_PmGKYLl1G3nrGTITfXOeQC7tYcg4kWlIGi8PRG2btqNzFxy_p2wJ11d4d4hO8cwIQUoE-hy4oG8IkMQDVE5QsqMvccXzQfkKynVqZA0_g_N-NoHwtKsVEHwgNF2n6HFl7iMeDX-vTnxZiIW1XygZWQldZq91XEsvPSJLTZhG6ock0ss0JoiM1SiINfulx5_FiszLxKLCTmuu13RsQF2H0ppQM6-ILfAxSsLqMoPfNl4L9AsnorlhYShaFNxEZHLamBj2Hp4tEmioRI_BSrA-kJdZNNQw4oQ_tA87rF0JRg3cwxXCFqsfoHJqw2lntPXsbhEKw4oE1t0KMwtyOb-VH3aUYJ04iBOqcmAuJIXKKn2PCkj25qqp2tdJCa2LfQek3alvSGYcvHGsIaUh5ttF1t5C4MePbmrdV0--dr7_gL7oVHR3yAp2f32oRutboZHGCzDFsiuEOXATUijkh5J2lPOtul0cA9U4JW7IF5UEhgornFtWrBpfCNKtS8TUAHpTyYqsyhQDy32pnv6aEks5_urV2zcinFix6IpnJZVDtvzBThonExGs0Gj4sCbtKZ8ifuKS-KB08ugz8U9VTLMlC9kFS_xvXuFNi_ohXAdnKBmuUz40XnEWms52pOX6pduNiRop5PQuscBPK9pTSmmSNAHGMWAjZ_K-7SvXwKNqCMLXNGXAH24PaqqACsk50qSCdoVLLgOAeYySxKGh-XZF1aWsKIsywoXMPdgI-4ShZlyVt4s41YKOoJZqoZV6NxA9kzjb82r7N_FYgeqp3cWZrOSOgWz5W2qgsJZ3kPTCulu80UXBK7Pgd4Z0Fa4znfEDmv4OSumCSxe7XGU5sXEUgOvwViVh0VxtX4rEY6kmvEFUr9KJlaXvu2MSCFmNpA90rSQMzzC59siS3XE5cyuj9TNGFAqDkqIqWjzWY1hmZbHFSmkCyLgl00-v2WrRX7qqSM-SHJVeFWyzO19Mn_buiqnDKZfijPGTAYPFao4IKme4DVsLCDXwS0glAiAdevUWSbRlXk3gKYBRLvclu2qs_46y9lGQd_G4Xoy5uv91R6W4H7-Fctqy3_Luc9tvlW-QGYFE8dkXHilL8JXpPGVH1FbeKwO2MFXrR2GNf5KD02hUYHaEYRD24JAsVzErZeUwVnGNEaiHNTGvaC0_VyNrVE_tLFkigEQJdUL9nTo9NQzRr3X-DQaIx_5HyyZ3uw0PMd_AeNi3gvnpTzjnyGT4dO1FrwDOEkrwwK9H-ZhhnMCHqt8MYaGYTxO4OTkHjSmbSN_tpg2djxUumZ4gVHoGeQJoTX-nE3RBcMW46LMEXcp6YPxx2lDh0DYu7Zvl_J2SAd9DdAjwM-lVZO_9zszYYp_OB3G0MbdOUKBvWNUMC8rAqODogXrjK-ljnzKxNZDBTIYFw5ZSMuKT4h0rHUBJFg-_Nekpz-ZUVy-2KeFcO5PBl0naRJcH-QTBvctqYu33jlscDOdFnAL-5t_9lBKPDhjDzFLe88U449uYY3kqWQF-tQcLyTfLKtnAp5KTnNj_1HZc_1YEZo7Yq_WM3aVyNksZv8YiQSQ9bEgX2LZL8uuM-YNa-g3gGj840PzAWcarRAAs5fwU5ZbhrIRL2cr4HSaOqRASPS3vSOIb5KW3tCgim60zWbMjel0zXT5AnHXGZ2MEUF1JxLbaZkn1KbF_yq32_gPIvvX1OZH8BEpxmrgwQ7kO1FyD9H3Re0QfmL-ZfiW71td_biijwxwIdlIkPEaOl7dMKRHIt3KfZo-G_3BZY-dhSTUw-Q4ecQy3bHHTSqk7XOrPirUiwm5xOcgBfhQLq-gQDzCm5Al32dWDMSjgrbz3vyidsiwBM-1tz-38NG7lkqP47w8o3XpzWvgzyZ_cVwnlVH5zJ3doyajI0RZPzfh_Jr_vlhZitIm2r5z5vxJJy0v31DFvoQLpao6ncW06b18crTkBVQZS76sFr3SPFeoeQsm78azo9lSdh6WC0Pf8c_d9mqlfyJ4cqvAlMiZ500Jpx1boBB5MdwuMsg-y0amgE-g9PtvcE_nTP8hkNRv6SW-ezbByVGatG4lL4z0lejQR8KfMrSwPDuFFDu_6wjLDahdD8A_c7j0S1t5IvPL4224ntSQ1TZXZJsBk-NdgAqsT0o5-pTtQo7Z95pzeUH1F0p6Fbz3a9bZoiKP2T9D9c5HA3r-Qrr-uNdZVyQ-XoYBoSqPDw0xyF4EnaWiRTHlC5eQZU3q-XEeQd6UlNTcp3OfgOfyzM57Kk9fInnur2TORVDKYntbjE5VeiPwo0BaNevnayLJr40vfeCemAN2Hadc2iR9BDDYWHUXS8V4j5_1TAMzTg0j8u1sG9u44MhYCPZiEyMYFmGg8nM0HqYxChjkJ1gnaHP44YRCa6G_s1NZPqLSf65tQUCgtbEHPKXhZEAXVR-3HRB-YdNyaJDWIguYZ06wGIKTxv4uZ_2Jce4chI1tufGo31nYGe5QdQbqCDbo_CKpQCTV4nq1uoj17AK-EApavx9p0yTWLcxRLkTeO2FjtT51h5ScX3JJVJJJuQEZHdo67AWqH95vxbJ0O2oyxQmedfeaoqyLu064FKYLOGaadCmHC8Bq4y4298W-2cgH1jesR1xbEwZeCfFVFDzxVDpY0EH6Ruwou6sebIyUSuih2C5p8R9G1Ku1n4wYY7roTdoJDSjDs_KP_Dw1SKSRPdipIEp2Co7jnWi64AnbK5-MT0E6YrXQqiY2iCP32lxgqRcMFu-uSOfoaHWrHFbmpqzq36O0xMdboSy7uJ8hb7qRtHPv-d4ymdysFW3Jj0YTq02UksuRMRInE9E3UtE9yoZdeM_SpR-ndFpyIsY_CiL-wrXyPU3zuU1pr-Pe2zwmAEn4rz1-40LJ_SMfy8R6NS_8zSy0X7ueGix65SooZL0wOTLzj13D_E3_7fJ_xL1Kn_E-7GL6B0bD2cEJnUfdC1TuO7jK8hi1rGDKTMz7Zlh9A_lngV72VEVoNvtSOV0gw9e1KXH1WGvXYBMaRlm3ZQVLxuvsURV_taV0HBFg7bJ4VTzo_n14qflnNdqkhS0qYBDsyh3GJsnay6H_hh5hQuxLklsxVTpGz5acaPUIYmYcYUDvNVR12dP_6vn3LofrKaI93OJFWA9ShSSBew2Kx5_jI7gvWmtaXHHTJ0lX2D9y6sS95PuraHPLyrE-ME5c3KPyK10ElHaZBkyF-w4mEEyKQh0Q0_BVk14gFrIKvZPguYaXP0VdUn47JbvMyFljwE1lr_Kk3jsAZkUTrSU5BRlxrHsGD4MB2nc_d3X7whvtyzayWbo4gKz4GYoSQrAAh7f6dYqESOBu4ZkSvZjyVFOnYNF_tTiFNgRC955VXnrbFYMGL8sKjVF_nP2jMC8NKDEj-a1H7fsa-P0sPElLltU0Cvth_p1OE5NLR-N7LLzb2f1GeGUXObsA5CbXodWdoWL_s21nUrbfHDnCalMyvoSwtPVAc0jme0pjfUIiPAQMoNn2mK5cctSn0co8mzLHgxjLqPRhgN4SZTpJXytJeTDU2cjmM8-x78npF6aQpbXa6olL0ncyY0IGiLpl3b295CLKVikJvyCc5yuV0LGNHPyJEqnf1k-Cm0Xu9_Mfx6t_HBFfs5KqkyBRvFwRsjKQctHUp7pJ34mAD0XYfZAR_vKFoL7P4WCZSFxLdu0AwbuRf8IwH3jPV8jHOBu8GXTicjBznrRcfrz_FWtXoluohJ-L4znqoD_pE0cKzkPzG-WAjuf3n7p_9qq17Ol3L-QGjuEb0RGV2KP2gKhpR_QTbjj47teguYfkJHcRNf5XQK99pR4_s_N6nvm_oAteu6Gh01r_7TZ_Yd6UCEU2F-87g5vKEzLq8uc9MmqEjT4pvLzxFh_kmTJugCFBL1YjMiqrC4_B3MjuQYkA6-qeT29AWVNON-NMItGU2QIFC1Pgo8854pqs1uDnWend9iJmAW7MpAhe4u57dIQzewc8VyhDKzIxfLuJqgpYRoU6qofjd9AGx3H_vgCaF1BOFDz2ffB4v7fCgiKdtscjXC-w7gg1CtgkdsBODtbdjaUopWpvllVzjncvdQXMuy4lz9hVr6YanAxLM_BkLlVDG0W7H7dsl7fAeh85NuBeBiRH4ZrgqC2D66RlS5avoXSx-9flL6Ad025l-nLu9P9YJqHwXR_u2x013kAVtkQvQnWI2GSZeaCQMykh6lb0gwH14VfQDUhX2D6pNxT3qWGbscnArdIIyfwceD0Ye8DvTVB6L_i15OeuD5TrU72eYDl9ew_7KyoPlAHYbMNPfwCLW-zTgw9JELxCSSZj-nfuKt7a1rf_mN6cHV9mY1qR-pDWTRAdocfkGmYkY_OSgG4w2AdwOPUHBIj84SMjShxojIXmjHOT-dqKEV4S7jaKT_PGUDR9PJISMS4wsaR25jPEdmdqziUekk1zQcaKmhs7acODuXxud25fZwllJ3kXUKSVUQlWzc3Ml8r_HiCSiVk3SwgRe4mdQsgLFHqqcyFSEvTFdnmvY5wbEmcZgGBIE7LIVIAyk-xMJg_S8MGyXB-TJFHTbX2ToM7lZZ1O6L_W3Khqbd86Yr0rXWvBqJK3ZutYGwBbkQuLWm6Te2KGHGiUa3rAesTDtMY2_qccYygeVErID_dhH7cu5qwx4kOpofo8VMAMqRAEr4CejjfSYwOg-kF3hQz1Kub73rRm7DEgFkVCCiTeUWINuD51M7zWX3Ji3y4KELV3YZMdlw0P_RTZ0nAoOgkUWo3ZBa3kIjN_PYRuJ1GFG6CdMU-N9fy7B_tZztkt6UFivqWN5ILEZgkyDwqBMDtHsDJwgCgih3lxkznec5-6_jYrSYeOZPUuzpmQdaAzSGfyusEY0WErSGaWU2E1kHOpMXriLoZqISlNBCO_KPxN0hnkBZDm0aJZZTgn_5HSCp2HQlNERuH_nk0YDdjRbCU3Ct6efWWoGI1Edn6hP90TFCEnmO69i_O2XAp6KWgD9XoyMhANMc2Dy8Wwh34F7anNqcOk3slwRpIudshEXFNC6h8d_kgKYmONKBqAhHBGIXOknXR26orzj4kwhdsoPTPMxhwgN6tR5Fh1YrBzBELpSgdmo97O647cPtDgYwAR117ha-G0GS0gBNd16c_lYmFefUcTLEWEoR8c_b0XECBnKKg2TBeULM8NPlZT3d208DgPAMjjIFlg5Z_3iaXYngmgKT_fve30n2HK1OwtF-rK-7yWr5YlAGHXUCG6yxzrIHHQrANF_wax9QNy_wZyw0WzasxoHjM1wSr9ZzqPyMVrTKh7otNNpkFt0ub8jnS8WDjX2PZkUdCkBQhf1DHCK0_kweSvH9KxroWIljiBPQSm6NEL3vonozm0LhEt6xfqYKd6Lmt94SqBP2V1tb2zfOjQ7QiBnOT-qBLJiYlQwVucyV5czHQq9wlR7jg61q_py8qyFOalEiNmHyG1DcZTasfnHncFY-PPv_8jh8Q_5xSP4LxTG3Ma-lC30c7eyppJlA4nGVW-jJHTRtWtTpbNgpf6c53sbrn6Na1Ln0_6jAE45arTfFB2LQUE-wcDehFhhHBSiSCUpVFlGUhR9_aLXzN1FtmIwHaDO6FB03cJZB4DtQCGFo4fkkAHVeeN70ZRN81Z3uBoeRAj2fkKKy0BVbos6L-2k3rUz8iXtlOTjYcKydqayWkKvxZtW6pqwtBQUi7xl0HGYvQCOF_hUY5lwP0P3kzAODyb_Y9pXKbV1mnWuKDkFu7ly6Pi6lNWDzxq35fnbgFHLdQ8k_rV2PnZt6XVePgOvRpaRucHVG1brAJkRGCryKcx_roK2ggpsWeCFShj9ob2iDWoeer9-S9B5awoNmY6prb8TYN0sVW6lELetgsDUBwO6P92VOGK3a1pJ8Z2C9658ZtNuBYaYBsHmGULzAAC9fTSbAvMbC-LcQMtzEUwaCTMRzgsR98LafDysJt6OEEWHx4SMBClucQCIR5_-b16NFJ-hW9TCdA4oejChA6WbnzNmc0vx8tv9folobSK35yZt0dnTebW7DrTeza6wUgkEKBdKGzP7qCTiDa5W8DNgR-PcPd7gkKrBTrY5uPagmf24ewCup-NheyswQANyaRrZfmviKmfJ4pGiTRC_9T8f23Hc1OqBXMK4Kpx-LSgDFN5QEDT_RJ2DFoQoHohGG06K6KmuV9a-8jAlaxdACX01OMu4gCVZwragTM05euxVAOrGFXPqH_yRhHGW57ddd8JhWVI-eH0aUvWDmy0LGst2V0Skn2s4W_ZS9JrPkcg3GOAjftdf7YxboEezPkK5p9jF7X2Z7_oUuATvh_KtKpouxvuWaZFEebBnfTmO8UI2iJU5m1fQfGw9DT1HDdeWsVpVnH57DPQOSBueSrlvzsSdLppGoO7Vo6nPXqRYWw7ReJaHDzpmKU5Q9X7mTxhwDpar-c0WDcYJSTthgzj2ImgCubV03EcfQWV2Ylnrlm83l4h9xWiD4yb2QIX_AtTiD6nPtUuYvElRmQcPwTsQlDA3KjDHNVvIhVTlwsUExPZfp85R5Vtpj6Tw703WW-4YRUZkR8-8zN9N36aLUzrv7fHH4R4fkQk0V1dUU8nSy8uVzT9pZIEtOqqucfiIsaE7tn9FA8jL7ZTCOqkInKBJtCzLd6PNY7CF3NqLS4pTWjF6DicNDB4kjefq_ofhS-bRXArVg3A4isZJ0uaDwAGLQScKM4kWbih-9oEOMPA6AwCcmgDFVpPZrcwuqVhygqKexP4z1KuHsiYUbK-SGckabillVK6NaSNOwjnnbqaPiQAksvecI8NNctoZEn85pyzorvYPpLh4g9QbvyinXnEKtOG_nXDXRgqTiWAxupwh-tC5dp3lp6h1hTQeapSBcllmw4JycsWOnd_JsvK96WvmCZFFce5N9Hm1Cf53b4rDpcPt8bnKdtdO2UBO-3xYz-eejG0gydH22-KrrXXpsV6tHrHWpWCVPYFOgJPrAyh1BeOIEfVcqByHjQ-FClJXbr7iy2a0v6g_uPVzEkBlGgPv4R4NwdCeAvVRG6VC4au5rk8JgaOMwigLrIS_4gA1djsH2CKCQndDrfA0r8lC8Ay-xCfMPtoCvigmsrGsPh5xioRpjUCt7ADMa68Qop5SAIs6GqIXbglCmSvIdzSpeokJAMyPFKITKCN0s_3HeEg_4HmDk2hRZJrEJcUohiqbrrihfn-ZxG_U2YWWT6lcN2R-RshMrrHT9xAIHXMVfgrNziTrZ2HUOs-6cr1m_jl0V7M3NSJ5aSI_LFe3ynDk0u__8wYO3NfEH5dEgVTg6seFAzkPIL6owpigPucOzQXn7w_PmaeXmYh_uLSVIlHltOpX3TWuO9qUv1cg0xV8dw5DMXwz78Zt_D4N1jl73wcfC6Zyir1XVY9YrkggEfChvSFp1aWm4RcEdTQag0sL5R0ecgMBF3qVjd1CDJpPCmxzstXvgkxSn84KJLFmJHYhEdXKy-EX5EnQpPv1n5aEdvIffSORRUmIDFXgYmT5c2Zd2_HadTadcCldy1ttJFdKmzRXKsY5eXaqiEawAvMjixDzpdXDp5t9J_Ddmzh6iVT9-6rMKBaut7YH3q0xmQdfHkjjsyQFDuOj4TST3k7mexbC-f-xD1UGb7x5T9mwhCFs6zBWQA9W_58BXMOISQgyzFLdXTV3okIN9o7TIBlntk_-mKpwITy75eO8wox6Sk8PGlv4CZSg4kQNf8m9k2euDZjItTfNhopsQrNOrfDUQJfCaO3Z-b07yCOwu6Eto4Qcjm4__0NNZ8xznfTObL_mHN-yMaNuiZr1ITNqgsOZo2cE1oW77CeCJkoukubfcAUXlKkxv_kKXtAtFzRFX6KXo6IsbInueu8Ee-sO8dvDBBKw_xXoa6IxRL0NPmAwoA9oheFs7jkGzhmcSq3-UM3OXUDXun43QQGOVjVbYLftIc90wlaruAoTlH6Pan3Ktq1W-bTon3m7D_N_Xu9Ns5mV1oh0j4TkITmedvGp-E44nr2V6Z6YSR-Cu_IIho9kQ6Hd0E520K3ShXqDBzrGb2UkDIvVY3l39A-YACBGv_9liak6nXMvyWV4ngpZtpVIjpbyOwegmOD8AoluWWZPjfA6AYQpyRCT-k-VgpPPUjcaxnCHMyVysXJPV3_7lK1vq5Agcxos0KwCcqcf1O0Hkuh-XQ2ajJq1WwLIbaW7rsbwfJz-X8s73ud-XWFuTA2B

prompt_used:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan pertanyaan dan jawaban PERSIS seperti aslinya (jangan parafrase).
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.1
processing_time: 27.03
created_at: 2026-05-02 06:46:27.479629
updated_at: 2026-05-02 06:46:55.107292
qa_json_encrypted:
  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

prompt_used:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan pertanyaan dan jawaban PERSIS seperti aslinya (jangan parafrase).
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: failed
model_used: gpt-4o-mini
created_at: 2026-05-02 06:52:44.650572
updated_at: 2026-05-02 06:52:49.190877
prompt_used:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan pertanyaan dan jawaban PERSIS seperti aslinya (jangan parafrase).
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}

error_message:
  LLM API error: Error code: 404 - {'error': {'message': 'litellm.NotFoundError: Vertex_aiException - [{\n  "error": {\n    "code": 404,\n    "message": "Requested entity was not found.",\n    "status": "NOT_FOUND"\n  }\n}\n]. Received Model Group=vertex_ai/deepseek-ai/deepseek-v3.1-maas\nAvailable Model Group Fallb


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-4o
processing_time: 22.33
created_at: 2026-05-02 06:56:22.143812
updated_at: 2026-05-02 06:56:46.966401
qa_json_encrypted:
  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TY2frNeecpcrRSORxg6IGCcNSe_S8GOwWLOHXA_BRiJgGr3a0Lum6NE2MuXQ-UGx1Y5wQGG_HiedRoEPW2ds5oTBrqvH_CHdi7dM_zaaKNaoSZlBGrLaZUC3i4R6S7it_qQJEdtHayEa0_Lek2_cMekQZEoFSrfOioXANncDiDZLVP5RtsBChTwxqXQK9WGYx2b3Ch-wmTob1YZNrIigx6duTDl-XzXprbABPfF38nou2trmFJkZJ35a_rk3gq4Jbp6yE7r82bDL71y-Mz_ZEHFu6Ao4rPOSk8_ZIxGNQqFLyi0948tqtfIfACx7owJFwMWOhcnuRlQZ4_XCO2LMmyQaPQFU3-ZbPN3cKvLB77eSvLc_qOIHL92VdYXLqrCLz1opxKa5GQyc8VRrrJtx7QARm0dB0qn0k7ZjUPPEFUhLvlUBoGxnKVpsT57QXvYU37zf1mQyg2QlbO_iSZ743RwT7abc1wNM1X-JXGtDJFFee9l_gkI63ai6RIhogQUocXTQXgCGPKWgKy7R2K2xSdVT2jUvJRkpjGtlREhSCd1xeVqLaNSv85sQL3i0VVq0Gh3i5-RUNsRknkTvkKSeLNF2o_qNqu-qfivC821SNW1i6N0IkxR1NgX_TBAXg7vbTEor8yj-F2dQ3HgG0BRjCU8NyicjhYTmJcbI9oDA9MIb2TdjRREYz1fahC2_qCOCWCWdwz1w2P4y39TD6zHhKWX_dgGLa_x7uEex54BQXSKS-j-TOIAwyXx5m5McGktXxhkZxAUB0Ixe3Q2QbfyrZGeptBe3a7ATnj-b_oHBPBqqUcLIXmxMSw9V1BiACw2v0tIzFnDc_LOZE5jwHxu0oxQ7jrE4MjJMIQVc7_1pXF56UqqREn2qVCv4bKVa3HCmnrdqIgp90TRnBnwcecHIGw0-CuCAIwRXooSG0hfrVhuLWKmJGQYPGamf8riMi2zuCXLGxQendKKlHEqGlnQkPlpJHjCVU2jLMILjW__cSOCFz_VZxbRBLYdGgx-_M5pMl97wKGlxO43r7Cq1qCRfGrI0uSSRePjx4Cd35XfmX7lMoh06Uk6Tbm2h1MKyAyOWG--lhVpbZHqbRebfLWsuFZCnCksFIc_MOevdhLF9qCV4f2NcZFQYV3upXXCIQ_NUNuPhBnq0pgEh9fHxPiFL54wzD5seREHPv0WPFh4f71ckmWatSljKl7TP5u7_567PtqReA1avaNisEZEjjJfmHK_RlrfmtyBuf-zP88NSZkZQPWPdgRM1FoNwh8Kn-0rSAyK_SMiJqlRiwpRS2RwaAmdTH2DfoPygL013FYqHeB3AJzRpviF1uaLWoGdMTK7SD4q032fI5iJ5161OGzyA88p_jFhSAQjt796e99gOWUrFgZ8_jxLqjnLpIy-gU4MMtyRHCTot3qnRdkcn4VvYh-cujgy6fbPCazdddfMvO5uoVe2G9t4EocwdNWPxeqyJ9Bbz3V1Qw6Fbk2Cn56i5Bg6J1K-IDoikJaorNw2IW75PxPvXs6qAib3rUGka3ExShLyynNyrkQ-fZQJ2ll3Lzf2Bko9S9HtjTs50kJKIAjlxPeBvOy2tQIT4krtGIeon0BL506WWdacgPmPVvZAJgb7hUZIRMEykRm5Oh88zUQwKnF2yGfvnaTPCobkIolXwI1vWeZs-2McQ2eCjGhf1JktagLwG-1H7548a1UpdrI3v3aLXi-TbmoKLqf93Z7QKFmLdYfFqUlHduUlO6kljtsVl3RDFFPsc56v8hQt3k9f6dZ8ZgYa-k9kwuki7ANWB7d4LKkTCtOyeNDEKnioIr1tFErLzJrHjk1WMELdmvAw8z4MRRA1yzObWgJE5V0NVxYX7znDHg3iZj1av0R-ovloEiuvkhJPoAHC0vtwJEdHDVhXwstCb-d76pgFRQCgLHuGu8NEPFG1gzEAPZCUhiRUBZjSfXZ-buV0kieAzl5VwgM7R-4T6J3IObMSWmxA-hmDoUpdspOCsPjdB5wln_QFWkRE4HaZgVtI4wh0zpzumL09JkDcKoHekDUtXdtXzZVlMwKYIxIJmhBeq4dtF8byQQx_fo29eJAAmrHK6PvmKgYJYtxU3AhCxiQH7ObORLdipDxlyRQr38vSvWL1GnYEN0HSRMOeXPmwD6rKBoilQ-MiNmJ9rTzD50e-6OmiKMZwoOQ_BKsnTtzxDABo8-gEhM45WbUuPiEEkujGmx1_nXrK36FJrdYXt2HG_zzj4KfNVSwbn3YU58kraRSSGo6rwwCyAsFNIdVB-8wpASs_dCsCYcF-P61Ilg-r4tdiYtueq5ohAOn7C08U0NZTiqy7kDRZe45vMyevsXQicXK2-EfdEApWRecxq4m1JbAG6iTdMf3-ng2X10q840bPU5FVTe5pGEsfSYNHj_xYxxURPNnhKS9crRxyvcMK4VSdwIqTQFaYocZ05TW_akIihYdHQ256P6OkS8Dxjty5v9vSYBK7AAx2ED5s0snY9LCjEcGkuMDgUXq1o5inobHLRVBD82EEzJWRb2gK_ZOqFzhzOb9maw9FNU1l3ryhvgrr5VesMehMCWtORPl6g5s76yI1IjG8cWcqtbaotszb-cNWIH7FdczIzN_oAvOMEdZrHxpyrM0UUekfMIgR3EA0Jz9-Mtec1DgPjaTn2ZUQDxAwGN7lSabdynWGHh6fddL2UsOX0prsKRmdPRkiOQlzvYEofyCFJdPut9KEsWI24vcUv_MKV22yTQVQGqFNuEx4UmuyLqlp8C5t13qs-1HZWTqRM8M9Nt9nIp4G165eCmGNKCWITUsLJnEcrAg6Ie_K6r1eQF55E-Q-gprvZc7A7UvQnyP3pIwWWGs_7PZogwylo0yh98WiN1egNA7badvsLoDlFslD7smm9ohS8hnPfkfJqVcjTI8P9RHHOvLT0Ymn7ZnBY3SHBN9Z0PSSldrCLwXa71_efRDG7gJg73U9yCdBIagihM8xAKAWWWRBSCg7nBsGG7-EWg8AcMsvw6fFkxHn-LkFLv61JA1p4x4wVQfMmmdIdME_KWjp90nevjJthkKPu6KKyEau8sLmenl_LltBcQYOt42nCZohYXkJ3oN6A7hVMXgHZYh0-cTyoQKbARXqTalyXhuAvWvGdkj5y0jaIFFrx6UK6F_0FLHmWg3cPScHQI9t0lz9G-CCj4Llw7eANkCzWeFWA--IEp6KmGamTYF1IKkJEfwIysgdtqvUa-N000Ha6P3BJh7Jm3-ooYx5zN0qDp_UnuF8jMDNfvazzO1b4xRNx6VZU9-IPzMpmMteQ8FP8N4mlNo-zG7KOeQTtuIcCqB7AJcyoTUTAsBLeIqLN4MT_mqQyDtL9pnM9B3gPC7xuLcF54mEUCg4S67D6YMaynzpdCqgzG1a2lKX-zlv4H0WBUPvJdJexPOGDmRLvmaXCIEYPtkhf6pZbxONaLvpooo55hVtlWklkcjlFbCV0G4EPkhOQEltnmVJ2VAc5vNnsPv19nTONwZOS4tomcvfQ0PUMpCboP2TXEJIBW6ULwJ-Sj9kKE7MCPYJiIVEvm-Kn5mB1cz20kZrvvEDFwr91EqPynlcCmyy0Nd9hKLn590ELkUohBpuZOfwKP7Bfm2Sul_hr_ah-wLHXVmf1CzGYkynGo4JtjNCcLO3T1abJslj1ZWCjFClK9H5HPImaejd746XNj-E52OAOvlkIef4Q9lboyfqk97uB4jwpOXqJTV6eLd_tAfGpeRHzCRVzXV0GeZYFkaZ35hAYJMTdH2qX-yzAsKtAIsEv6Wr5PHwrnKIk_3YgyRTscthiWkdDmITll0Z4ZsPJ2dVq2V6oz2Zwp9bnpNPsPSH9fWQNJutGJ2vJ9DsuodXdxCkgRk1KzHSqY5Dzo1c87A3wXatfXEGjo5GKAMmhv6UYDsdqxi725gT5YKeVKjc98fbVBtb8VfRUbyZfEKaoPKSnxbPpTDllkTKh14r9ORd8yP3Uz5or1qLIN30Ovao8kHiNu3G_CyyWT8z_029FLoSmK2zyto-hY9xCUNf6I0S-zv7vsboyauh16J_21WeYOAOBhocAG_fS1629rFGvN7lxNsgiRBO7QspPGi98msOo9bNm9CcJJbtiXVHScCsvComU1_vm3iGVMuss8bsOyP7m43bmDBO0sYJzdNZibHAH5hmLEqZFxEMU653GBl9PORClYC0Epp-lgUCYuPJ_K7ScNNsAKsdLdc4-wDybE22C_I_7fCVyAkN1QVNYHDRYC2CvL68WU7KgPpkjnFShkkLbJH4TSobi5Oz45bfkLCplDLzpTaoPJ29kuvFedGiAYdWGrfrvOA6Iq6rBaAJ4iQ0yMjtUcpcDfIJ8BboXd13Bba327WodXg5r9BcscG4yS56CWYTtpKUMcwJMljES49GNLq3K4lHh9Pvk9e6YifaeJCZnXKeUz_dUVOWFX1LJ8DrXWGRwFvfvJby4VVU7P12mmOME1OLm6GuKOS1G8vB2yCtzE4iarLEDw9Qi44DGQmLemoYji6FtSPmdbQCOx9MiS4_fow_Map5plzWBZwOeh828TMIVYoalcKKJqKrOYshAZyNbcMDmxayIoe3szpidfhnZCq1Dm3wTqLQK9Gd8AbTYsmdCbqaKJvh8V-0Ja9IYEzR7Rzs-YsO7vG3S5HIUnbfEHD_vNcNheMUoZmQsXS2SjbiTiYNYTNy8xxiY_j7fXoCm4MRKBeJ6Ypr5gurCRFdMZRfA5omr5YMMtEq8xSfGMVjWpn3ZTSpbRC3YgBZohcI20QrWiQUZdj7PXL4FpnDxun2iiQrMbSxHQuQdSDSUtRkxApDbORHmEtVDQzL4VbZKIFvNlvHZbFpuHDkz2dEUnMOsl88ZIZ82vZZFlJy8d_6Ma-UvIPa2qChlgUR4BKYaBuAxrpJwfrzICqo3iIgfNoElPjLsXlnYCgyiNL3ifwsux6CA8W0VYs_TUJaXIusl4oaXLXzryfarekqBiHU4d-A9QrwmEThRUjAJ9-Dw5PFnbNc8ifL1hmjcyFdtniEpNAfiaEIRvs-MIIo0gjsD-hlTA4-WQiDb8wRCAQgJYgFDepdB_MNuwWUvrvIiDh4PR5XJw6V0moT24uRzStdgk8w65AVZFRWqCMvE0r17a7XO4IRsKkp0MpC7rEXRKzDWUQmbmYBNT47FQiqV5Qa1UP3uaGMNKolJVlsfvoEU4F8op4Xz1VoJP0t6E7EBjhr6vS8g3q0jr4DCzAkidn1Ki4NLd3Ewe6iG1plbf2ndMgexHnvJLdQ8h_s_h2fOxKnXBbDswkqRFl6w5Y_qx_571UTos4YZC71eL8rlIa2Qthtol_ipQv2KrMu3OQMD_jON-kXDMp1pTt2_gz7LUXxb_x11QOw5O2heVGsSFfZbw46zIEmaf_5mAwDq3uTN-bIix_2PaGzFxw66aWZmQ8LxTECjG30MgDaQlTPWs9O8VF6Z9cX_HAHoSM4ePbEEVpIwMYPpTH5RsL9nt4f4u6SPAfZWxdxw2mldpbe84XrHeJF2P--nd493-yLMUGpRcFP_Zf5lUD42lT7nNJnKrE_1NK8RdJ1AEG28uiWfhal8nr7jb4mPQPbCRNNo3OSvr--mOJLdNNe1oVvOE6cdGLQ8hZUaPnWJCnuXPmdGdQe7TWwi-y8E-SY8Bu8KZcGRNNuGiI3_7-0KcOIxwGNt5A7f1EH-2UvyUDYXhawfUPv5U3ikY2cjNZ45lIsi8JHdsL7HVqEGW156xeeSTTFbmzTjWwWWNXl5hXfxqZlXcsbClcF6c5uAPd8DJhz8IieyYk5X8WF8h072v99-iho7q4HoiTLUEOWgcmjBOBx7LeFeHVLME5B1LtDw_VU3osLnIJlBIWC1J4eRn6iaAmDzpetwGGZA4k3I2U40eCxI2EAQRmDjII0Slf2pqfYbMBmnCiSgBW8yiKanDEtvkpn8Q4jNBHbMNmN3M0JRTg7W-jpEvH44LAtD9quwDrfF66lsBrUKSfAgvevMe7tCHJ0Q_VCLar1nkRwD7u75zejZndNxg6Uba2i_Dheispu0S0pm8BPAFS6AQtVZHTqGwrlvGggapz9qKVKED28jeL_L57uzbcERaHwQ8t0QT8yXCwKicfaqVNF6STLhVnX2fVDTrj2Zs7QDJqf1fqOHbByxtigm5UUZBZPNmmqv6Vmn6VvP3WbC-VZ68tVYX-6avJuTOUGlUbw7sa5A1h8KaD1hezeKpiuMVh6k0d645cyG9qr_Ofmza3pVIEZ3OsT74QOx38bweaE9pxY__kfzjv2AjBHQ5bqo7f3fj5f_ZGjB9mBJ9EK0Vp3fiQeHMd-HUrKaPlQRwiT1dL6VEBRMM5Opi4v1r9VIJABbl8XvwWzhTK9otml6wdA6VuIlbGmTxhgxRMQoS18xUDRDqPRDya-tOWT1k43lNd-7tgNgrJarC5xDzPxs2nlHKTMiRyxun5Jo6tbbQqCLTKcZYzb4F1AaEhIXu_POLhLXHEYFtfvCNIX4yZ3hT2KRYX9ooCSL1CueQurcH_xAtqwlpfBDRadqE3IPVnQuK_a8jpIs8zno70gxREnF33umoP_MFS04bi0DvjtNbCDn74CUkUg_Z-nEWQK_eh6Drxh3B9TFhSKTOnwiSS-WOJi8VyjhR179nlCOGSUTdivXfkRDMpBQbEE2Z9ygyOOfE-t7eDxufHG3Axav5oh2kxb9SnDJxhCCoJWxUqb8qQFI01KfWCyDZnK-DKGCbc2zKktdfz0Z3xoPMxcso8A_cfs3_iB9dQEi8ncbjCSh8_PIvQzidy9m8F9MwjRYWlp6KJdjbP39b6uKdFtxO0rOh0PEDqT1g0f1oLhLM9AM756DNH-Oumx4KQB1ECuaK1jPE1yKtTzzosq1CYecnnE-DnqXPg2WM4tkyqKzV8x4YpbXAjGwSfr6LfsmYxenXgQbjxpX7Hn_JM0nVxMe-4bZm-xgS164C1i_7hLe5HfAbeVmM23uzLGfBgIgQvzFTb2kbPGpkVr6sOPRLosWrGs50KixtgtoNuwcM4e8Nd1vxjdz-xFqOsxcxZAW-fes7qZ4l1ONGDRKxuFmeMiGlqOq_s-Rhxt2zxiNrckuif_Z4e4mduG0lRjCdwknjUsZ9e4C6PyOuVD9rBl94Tk8WemeDn6tUhIfheuAI2gG0q-RG5GafhvkHXZx6kJoU9wzVYq-1t5wctaCAdDJYkUDln8th2cyQnnhE3g3OgeTLDPNF4OUn2Yx6UWokrrBb2HnUrPWzriBW7IEIOnqAKXDesDX-unPwHnLe506oWYnGZ2PwdbchVq43ft_FzNcYVobc6AHR0F_fxFpmM45DzoDliDO_CNSRpndpj6PsppsOBuZgtzlgOqIfj9vPIUs-jpCkZzjRhQETkulMSwfZ7xgbUgtaIQBLq9oO74Ria_BoRs0HT5c5XUk-NRbxfym0WeAxIQP4GwTpEKDWz-z0fb8-o32qls_-kgsK-bvEhfRTGuFfWDlc3F9qoAANc3Rgtu2DjPy-1jL0mn6oqJ9oMl5m1zGwQHZRB6oVu0BAQtubj7ELZ1xCZAylxWD_Aj8on-XxfNQ7evms1JQXTGrvX9Bk-iGR4ZxaC1vxlaJA9r_GGeW492tRN9G0rxocNOFG_Cb9ox0eH83OKnGbO5TADmAmibMX6d9zGCGwYl0pwzxHTGiEoBmX3jHsTKMLC5Lu_jsXY6OHlUDRwgwJSyqeKXKXaeJOf31enfsVqlvJ2vytNBkZ1QfXEJboPz3WHlq-McY7cWsoQbzhYo3aBeOgv8Shb4GlcsrTSf-D4DKZ096mxUtjDl-NAWRjbTkT5O71_nHlj4x8w6Zwig6xBlPi1yJqVHeKH89Ldeh5h-0Xl78WUT8lTfJlHsizWEmLiF6rteOBKp4Lo9zz-iO_laQWG2voisOmCPLZc81NoV5A6iES_sQRLeviFWC8_wCk1YrThiAOiTWscRN13xO7A-WFNDT-5Xq63whCQ4gSoyScrtT-qBXEPUocNr92tfF61Qx5CW0Eh7djsFB1t2HRjzeYxB2CIz5Bucb2H0YRjvTbJly_BUkNiJBteqY0J9h9zGsgP1OUHrukpeO5n9xDBu_TQoE_YVvt1b_1I7JyMV8xcz6xY0RDF8MJsGyF5AnE7xSbrEtqS1DGH2EH-TfRRXyf_gBb9fwtwxbvz1crRdUSqpn1s4oHXUArfhPFP6I4fXfGlKZLyRJesF-v74HKfLOmcCTnAS7WzFPSskOLUe2LbRKti9b68eOOWs_UQubqBRxR0-MdxpygPWrkqAIkhT8DTfv7c6A47lx8lFyCddCGxf0_D6_HNXxCCUPohxWFCT9Nb2sFCyxK5r6QG5wAgZYUmzd2tqyW7C4qqd5s1FFYa_obEEb3rGJhl6UwyfRpyhPcIBILhJQyBAACIDOv8Hh5OePYpYN6ZBNV9Qaj3usiCkTuoxVU4DTVTcAmSIfjcjuJiwwuFksW3VpL9HWjb3Meny1yOaiPBw1pqQo5hfoh4lJqGYUjWaaHGqT0OWLF8e-qera-49sc30EJ9zjuKUNGr7EeAZZb30B2iHjcJX3X1iGcBIytZq-yJAKt3eKshgVQuEjO5VIz-C9mGdd_Q4_MpJ6juZnl-mu1YWCEpltbhM6oRLCx6b0idI7cW_6sKW1pzShbQox5dTsgfg0hFuQ4IZAvLE4dDdGYSiP9qZvLm8cD0lDUDqlpxl5K37zvPZWuZA-irkJnJgZ-iMHOu5bhkYFmiMJR6IO5EzCS5oZQKsN8gB9UIjM2tEGQ54MtuPyj8_YxZt5WJBrKZq1TloqlkVTXLYwMF1IxasnB_4ImYhwn_ZExY9xS3Juma05pPGDDw1GF6X1dk2fm9mUG_BfwRiDAHYCJP45QhIFl2qhL3Y0CIKN6OFZCqMRMH4Tx6qtDiN_NjySoXyShWxTsMMWNk34jfjepFLHDbFgjSvYANGvSLA25hWz7FbL7P9wYJT1cVyb_4Qh-lWNETQo7JjrL2IQDmd2c5DVWQA7VT9QfV3BP-zCuxr94SC0mH7SezrBbXpLwPIXwjTsuh46T1YM89L7PyahhSrvb-du3AX6F_VSGMk7HguZyQ1JPWs0IQlgfNxej-Fb8_FIckZxwGdS9eZgiBQpR7UnsqIZlCcrBgWUSkRl6kOa0ZfE6eQs5mH4NefjvXrZYeukEivdw-JfjxVjsiG23zdDafNLDMnv1A3RLz4-hU1h2BH-XBEMU-ulTdzZ7v03wPfwOzcCBRLY8Vk334cOuemPDxZLrwCpF7Bv_879fQ92ieTerkCtfs_EFi-NUevsJkU2girXEwm5Guo0kQz8_4f7y_JC8AmlexFAwWD0Ihak12tNX-p4FFUWHdi6QUSgwqdJGBN7X2XDWiaSXktgV0qZw_RV737yiY8cbGavoNyJn1JhHolVtwywX97mx7K8KYAywUNi8lOmktpUwm6tcR7f5fFLKN4K7W36b5Oci_FsHJlETWxL443cx9GgadZZaLIAWxCbN0tESyclTkTcsjDp58gmTgU6C4QoELV8TrwDaTpThe9IROb73OFJsXbVP7ckSHR2GoI2qaeZ6aY0YIwwQfD-lHCDQ1gjFdtIaHWoZe5YBfHrv5zXj4788bAcZINP28VjQCDxtIYGDY4P_WrHXbEbtLE5hFDNHgdptSmIfT2Fh3JA_cnVZ45rFTwaT6lzOUmgZry-QKu5aNnC6QQjeQuTDGooV9F7kHmcz_aueBDTJwvKWZv_3hEisSnEcn4RA334ionckSarf45E71jDuePaHu8StarXWb37GLoDWCbP6yp-BLLEfsVZbqUdmYbE_YYtoxUgEqfxloMjQlcnPWR0NkrF4tZVjAGlHqktLq0bK-huRxcM7--E_RGea_bmwZAuLSRJas-LzPmOgt_gm7lQh-T8YHAsbobmetdU6rFpyeT5sOJqcU8rqVqt7epOZpAQcCaC3O4xjvIRVp5y3y-Ml7dKKBbRzPqGLWg17Hnecr2nDWX3xoMWeQB-ahlaC6EXYUBWgBw4c_zbRrs_jYKI8dBb0I2wtZwZkn4Xuz8f-LoOpEcKM0Z_R5i3znm7DxrMFWdkbsU2cXlqr12JEQRl1SvKYUlW17vwzZ6BQ1XP5KrSOP6hsrwmZvscD_5LzzqGfJLpXTwYZI9T_s-LYb-HkKMdZyb76d_UGECOQ9Xh83f07LGLi5Fsq5hCI1i97CUat4bHd8r9InB0r4yTB89aj5iPtxB5gu6piCaab-pb8lbIWcvPkwB55Zv-nvZcvG8Yl6yV-RLYEen0pUKo4nwMOIp5rLU9lEfUFNOx2-9vTFynS4ti2idmIA4puBnKzoQ993mT9Pa6Ulrn_lTgpaRKd05qx9BEjLvprMw1bMOvd2XTOhxVqtWAuKA1aT7GwaYwOS1JyJjIBkuwTzq7XsS-SfjwQ-Rd3KJPmjhTZWdNid8X939Wx3zT7QwUbmjCtfppC905NhZJZWr5U1t2HMLnnB17nA-ALYhiRKt4fh1EJryVuUSVcPfihEeEa8lTR-M4nq1n3ExwjCj968XpPUgRAHMTmBvO2jUCCbwFiUSk3fcDc5HBUXaqrOQzCmchKOTXQg-HuUjw_44F0O2QZhvbYkmVd8DeXnoHxzDtmngM1cQYq2eh35eXZtzQWZhF0wxbA0CIib1bTCMeR1KArLW-tbNjgM3B7ePqikxrYOymdqrsduUtFM1Ta-SXaksAsfgX3_AZ_aWRuHXwHuOmQ0DjIFgoQsuVITvUHz9PfGrVjK402iOzQnVtM3yjQW-Wxxx2i1A25qO3ykTfBq-7W9SmGbwwZAMVd_AQp5gJbzzwRv5YEh9nJjYCVYhZfHV5ppoxTyIIoA1___pmIN2XwBeCU2XOwLXOHlwqxaujGj5iCCUXGZgYLIEuuvOG0GQ__d0UwsPJzOVFwVv9Zu61GO9s3zpK0bE2gk6YHJoV0NcN0QIL9IKGMTL5k4LtKKuTzQ_F85aHBNr8Q3U7ut5edPvY2NTRioLHKZkyeD0VOVXoR4RTbb7Pht93ft60dQ1JVYW6SQDh5CNtj_cT3cWQyh5AQfSSkPOLuf3XslIEGU1lWxpD8zsR2bYVnOdS2XsjCQZzCBZKufTXnOgGiIVsicuKiyzqsfi1o4NJrTIzeL70oKYv3TxSP7WWm-3y60NnWGl_wO-z20YfKNQbvC4Brc8jLda9J3gI_3_d6JXZMXBT5YDaY5d35sPjwZZDrP5ERH2xHZHm9RjZvMaKHqJfn5xHFbvBkms8jNzRG8Fm1iq_1soVGikps8tCNuKFsU6J83QMOPPQVywssCKnZQQjRhFXkWOD7HwPHGGKB2lF0UKD1_3R0-E8x91lPogcZ21MVgsXW3jIGX2ZYCKr3ZYNvEqF54pYsT80P87CU7wSytKvO3v1O99HvUtB9rYIPfl6eX0sAK3smWhsOFyvFIBqBqXCoChS97aHGUpLzbxMWyFEeCJjSOq4V-091zLA7rKDt6j6JJgt0tuDo_LisFh48XkTP71EglyjZucixHIvAsdhyXbm9von0axIa46tv4VdqIBCBlHru5RDrwGGrFr--7CmRHFySbBMhO9zhjmX0Mh8lQFFAFB9f8mVucl7NaAJBHpo9-15oAQN-vz7LoXlitDKpNYLPSiPdGfaIvjBbsfUceTLfqRNsp8tgZlS1A213w4Emf648ZDdpHW_pDvwhrUqo2JruJJRUIMb5acbtro_AKN785YQG140eRUOex1q30lGblP3Z4XW-rWJt9euawOT6Uza-Z8o5QDleojqdQRXLm4hskStwzvh6lTS6U0PAeknpC4DN43-Dl_H6vSHuLpJM_xKvYSbty9RR5tgf0HnjL_D920yxNn_BupXDL9ZDc2SYmgd-rOAEFsLFmLIDs6QT-ZDMElsVqxlNH-4GVEAUPxpOeE-Qbn25s2PtHHQjmar2979qs8u9sd-Kw52Sm5Bw4Ial1LtVY1o5FmMXPMCJcuvahV6hDwktYOX4XNlUbw6vx8A5ji7TLTpTMg3K3TMWn1GprV9WViGA_JITX-dVZx60ekgyWVsHEzkbWeAWvfk44--QKrmWjQWtmn8xf7WOuWCxYzQVy7n4yz3z9yEfAoe_V6o27cOF5a6AcQF104b_uIE9eTTLnBB47ciLwmOzcjIVBLtOJaMQfvaokKInEenIm6uoq74OY3kd_D--OK71aY_gAXZTHOA8S1db7tq6QKnQFnhSBfR-hu-tmXjBb9uAU5yz_q9Ic6P0P7g_niDdRZeqI_lFF3PoWaB0E2CsNGm47VXki83KHoRx40OpHzoWwaacst0TnDh0AhqpUW18l6Izl2mulJQuGBJCM_2xMRHVF4ovmBPPpa7m55i5FMfb9ZHHGn5xQdcAJIcFt5RCHxQiOxvKLVO2oFu7wsplzmfjk1pCoIL9A3jdlfTGm_OGp3DSSAJmxDZD2GNd-fWTZ0kzDiZGI975HuI5fttzlf9ycbz9lnKCvvYTWXgK4DzbyHgHA3XVOLdOMPKcg8BrlEQUL6j0MOFjAiYP-jjwsAkeXtdS2NEmMEKKGhgOpSFd4Lynf0pdMGVN5xXoKrB2ZQ2av7ReM10lXFQMlYF2k_TA9-i5t9kpDzqxlrACsvtT3OAUAiw_-mp06DZ-hne9t_dpGiun-QlyZildVX8Eyw6h4GA5sxHGAUh5W7zWc57I3xC-ruaubrBhEMx69pNtzt4skSv1O-83ebBFQlOd77NyoBIRJvIwHvoqkjJ7T-Q4LbByBq_nUaHL1HhrlaWcDx1hXr8hA==

prompt_used:
[cell repeats an earlier one in this file: 494 characters]


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-4o
processing_time: 47.04
created_at: 2026-05-02 07:00:56.240602
updated_at: 2026-05-02 07:01:45.522412
qa_json_encrypted:
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

prompt_used:
  pahami konteks dan Ekstrak semua pasangan dialog tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan pertanyaan dan jawaban PERSIS seperti aslinya.
  - jika ada kata tidak sesuai kbbi buat dalam tanda kurung () maksudnya
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-4o
processing_time: 22.46
created_at: 2026-05-02 07:04:40.795807
updated_at: 2026-05-02 07:05:03.808381
qa_json_encrypted:
  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

prompt_used:
  pahami konteks dan Ekstrak semua pasangan dialog tanya-jawab dari transkripsi sidang berikut.

  OUTPUT: JSON array saja. Tidak ada teks lain, tidak ada markdown.
  FORMAT: [{"id":1,"question":"...","answer":"..."}]

  ATURAN:
  - Pertahankan pertanyaan dan jawaban PERSIS seperti aslinya.
  - jika ada kata tidak sesuai kbbi buat dalam tanda kurung () maksudnya
  - Ganti tanda kutip ganda (") dalam teks menjadi kutip tunggal (').
  - Jika jawaban multi-kalimat, satukan dalam satu string.
  - Abaikan bagian non-dialog (ketukan palu, keterangan teknis, dll).

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: failed
error_message: LLM API error: name '_SYSTEM_MESSAGE' is not defined
model_used: gpt-4o-mini
created_at: 2026-05-02 07:13:22.625913
updated_at: 2026-05-02 07:13:25.556484
prompt_used:
  Anda adalah sistem ekstraksi data persidangan.

  Tugas:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang.

  OUTPUT:
  JSON array VALID saja. Tidak ada teks lain.
  Format:
  [{"id":1,"question":"...","answer":"..."}]

  ATURAN:

  1. Definisi:
  - "question" = kalimat tanya dari pihak penanya (hakim/pihak)
  - "answer" = jawaban saksi sampai sebelum pertanyaan berikutnya

  2. Urutan dialog (KRITIS):
  - Asumsikan pola selalu bergantian:
    question → answer → question → answer
  - Semua "question" berasal dari SATU pihak penanya
  - Semua "answer" berasal dari saksi
  - Jangan pernah menukar peran

  3. Pertanyaan beruntun:
  - Jika ada beberapa kalimat tanya berturut-turut tanpa jawaban,
    gabungkan menjadi satu "question"

  4. Identifikasi jawaban:
  - Jawaban dimulai dari respon saksi pertama
  - Kata seperti 'ya', 'tidak', 'lupa', 'gak tahu' menandakan awal jawaban
  - Gabungkan semua kalimat jawaban hingga sebelum pertanyaan berikutnya

  5. Ketepatan isi:
  - Pertahankan MAKNA asli
  - Boleh perbaiki ejaan ringan agar terbaca
  - Jika kata tidak baku, tampilkan:
    kata_asli (kata_baku)
    contoh: 'dibili (dibeli)'

  6. Penyusunan:
  - Gabungkan jawaban multi-kalimat menjadi satu string
  - Jangan memecah jawaban jika masih satu konteks

  7. Pembersihan:
  - Hapus filler: 'eee', 'anu', 'ya pak ya', pengulangan tidak penting
  - Abaikan bagian non-dialog

  8. Normalisasi:
  - Rapikan tanda baca seperlunya
  - Gunakan tanda kutip tunggal (') di dalam teks

  9. Ambiguitas:
  - Jika pertanyaan tidak eksplisit, gunakan konteks sebelumnya
  - Jika ragu, tetap gabungkan ke pasangan terdekat

  10. Format JSON (WAJIB):
  - Valid JSON
  - Tidak ada trailing koma
  - Tidak ada teks di luar JSON

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-4o
processing_time: 15.65
created_at: 2026-05-02 07:14:15.346223
updated_at: 2026-05-02 07:14:33.169375
qa_json_encrypted:
  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prompt_used:
  Anda adalah sistem ekstraksi data persidangan.

  Tugas:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang.

  OUTPUT:
  JSON array VALID saja. Tidak ada teks lain.
  Format:
  [{"id":1,"question":"...","answer":"..."}]

  ATURAN:

  1. Definisi:
  - "question" = kalimat tanya dari pihak penanya (hakim/pihak)
  - "answer" = jawaban saksi sampai sebelum pertanyaan berikutnya

  2. Urutan dialog (KRITIS):
  - Asumsikan pola selalu bergantian:
    question → answer → question → answer
  - Semua "question" berasal dari SATU pihak penanya
  - Semua "answer" berasal dari saksi
  - Jangan pernah menukar peran

  3. Pertanyaan beruntun:
  - Jika ada beberapa kalimat tanya berturut-turut tanpa jawaban,
    gabungkan menjadi satu "question"

  4. Identifikasi jawaban:
  - Jawaban dimulai dari respon saksi pertama
  - Kata seperti 'ya', 'tidak', 'lupa', 'gak tahu' menandakan awal jawaban
  - Gabungkan semua kalimat jawaban hingga sebelum pertanyaan berikutnya

  5. Ketepatan isi:
  - Pertahankan MAKNA asli
  - Boleh perbaiki ejaan ringan agar terbaca
  - Jika kata tidak baku, tampilkan:
    kata_asli (kata_baku)
    contoh: 'dibili (dibeli)'

  6. Penyusunan:
  - Gabungkan jawaban multi-kalimat menjadi satu string
  - Jangan memecah jawaban jika masih satu konteks

  7. Pembersihan:
  - Hapus filler: 'eee', 'anu', 'ya pak ya', pengulangan tidak penting
  - Abaikan bagian non-dialog

  8. Normalisasi:
  - Rapikan tanda baca seperlunya
  - Gunakan tanda kutip tunggal (') di dalam teks

  9. Ambiguitas:
  - Jika pertanyaan tidak eksplisit, gunakan konteks sebelumnya
  - Jika ragu, tetap gabungkan ke pasangan terdekat

  10. Format JSON (WAJIB):
  - Valid JSON
  - Tidak ada trailing koma
  - Tidak ada teks di luar JSON

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.4
processing_time: 46.16
created_at: 2026-05-02 07:17:12.753180
updated_at: 2026-05-02 07:18:01.188503
qa_json_encrypted:
  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

prompt_used:
  Anda adalah sistem ekstraksi data persidangan.

  Tugas:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang.

  OUTPUT:
  JSON array VALID saja. Tidak ada teks lain.
  Format:
  [{"id":1,"question":"...","answer":"..."}]

  ATURAN:

  1. Definisi:
  - "question" = kalimat tanya dari pihak penanya (hakim/pihak)
  - "answer" = jawaban saksi sampai sebelum pertanyaan berikutnya

  2. Urutan dialog (KRITIS):
  - Asumsikan pola selalu bergantian:
    question → answer → question → answer
  - Semua "question" berasal dari SATU pihak penanya
  - Semua "answer" berasal dari saksi
  - Jangan pernah menukar peran

  3. Pertanyaan beruntun:
  - Jika ada beberapa kalimat tanya berturut-turut tanpa jawaban,
    gabungkan menjadi satu "question"

  4. Identifikasi jawaban:
  - Jawaban dimulai dari respon saksi pertama
  - Kata seperti 'ya', 'tidak', 'lupa', 'gak tahu' menandakan awal jawaban
  - Gabungkan semua kalimat jawaban hingga sebelum pertanyaan berikutnya

  5. Ketepatan isi:
  - Pertahankan MAKNA asli
  - Boleh perbaiki ejaan ringan agar terbaca
  - Jika kata tidak baku, tampilkan:
    kata_asli (kata_baku)
    contoh: 'dibili (dibeli)'

  6. Penyusunan:
  - Gabungkan jawaban multi-kalimat menjadi satu string
  - Jangan memecah jawaban jika masih satu konteks

  7. Pembersihan:
  - Hapus filler: 'eee', 'anu', 'ya pak ya', pengulangan tidak penting
  - Abaikan bagian non-dialog

  8. Normalisasi:
  - Rapikan tanda baca seperlunya
  - Gunakan tanda kutip tunggal (') di dalam teks

  9. Ambiguitas:
  - Jika pertanyaan tidak eksplisit, gunakan konteks sebelumnya
  - Jika ragu, tetap gabungkan ke pasangan terdekat

  10. Format JSON (WAJIB):
  - Valid JSON
  - Tidak ada trailing koma
  - Tidak ada teks di luar JSON

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: failed
model_used: gpt-4o-mini
created_at: 2026-05-02 09:08:28.943701
updated_at: 2026-05-02 09:08:30.528873
prompt_used:
[cell repeats an earlier one in this file: 1682 characters]

error_message:
  LLM API error: Error code: 401 - {'error': {'message': "key not allowed to access model. This key can only access models=['openai/whisper-1']. Tried to access openai/gpt-5.4", 'type': 'key_model_access_denied', 'param': 'model', 'code': '401'}}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.4
processing_time: 50.0
created_at: 2026-05-02 09:09:34.581148
updated_at: 2026-05-02 09:10:25.218206
qa_json_encrypted:
  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R5GZIbEcYSeNevVekyy7t48qsUJyVCTy4XADptGToY9fYngubD38urApWs-iBsFz8-CaLtgi0m8sxkcz5sxLbsbpljZXkGQzkuIntsgozSwAF8rKBtCPsrAhjbd3lex-hWRuHjh-MBvFe84pUmWEese7aR5CK4E78yLRJWMQbrPBPngun3gmp8MjNQAXQJ9iFQ23ODLiza3R7H212mi0iQI8_XqmrFgkz97_PEVA1rX9RNZbDGFL7Y3cjItBf9s8ISiYFauciSZbVBsnXx53TiaB2Pdf2GLQeQCIXfU_RIKBNpul9iAp62wqoAVZ4KyuB0zLm9qNqGGQASlxlne8bQPOeIsheCBxuokTu2iERrC3qf9cersaOuNSZdBqRZSQ94sb8nak2RX3UgPbXXs1KjG4tvjvme8jtJgvEjEgS3JW_EUcAfYYPkzBk4nNlmiyWMkc5jjwqdgujrxuXVU_Z_c6oK06VsEkZGFelimrdhDbBg0DWSkOzHjR-CuW-NLkuB536k7DEQkyc19BH_0yS_Xc3E0rbnPyhbi3rI47xEFyBM0ZAWbUsrbvKndIxj2quoTNwArkHu88nsAKBH7MEjt3ur9_guRpMcMsnd8JfjYElFE_RzM53uyx42vzRJOZzlMLX6gBgNTpoGF1pEWTCoBDeabXIuIQ8FddTn-jXYBBsOzsgEGH04cnTtWpdVpvIFQe-NJa0JyVp12yWpNId-_fS3SL8AuhO65DFRI69PEjtT2XUszA97d1f1TI5XCWJfA7y7IhUD9qKsUEnDw6PA63kTPDfZ26GI2ImAqBVt8FioF4pIr1Iid0_3Bahimyhsim1YExwUkcfMYEtdyTuCDYP70jkaMdw6GkNx6Bkxc6HDAlqIeTgEW1EESYNNK8yZH2TuAaDdpoVlc-4is-ZIcvZcpiOQB6aOMluWxietFQHt5CaV2HgV9b9g075bRy1yKbcs4znRQfoaG6C2fhCZoWX5jlS92TM39G5elFckHeBe_RV3j08d_udPSDcOXlgG7AzEdLn_Tg9hwFqFJE9VXGgmgKJYFUhWEgYArbJA_gdAA3wkO7YwPKeMZm4f2s3z1MUxdSqMy_Imxf57RZtC9X8IotlGyXnA6v--e1q2NZObf6PZpQQr4wV77H4IrejiERm84_d8C0oMamZdUC8zVIKmA5wPZsrYFa2QDzYk0hZSQYcLtldpe2gQ6acecf_ofsuaaj_kmbN-oBuYxdNehnordyIH2Tng46361l1iaZuyrQSR9j93dEj9sXkE1ngtJJ-Ed-m8isqTjGQ0bFrgzNN6XSyCdWkupu_1m_i-jALBJryGJwa-7Oos9CnXYxJaNqeUwzHE8v4yvBWp5maNsH031WXilETJCm12DN0Z0UAlNKfBNGYTMlBJPt2inBrtt9oe_gwtljmcp4LZJ0LHOddXprzasQLh_NmmtGzjVYLyW5Ixj0sbT11gIfR8vH2i_fwyrHBxKHkPCyrnbadm08Op95kgL5_Fn8s941zmqn7MJdMLkFY6ClOkvpMRJhJzJPIWLbeFSPuSb2seYSZeMqMaGnynFpxfFdBBI_lFrPzTjL9a_fFIj6V_hEXH5dvgggnittFabFEZjH_3DfQSWAhbFNHyUJfnCgQuHzZoxSfl_4l7tMsMiTUvE3lshOGP2YlrMcg_ZewjiF94qZLvLLH0B3VOVR_lagy5ntGimjV4PtQwZIGn5rSStKPxrg5xAPomS62E1-s2TzitR9rJRMkfvncUNakU3wuYTE91tUrSy_ffPktsbkAYIEc2VtRVvBipeUVIDBqFqNMttxEhVsVh0av39eTkPQ4t_y2_qvThW_Rm9_nP1GLGYwKUXyKylOmGWfyFhT32QcxXI6qTP_Ucz42iNvrA7PvpRd1ByfiUEbLYU1xqW_DiXqrPM1a2EKEimVOoAdd4DX3ETsYdMZzzP5A9K7_SEc66Ez-ZXGAP6DDkTuZsnMK8TIq35fflgPclQyJZmOpGeGaFHKC_AIOxNir4QGoRpAygqTc0e2wBBIBTgcM6KoMU-FyOIcMptmBMxSAuROV5UYvnbl06HoMOmYGI6qnXoy1P3qJQKkBmbhebnD2Dx53BKTzlC0MGgx3d6gzn6oJcjjtKIpBSAKDQWw31uOJEeLZBnKsQ3haToJzrdPlRnBG_EhkFGWCC8Q2bnFeVn6XYSPpuF_XUT3B1EVy-5pTUNAmJ0cKfy3d6YVPu2sUOD_nRabv3BzSLVhcVyZwruCSMK_piqzVG1h_u97c5tyYYmEKLfHcvqc3fzFoB3s3W8OzQsHsD4HIEvDpc-Dm-xheO9DiT7fv5T0BWI1YkLmtHSPiB15RAs8etWsenymLheyB3w29Pcpguh93zSaLWRSPB9m3Cvz81h6LMhIdtA85o8SUEoEAT4L3nz6N7vwfEmi1rQA2SM3JdgSK0mk_wQPREi1RCoWGqzqKJSpBENUMCYUVcDTomPR039x1FCm0o2h8KEGih7bJAOfTkD0Q5Cb592wUcc5i_db38xhwzz_XagCKcd6lttSd3iFgGTjqsWp_OoygVG-w71KR1QlxRLpf07A7KCD3ZLXS5w0cXUmxAubJSLAjrC8L79hjtU8mO0DjKUR4fximrQO4UEDRwRIA43aZmkj3RkhYYU8432ChOydSzRgU9MfiHBY3_Cs9DlBLKNEJ8L-ANNqX-QPZ7doKoVXj_BpOOmvAVE_T7dFglEvh0aWRXvT0JweDYkTUKStZxR4QTUpXCXlv85zzbAVp-1qXBJuldEgSVzq3swrbElqahtzLo5gxRszmVHsnCuec22bv0H6sIw0bnWmo3_v0RMSFklpgcuMqB-HafNlz6hs3ai8_EURyuEXavdi-STo6GtiKSIb0ffgv2NkmtiTau-5Qo_-BH2mAeztiZ-DdqyWS5zT1sqKH9I9kfhmWLkUGb11a1lccJ_8tmJ_x3P-OtH9-FMOxMkInt4e2knynXMuCXr8HGP_3gCXapnnW42ghZY6YNAyO0C_XgyyZbP-QQyAYN3FMFOJ4TYTILOK8wAk70EJoMhZxNzbZgYYOnr3rsiMvGW_O7hdCCQCZ0bZ6_v9GU5yBNxH3XJg40CpvXiJ7CP4ktXoG6MOkgndbiOkIiQQKE_rxdLVsszxNSetCf60xHt_y3ZIUJQm1ASvCOjXu_aeBAPwumgeSnL617o4TSQATav4pb3YLT78lZIkXR3rY21Bxz28kBAQlw6IcKOf73dKFi_DGcbLbO6hAY3kWy8_LvtrV6tFuU_m-8wChBxJZkVUKgISH94ZgosvmUtuXNRkku_1jPmgM4Ly-pHJA7ci05-dgr1quGJeAwZ5sjvIZ2FiGx03VPjCLPYPZ2vk9yQT5YHyj87RxM-5XoGkqha4DlU6jq9gXO71wK4k4rw3IMVcu_MMABcMa-iOFm2AGToi3OjUc4CvACMoQ1uXhohYHhpdqWM4Q1PdKyAkW0t8smsOxiTHDs52Xg13o7WkP5-84WNQbY218KFiZaeDQ1ZG7hMRn4vs978fSvtAn01L7j3BrZAxpYL7-fRv-FX3ypuXXqPcknImCK1b2TeW-O1-UsV6v-qbANU3MZah6qjyl6T3VeLN5wUAmHUAS51XHy_0vY-_rIL2FAzznVbWKl-UfdN19KsWIMls5YV2kmAPdqzFB9ZKhEB9ooHfoZlWdtC1kILLeW6zJHcN-e31pXZU_3oX7lybypKdhwnBltxUjqa_aVnVdkFY_ZhbkX2_UnC46WUWIiSioxNQy3klEh5C-MGmG4-gzo8ULoKxsjCCHKj3v4DYq_3_q45L-_LHl_EvW7AUzBrj-JMr6cpLaILMLU38W5MK7txWC8HjJCruDb-s7xDQJ9JznMWd9jVODQo_CXAzzuENdTE5SOAXrPIUQU044xRVZHDIFreW2wgbSy4AOh_opt--wtvmZSXeU6uufkjETvy0lP2HNNtO-PFG1dPhtFUzvsaW42wq3FUHq2FFXK__X9XmuMC4XLc8bIN2Ml4d8gzAS6TmFtAdiNhR4wB4OhRdSYIA0jBy7BCTuQQZv68M9568A8gbsdBzVaAp_1CBW2hk44Rgnuoes8cj4Oara8-P-uGknML4xzxe2U0_G2jHvWF0-_9DlBVP5dGht44Jvf32GMBflU7cH6Qp7NFiJTVmamAynTzbcmTYBLE5bunV-3YZyXXEVED9cNc2qOwaubm9nIu1Jf2XJ4jZj-5LOTMrViZId9H32_yYrZCknwCbALMn9BrdfGabL1RNAQzFaaEVwT-aHZqsw2ccJvby1JlUwvbg_-Ty9VNmJT8m0LGre8J47uaNuH875l65KvfzhvINQ44Sju07d822d87MjMYz_28s4dxZPelHAphigkEQm19s6s4Ig5ht3XWVYSRX5biuZkfFrrEK9N2yxxCc3SwjbJuXm2BeyWWGDZUacZm2Pzl1N9WSK3U9-BBErxhyfWsBUDJSZZAeRTSFcXG5a-ZyiUb8ehpulB2tPpAqhBi1fy1WgaspKIsse9wpvuw_J2GwIsCp98h8BssRye24pym8WU9vXoOI3N3m2AUm7bBr41gGiJstffmO97lx5kiiYOmbMVAiPFflB4EL26UrgqQII_BRsHVm7SnxcxgWgVf8OGcifZ7Mb_rP0KGuwQF0rJ8xLV-vnP3p596adKaMMsoXTiVJqWayBkSjiqPwMtITxI7oOlgNkUXMMsyMWej87Z-VI1HYJVAWU7Imx5QyACXRfdaJ5wDUzsFwbajmAvcV188tILojtcGKjdrQ6MhXX0aierdocAD8WBnJqUKEyHv-OTX3ysDtqvgQLftbP2igpN3ZXKYLeo2vEJz0zyPLE9S_EdJo22D8LdX--2bM7iaVvDOc8HyT63in3sAyr7Ws_PhEkKXtOb70mDrqB4lo1OvcnzmiMbvu1n_4b2C5u1_EzM9ApgmVlT7VMER79MwnSkokiKQBYM0LkeH5zwz-tKp3Ma1Y23kiCmq97jsJwrTixYsWNezT3RiEHaiPjMsAOlh1PX9tZ6VtLq25AzQ1LueNzWOPRbnSq_i-Josn5jzFcQGWva9U1wh5h02dBsZB5zA0ORo0qkkzK5rBCuBBCJXxyzHSL1vLxc2DlIQcPCTy9jNff8SvRKNrhHI5MBP_cm4J90AQlz0U7C5rkfoyKf9xcbjKFmRzfyfwWSZSLu9VRzqcl_xUuFCFqjt8OpouTmuWlT41bvzlW4QxHaQGrAT4-7hJqr6MTQTrQRidE8E_c_Y9C6upxCc-HOGuo6LFkyGxtQEo5r-WQyKOOaFXzrYpPhPAjvxJt3hf2ZOvTm-fEXmFCrVPEoopXu09xFF2PbiIGtlZKMJoHXFfPCI_pydX3rSoq3YZfyqB8gDLV1CgNuu1We4AZ11QQ6y5jg4brFqgqkR4wuN2vyqxfAT0JLcM19-6wh_xaS-rjLbNj-37Gf2gezdw1ROzRZ4pDQU5ryo60RPwP0kgDgWFVCSuYA9Xy3NOKcae-7Sq1EBQij1J7l7RebFix2JoYE5dFyLwMWKf-qI69jgz0pd1oHh7suGtLfeS0AGI8HSHfVFQwX65RN5r1UBgw60DX8HW7Apo0LounspbSSv1Y8zKgxAH9aSsKPezcdhHCz4SUduh-m_8qHUqnc2pvWdiEzUv2ToJvMdYyavBJkfZ3bGznKBQDDrNctiW2u4IWuMEbwrSCpkf-Q_ccpCfegIS-05YJe-8dxPMOS_DWO8zIJGUKLGqUSorom3KoBnbvopc0h_gM7ZFNmJ92S7kQ_i3zgS_m43jqWAWL4jE_3-Am0o1DFrY6OJxE2clYT_6LRJ4oZ39rYAmwW3B3Z4jSukc-2pkHVmxr3THMeKdLqv_TjRoDglEvBlPr3sOOQL-h9ow8bkDA0nrXAj45JmiJj3Udq7RIgD-yLA_pukop6G1_dWQZkthk8sVpsu9o8alsy8Zane6lc_5w_Kv_gLqLl3xLQ3LjNwhAYPHd3ao7eXy7e5FWq50npjCMaJfcDxJJDarTlBaos2DkR274B2vgZYILxz9-N60mpKrqqpQ0yqVbhwrWpPCQVC3RUn-KtwTccFO_iw4NCXv_omc4MQ7mWgmxGvuYSM1qANDAqS5jBhffbPTTEQDmzz_3cVxxWXIeLrIjXHDI7isFFhlEOhRmCm8wihA2dIEDbdDJadg30mPQguN-vffA7K9nb8KzLA7uVczMwBgwsY0UJUH3J810kmKLABTdPDmR_NR9FXaJrzIu-Rd1i6sSItJ6_FMCwYHFJPZ4iwEntxBLZxarwgcwmzevw0FHI9i4MdxpQzCCsX5H9kwkWQl46FPWOatxmq11WfbxnrYgM73Uc9O6P26pDYLJYCFbBYwbhTS_SuB9_P-5YB16uDEb9sY3ltsU6chzy2pykM1tQyBnljnXNjwdcYYJFzl33FaMaxXFSzrCll-YXtTl7FccRzpBBMSDGJ0R_fT2tviWEXGqk_lyAZTw0HSpfVcjYqcPx7EZ2nttVfg5Rdc8WtxTiG3-DNVofPbgE8rBi9VYkOh3ucO9SLXg3p1C-0OdM81dSUUh8VYwTrOt_WN-SiJiqgDUQhCr2NVMefTjCLId2Dt1ct3i-x1o6zfDAm162R-jfjC5FekLJch4xB4gLPGZAX5fj-D9bhEqGp7-zeQMgWGAO3tRtL3o6yaiNgnTXVt86CXEmU8pHAw94BgncL-tJVqsUymof1AAv0k1omQv7_ztkkE9ZAR6fi2WjK_6lgXews1G6kWC90BC4IjHB0W3HuYa3Iauvxb8HKYhiXVQGuWzNf7d7HK_zukMA0QvQgZmyj_WDjO-SPZKcUsEjY2mR9rXNe2RVPcuk-dcJyorWYo-6aAuEHB-prOOwgshCVQNSTqQyMVj7cQUpBx2WICmQF5YYdr7q8N-V6y4ijAeVAwXn_SdZ6eOr_KFrzQmp2q0IxFN1AA6fuzFgKFSE4gyLX_yje0QQUXcZVZbFYiP3wHJMQWeyX5Niln1C-FW5nVmm5tPo0cLOFlJ9IfGVlyKKK24l5kwi6_9vs66cEFtOgWvkCzj21uGKE0uHdGAdyuoi_-qtlO2otAxC8ayaHJqXdPb__jsuml2JZvoY-FyROCrA9Beb3vLsBc48hPXsbqYS91P7u7iGUycIsy-eWQ3Z-ygEMDXsgkvYodJmuOG0KX8LR6jV7C_O4PFwWX40h-KuOT4b0zGGCvFdmBFURm_BPW_-2PTvgZoLWEZtAVsTHNHdE2enoOq_BUuIE0HJLXXpv-a8a1DlExGKWlbNtPqRC8cP7tJnjvNWRLtjv3LoZOOHTU70nsJItlV80C9W55QriO5SWXmXBqA1OxmTpNzu1NHDIF-GUod3ViUaK8caR_tPymMlTHpmNN2iPYsANjvpTtpinbY32eY0l0470jvqdUZRGGhAI24RxJA9X0kwzQuExrS-72kuyeiIhGJg_z36HWsMD8PYCa8B3joqduqH59h1YgQ-5vuDCSkGeqvXx57YoHBQl5w5E1nQbM5PQVkBDAB5W9_qjcH3f5m11FAOmeohF09guvbnXL6Nz5SWgpPbmDKsHZkRaZ7vm5bFA-_PwkBiLW3VemaCNkMBsYh4qQZuOeT-zC5d-oAi0F0XeGeQ6GN1uNQ6gIO1SCCtLFj4thJpOQBM29_E7e1u6p7kxGrlpQ6Fq9KBCt92MWiU32DEHxQeSACaCP3k5zb1KVk9K1us1UHvoVZT5tyMuWi9G32EjXnvmEl9eDKav9RrLjaMaFQFMmOIfJbeZbkjF7C4vKXau_wxnsnXqO3LXZYbz_8DM9yrBMwZr1I4hih0IUoupmhCfK9tRPYO4DNmd1n0ncQD8iTrS2tjuaN3cIhdSlv0Qm1sCD6qi4hVT2hY8wpw3n1Y4EWb2TDRYV-fqKfE0QJPxS8tZT725Gl4qSHqEXa5sfqc9yp1aX-0jTdiYmNXZe0baw5_wAsnlTYIQ5mS6AinudokwgFllmbXhiQiDF5A1k5sTRATDcoE7qDfM5x2kMbivLA68a3IGqMS0mw0pZnAqW-qA2wR-mh4tlnlH-kvNWqxJp-ouPTumh4NvmzwMIIEbpYWMWMi_RgX0BhGjcDcEXNaPer2KkZF4kLL-qnP2J3R-SAVBNuzaQIpSZjRj2nv_Ht-mnNrXkilGLd1Ycp1GWlsbOPJl25O0M-NPXjgGD1KSUi4TD3-zB5JgSB3iWAMB2gVaGF9OMmOuGPoOqzsTh_9lEPOHVujsgTfacfjxfYRBlQgts5KDmIlP1Ft3OOj08PIeXzio1tjgMQfbDBt8njJfrcxxjyB3BmvDp4zCXmgfSWEAZxvemZ2xPO3g9QTtoA_2Gd1eYezhu87EBQily5egAt0eW5HabkRBNmWOcbCfYE1GzEqLJz-RZZmJyItavfZPU-xLtqWFbeL40aiLvHGwmvwswGuXCnk6wzvrl8TP7PJ17z3nuVqLQS8PMHs9ltDiVwEuMCANcvVtXyOLpYJpX9N2lWnSkdb5gHdHUVeXzTgTxAOBLhGj5dY835kaSbFlPibCRK2EAZySKxUwVKh9mbHNEfoRERyJgwgkGlFNunkegsMAZP9aVa8_neaQ8GooO1AaAJMMgP1EaxqsESwAmrhtuRbiDHf7R8iL7P3h8eCjtwFsmhcLmzXiA9aiHQ9eDrOtYu4_NjKYD4Bqble8WNbwRqpGOIMYE8PxQARM-ogs_5AuNtnl4p-Vhgq1jxtqjWueMB4_yuEH-3vWDaPO0sIQ4FDdmwEvw-IZ1W6Vc0iXjsvVRp1Ibm3n1oP7s9NtiP_tHMdFy4aLkY6NWJej9sVlQLqaxPrf-val4iHscEj6qfq4WbPQOn3JAGzK9wMp5kmGSOeSlQFpxBzm_DBehVT2IwMGe7k_g-prjajgPhQYxSbSnSWkBoKdPPaCM3TQnCOiNZkOTbSlvcr90RT1nW5Jx18DDs4ktBbG-dN6lHW9pys70ZoTAfQA7XG0oZe2YVwXlWPNKea5G7ytwbpRY7i0vPOBrYQNlNgLl0sUkjzJBfRC_qcPU8JkviRLiXVSHeoGDU_f2ZVi0CMUtB9kCqH6I_4s9K9MZtOEednKmK7fEaxmXCj4oNEbKXocaeg8BWgvk0BilD_XXicRMQ-8WJ-puGQVKOPUfvLvLc00p9nm4x0QqGhIbymOyCQVp-bMRrb0RBJIwai7tyTI4Zzkle7B_pAtZDMXxEAVhOYnIxzRGtcIHQSUAPJ30gS_8QHZILSF0JJIpF5zj_sSvumMEejkwO2JDbAR5RqWLqYiBit146dzKzrD8iJvtOfoM0gq2wnXjY7MwZLO-B_lLU1JNaGAn48jUf_6pVRX8RlSz3WHxUCSXxyiuW81gV3IFDxhYt1sKNhUDZO35uI_XvmgdRs3WHqLaBCqPrCBO7sED8bu-O3GUXtAt7cnvXxrC0Gdw6QqS1JZ29xBCKu0GE4R03CHh0pX4wwbDaRU3-W3JoXoRT3ydiXsoh-oz59LE5nCYqOHUxvrgcLXEm2ATo9KOvfCrAnFkXFZHNv0thtNienwKyqyffzaWKhV-Vh7ykCMvZvlINq0bjEo_yrqBwkcYx69WJ4QVQ5KSf2PUuKbwX9utoCZo767BmR3RUVKmz-6sQ7A3DwPLrQLmqv2yhDwsZjkYVYOz0W-jtjRDzRZEJUEAlRdDZxEfyfOeOjXXe8JZruXRUClr2k8MmdQMkcUz5pubSY6Geu7VvK9hveTIK4R8c6xqXnLBZEqxIIYk-hHTYXhbFD_hDmsX6wJR23J8np6IeCRQUFBTN1PIz6Ax4Dimzga5SmLsLRvQU1GDa10HDOFlZzKUbDORPy6Ef43lNATr_vR3lWYTWZWxgrUwX6tahM-1vc2xCruEyf7l2fJltTk1enoz72TCEw96CPwEXILUVg7yyXQNcBpIPvLZl1TTD0QfnXII6PMouKoO8GLV9ZT9EzGe0uKs-UryPwwpKO08w_IaZRlVmHoT-6AZymvwUJDkjKzB5eVd7TJVo_MQ5LhM8lxgh9TWEws1U80XrLyPY_bJU9BxZZXL6UGxzoHu6A56fwxSmKcS9fxNt0XIZZHvTkDEeSULx4GQRcQLEAms-hU1E3P5SO5FVGrACPMxCknxPqoGLGmumvMKYeG30H652240Qfy5C32tTVPrMN5OBTHQChhZL9X-ZUaN1vaBtncRvCtRaWAayyoFM9BTE5B8BAGlwGVjGeOuoVst5Zp5iPvt5Vsmm6gu2b2REYTB-f33-3y1QTzcfIKupqiGMWMlG01g4XIk7EsIsLN-nGI7tZOpJ9Z3uIgO4UxrOlsN9HSMJaC8VT5pugdw-CQOLsssyIUaPgQ_gRfHe03CVj0t4tSL4y-mpdjW9byAa7vcdqWIwJweT2ZZP6uwjXV6fBFT1hXyasRrj-88dmBC95KNp_s6QVvdKPGcmRTXTDI8Y4CGkni0YPJNFb5B7P73viehzDnc5J90pKD7jmWWcpFlffOGF2f3kHQbfou0jg7f9ZDZ4-7MbvToO7aOA35JdQ_WpDv3Y5J1ggoDH50lpYz5KTi_qH6PaOHsBfW7msngEKHlLrmZJnmQI9scqx5_ATXUfgcvug0YTt5LrpE4_OoDZIC-wsjY1WbGco7VqAQ_wbs0uAqESzjuzzl9dXUKXxJZd-kwM97kJBhdhaLxX-3_0xqMXq-Uj6X-fe45sQBg0Vo2r0lsoRT-wP7GlsaAelbJFwP-HiDgOpewgiKek84VRU8_IcxWVlj9g6jGI0cuHQLZjWLhHjarnsckK8ReSKmZLfiaRFkQmePC33CbJ471gImqRZLVPtmvQlhrZu-rp4mCqMpSxbETSgFNX__gJJjPzpEtRmkPt0g3UnMDvUXk89droKCxnKmaoyYK9p5ioVA7YJW9H_FjOcr22bSx5AKD5GBVttgcki69yoe_hdJCkaKgZ1zKjSXZKbd10_fEvzJ03FfE4xsYREOpt20jUjCVfVHM9VGBmTjKXBQMFZg14zai7zDMsfEbLiM5ERS5fA08PKkj7zikOCM5D9O0rOhtGDL7PeolEd0ipjJmLYfguXuhsIQ0SJgO05pFfc0MhUpoqmT5TXisBUw9iwXdSLD2Q-pjCvmdPiYzJ77uqX0dr4cjWPG-hGTn4NlMIefbIB9D7Jd8kCjI5WQmDhHYR78pY5DJUxXJmZdx-5zL2TsDsSxgnvIZRbtQrJ2PtLSmjt4fCZZgX4oTKQUcKOtphPdNt5CglyFL4Fzw_84-us_pnnH2196pSt08_CB0QFh6S5suZEYdPP9A9uHDn_HXX9TZhrQGWt0Fo80Rmp2Bv0tMfmPvThNVrAezS7JFJ2A2JZ0aQZIGsxRyf8UUf3CasHjOlHxTYjrAFWIPyFUVHPBrfxIiVEPzH1Xw0OqOZzPtYvBAQdAsDQOQxhQbcU6CjZoEQAWer2y1VQStUqbVyP-nddQ83AQsvGOps4hoQzh5dw4Rx0eTnCAMoeJ0KIE9xLoRhPgwiPlEqZn-6RHqzgd6Fl6vi0nM9xKn_22bJA-6qDw-XO-96zqakuU8-k-LsXwlje70SyfRrfb2uuHP5Y8hK3ezzE7MRlrCIXg2jQb3uOKuzuI1Qi41aNYMmedbI-aOITrWka33aLtNyef4UwAScoEODLrgnNbb7LUg9sXM4kVspm-rn_XFos85xHTcRmqo8dxjCEyedqFA2JKDDwRttkbk8BQUPUA5ReQTOlboL28RrQmtWkCbcBHeAnnIIchXIRDsrCV7ZcWVWmHFrdKag3poG6iOW8G5HpsWQpLlcGoipaNKAfe2HvHsj-ovN3KJB88fS98fGlvQ7UAP5TUTdDwHdmW3QT4K3ovRsSTDlE8e4YLDIXPOEeo3gO3JonukaIUCNRURx1bXqZWdd9c-vR_2o5Z4bowvQu3PiSetmCT1awium-JnapKKsJNqN1z13QQ2cevKvFb-Rle5UBuhPE4EBrbZrVRS6LrG8Z7PGiCtPFQeV3dHCKO1J_VeA0aWE0AaC8MSF23UxVjR0Z1J6eVeQ_EsijDQkuxNbJ9BdgKU3yXrjU0GUDCxA1MH4qxnGgR7M3EVsbQVTW5w7RGXX2j-CXt1Ywe641LD1bf-8V5XeO6CcuRRYvcrSi5G4G8TLzQyK8XpGWg3G2ElF4vDdXDwZ69xaq8Tsfk5Wk-tlqi7VlSvOdHHRcAjhcuXbKHIRuZbyK-kMzSOl8CLuO9BsDiMBI18uQSEiqbksy0UuU7IUY2KeRFCYnZ8GKo-97b2Y9SD8fuFUhFl2VYBAlQdywaGWzveGULH511HonAq9QAmxCTKmwYRM2rv67nRmN_XFx99KnSEoXNht39SkHLr3PVR-mnK3OiFklu6GWAp42gYEo5_aKEOFZx11bqEOdwVZNs-2NR4S448y5-NaqCItX49dEiQmhbfe-nUB3hMbGq95LP7PK7r_yJDsLDLbg2GoPVzxx5cNBH4-Uyl0ZnGX6VmgjMnsINFyFRIhM8ySl6dILVRFuoA9n0Y-MOe6HoyE70wYaIUf6wWgp6Zi3zxYPjfB8uFjDW4TXKlO3IbhkB9dhDwCEw13T0BT9Sqy5aWBo2LG043s0zBfj-zUsVoWR2Dhf6sSiv0NPyfExLOyL_ycDgWxMA8Ucr_6v2N_7NtctLJoCq1a3Y92TPZnmdTi9J5Bp_R00Bj20pGzZGJv5geNkbHjspYe6OmaVBu6PVPoKjhgPEXtAfE78bsKKMFq9u5sIbCXttw9fTe13DOCg_W1IFZrjz8wK81c5jqwNcJi38LScieYGwXIi5mNWKlM6AG0nNQzwbnxdkoLAYSSL9vUwwe2XHx0pYoGab5SdU9YvoQ8swy9YGyqx_fZx29DGyAphYzsjUKlGswYikUwvTCI1ya1vqn14SzlKXwKRMuUlFvI2dbqMoXSNRWbS_zbdknIWC-9_Uxnd-mz5mBlgqiRASmwBdOrayL9wT2eZf_-UugEAvFwkXumOWph-TraQO7v91CIaltiQzdBkU1PRSH-oJRwfe4JeuJFNrobkOQTBO4OAFQBeHSQuqVrN5f3zSVxMkAZ8Tgh81AjzgV3EGhp9oCRA96hztFQiTfE4wf_ltPPdzaiJQyV13YoPysJ3x_EciF9MAxc9nL7lVFg9HrMLHar1n773aRY6D6zHzz-g_Q8nOBA99SvXKiyPlZXVGOMulzqG7FJbFoyka8k7IwAwNYJQJtZxG_XrMwvkOSbxgejAbsm6n4z08g0a1NFbnteoCXDT7wpF-52vj5Xv3THoXRFeNh3lPtVqmqopSVJGcwXRthbxi0k7kpuK9WUBkG__4ZnfDXdhz-lQerSdcS69bnZSOscWJpTsUTLPbGJST_V5TBvoWx50FdwGH0VVwebOuwHVx7XCPuc1L3WDRiSDpF983nKyXws1XtajoEgphHrxawqCwZOqlr_vR7aOMDeQFiJGsM2IkkvNHVUSWhyj__-1G5g1bKnQUbtNU1yJe39y1kdMyn6z0L04FH0jt7w90-Swsg4EE3vdILXcuzfQeRL95GhLA-rojsgbIxp8z8ciIPG7Yy2plndB93dGxX_mks0rE_wJWL1COKqTdVLPpHD0S3y7QPEyVoIs-aT8YbGWQJVwia_OMz5n73m2a_JmIFD-zPgTSVJHBLYXWh9lvqH1UkGrYN7hDwJ6X_gIhCdOL5vxsfmGRBmkfPyoGNbMvehMgcGASenIg142XvZs6Aa8-HtvUCOMr5IdLKRXm4qA==

prompt_used:
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title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.4
processing_time: 61.05
created_at: 2026-05-02 09:26:36.137466
updated_at: 2026-05-02 09:27:38.097894
qa_json_encrypted:
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

prompt_used:
  Anda adalah sistem ekstraksi data persidangan.

  Tugas:
  Ekstrak semua pasangan tanya-jawab dari transkripsi sidang tanpa menghilangkan atau mengurangi kalimat dan konteks apapun.

  OUTPUT:
  JSON array VALID saja. Tidak ada teks lain.
  Format:
  [{"id":1,"question":"...","answer":"..."}]

  ATURAN:

  1. Definisi:
  - "question" = kalimat tanya dari pihak penanya (hakim/pihak)
  - "answer" = jawaban saksi sampai sebelum pertanyaan berikutnya

  2. Urutan dialog (KRITIS):
  - Asumsikan pola selalu bergantian:
    question → answer → question → answer
  - Semua "question" berasal dari SATU pihak penanya
  - Semua "answer" berasal dari saksi
  - Jangan pernah menukar peran

  3. Pertanyaan beruntun:
  - Jika ada beberapa kalimat tanya berturut-turut tanpa jawaban,
    gabungkan menjadi satu "question"

  4. Identifikasi jawaban:
  - Jawaban dimulai dari respon saksi pertama
  - Kata seperti 'ya', 'tidak', 'lupa', 'gak tahu' menandakan awal jawaban
  - Gabungkan semua kalimat jawaban hingga sebelum pertanyaan berikutnya

  5. Ketepatan isi:
  - Pertahankan MAKNA asli
  - Boleh perbaiki ejaan ringan agar terbaca
  - Jika kata tidak baku, tampilkan:
    kata_asli (kata_baku)
    contoh: 'dibili (dibeli)'

  6. Penyusunan:
  - Gabungkan jawaban multi-kalimat menjadi satu string
  - Jangan memecah jawaban jika masih satu konteks

  7. Pembersihan:
  - Hapus filler: 'eee', 'anu', 'ya pak ya', pengulangan tidak penting
  - Abaikan bagian non-dialog

  8. Normalisasi:
  - Rapikan tanda baca seperlunya
  - Gunakan tanda kutip tunggal (') di dalam teks

  9. Ambiguitas:
  - Jika pertanyaan tidak eksplisit, gunakan konteks sebelumnya
  - Jika ragu, tetap gabungkan ke pasangan terdekat

  10. Format JSON (WAJIB):
  - Valid JSON
  - Tidak ada trailing koma
  - Tidak ada teks di luar JSON

  TRANSKRIPSI:
  {transcript}


title: Berita Acara Sidang
status: completed
model_used: OpenRouter/openai/gpt-5.4
processing_time: 56.62
created_at: 2026-05-02 09:34:05.456181
updated_at: 2026-05-02 09:35:02.945434
qa_json_encrypted:
  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

prompt_used:
  Anda adalah sistem panitera sidang yang mencatat jalannya persidangan data.

  Tugas:
  Ekstrak semua pembicaraan pasangan tanya-jawab dari transkripsi sidang tanpa menghilangkan atau mengurangi kalimat dan konteks apapun.

  OUTPUT:
  JSON array VALID saja. Tidak ada teks lain.
  Format:
  [{"id":1,"question":"...","answer":"..."}]

  ATURAN:

  1. Definisi:
  - "question" = kalimat tanya dari pihak penanya (hakim/pihak)
  - "answer" = jawaban saksi sampai sebelum pertanyaan berikutnya

  2. Urutan dialog (KRITIS):
  - Asumsikan pola selalu bergantian:
    question → answer → question → answer
  - Semua "question" berasal dari SATU pihak penanya
  - Semua "answer" berasal dari saksi
  - Jangan pernah menukar peran

  3. Pertanyaan beruntun:
  - Jika ada beberapa kalimat tanya berturut-turut tanpa jawaban,
    gabungkan menjadi satu "question"

  4. Identifikasi jawaban:
  - Jawaban dimulai dari respon saksi pertama
  - Kata seperti 'ya', 'tidak', 'lupa', 'gak tahu' menandakan awal jawaban
  - Gabungkan semua kalimat jawaban hingga sebelum pertanyaan berikutnya

  5. Ketepatan isi:
  - Pertahankan MAKNA asli
  - Boleh perbaiki ejaan ringan agar terbaca
  - Jika kata tidak baku, tampilkan:
    kata_asli (kata_baku)
    contoh: 'dibili (dibeli)'

  6. Penyusunan:
  - Gabungkan jawaban multi-kalimat menjadi satu string
  - Jangan memecah jawaban jika masih satu konteks

  7. Pembersihan:
  - Hapus filler: 'eee', 'anu', 'ya pak ya', pengulangan tidak penting kecuali pertanyaan penegasan
  - Abaikan bagian non-dialog

  8. Normalisasi:
  - Rapikan tanda baca seperlunya
  - Gunakan tanda kutip tunggal (') di dalam teks

  9. Ambiguitas:
  - Jika pertanyaan tidak eksplisit, gunakan konteks sebelumnya
  - Jika ragu, tetap gabungkan ke pasangan terdekat

  10. Format JSON (WAJIB):
  - Valid JSON
  - Tidak ada trailing koma
  - Tidak ada teks di luar JSON

  TRANSKRIPSI:
  {transcript}


