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All Journal Marinade Jurnal Informatika dan Rekayasa Elektronik Journal of the Indonesian Medical Association : Majalah Kedokteran Indonesia Canrea Journal: Food Technology, Nutritions, and Culinary Journal Dirasah : Jurnal Studi Ilmu dan Manajemen Pendidikan Islam Didaktik : Jurnal Ilmiah PGSD STKIP Subang Journal Informatic, Education and Management (JIEM) JURNAL ILMIAH EDUKATIF Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer An-Nahdlah: Jurnal Pendidikan Islam AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang eJournal Kedokteran Indonesia Jurnal Pendidikan Islam JURNAL ILMIAH PENDIDIKAN KEBUDAYAAN DAN AGAMA Jurnal Muara Medika dan Psikologi Klinis Jurnal Ilmiah Research Student Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Yusra
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Other

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Journal : Jurnal Teknoif Teknik Informatika Institut Teknologi Padang

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IMPLEMENTASI QUESTION ANSWERING SYSTEM TAFSIR AL-AZHAR MENGGUNAKAN LANGCHAIN DAN LARGE LANGUAGE MODEL BERBASIS CHATBOT TELEGRAM Aji Bayu Permadi; Nazruddin Safaat H; Lestari Handayani; Yusra
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.62-69

Abstract

Tafsir is a main gateway for a Muslim to study and understand the content of the verses in the Quran. One example is Tafsir Al-Azhar. Tafsir Al-Azhar is a commentary authored by Professor Dr. Hamka, which demonstrates how Dr. Hamka connects modern Islamic history with Quranic studies. Tafsir Al-Azhar has a large number of pages, requiring extra effort when searching for information within it. This research aims to create a system capable of receiving questions about Tafsir Al-Azhar in natural language and answering them in user-friendly terms. The technology used in this research includes Langchain and Large Language Models, implemented using a Telegram chatbot. Telegram was chosen for its popularity and user-friendly interface. The Question Answering system was tested using User Acceptance Testing (UAT) and the DeepEval framework. The UAT resulted in an accuracy score of 83.71%, while testing using the DeepEval framework yielded a hallucination score of 41%, contextual precision of 90%, contextual recall of 81%, and contextual relevancy of 79%.
Co-Authors Aji Bayu Permadi Allevia Yumnanisha, Defin Aprilia, Risma Aria Kekalih Batubara, Jose Bin Roslan, Jumardi Binti Atun, Mazlinah Binti Julmohammad, Norliza Christianta, David Dahlan Darul Ilmi Eka Pandu Cynthia Eka Pandu Cynthia, Eka Pandu Eliana Emeliazola Faruqi, Muhammad Febi Yanto Febi Yanto, Febi Fithri Choirun Nisa Fitri Insani Fitri Insani Herwanto Herwanto Hesti Lestari Irianti Handayani, Supri Iswantir M Iwan Iskandar Junaidi Junaidi Lawami, Reza Haya Mandalena Markarma, A. MHD Ade Setiawan Mohd Shariff, Amir Husni Muhammad Abdillah Muhammad Fikry Muhammad Iqbal Maulana Nadya, Dhifa Khairi Nazir, Alwis Nazruddin Safaat H Noval Prasetyo Nurul Huda Putra, Wahyu Eka Ramadhani Rini Sekartini Sarah Nabila Silfia Hanani Siti Nurbaya Siti Ramadhani Siti Zuhra Solly Aryza Surya Agustian Tjahjadi, Ricky Trinovita Andraini Yelfi Vitriani Yenggi Putra Dinata Zakir, Supratman Zulfani Sesmiarni