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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Eksakta : Berkala Ilmiah Bidang MIPA Zonasi: Jurnal Sistem Informasi Jurnal Computer Science and Information Technology (CoSciTech) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer
Surya Agustian
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering

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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

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Implementasi Question Answering Berbasis Chatbot Telegram Pada Tafsir Al-Jalalain Menggunakan Langchain dan LLM Febrian Rizki Adi Sutiyo; Harahap, Nazruddin Safaat; Surya Agustian; Reski Mai Candra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1784

Abstract

Technological developments are very important for efficient, accurate and fast information retrieval. Tafsir Al-Jalalain is one of the famous Tafsir Al-Qur’an, and is used as a source of life guidance for muslims. To get information about tafsir, you can go through information media such as the internet or from experts in Tafsir Al-Qur’an. However, to get information it takes a lot of time to filter the information efficiently, accurately and quickly. This problem requires a system that is able to answer human questions accurately, effectively and quickly. In this research, it is hoped that the implementation of telegram Chatbot-based Question Answering using Langchain and LLM will be a solution for providing information on Tafsir Al-Jalalain that is accurate, effective and fast. The Question Answering system will carry out learning on the Tafsir Al-Jalalain data using a language model, namely the Large Language Model, so that it is expected to be able to provide accurate, effective and fast information. The evaluation results of the research by distributing questionnaires to students majoring in Al-Qur'an and Tafsir Science at UIN SUSKA Riau, as many as seven respondents, obtained a percentage of 84.29%
Co-Authors Benny Sukma Negara Fauzan Ray T Febi Yanto Febrian Rizki Adi Sutiyo Ihsan, Miftahul Iis Afrianty Iman Fauzi Aditya Sayogo Jasril Jasril Muhammad Fikry Muhammad Iqbal Maulana Nazruddin Safaat H Nazruddin Safaat H Novriyanto Nurul Fatiara Pizaini Reski Mai Candra Safrizal, Afri Naldi Saputra, M Ridho Siti Ramadhani Sri Puji Utami A. Yusra