EMasjid, Islamic Chatbot Application With RAG (RetrievalAugmented Generation)
DOI:
https://doi.org/10.33474/infotron.v5i1.22894Keywords:
Religious Chatbot, Religious Understanding, RAG (Retrieval-Augmented Generation), AI (Artificial Intelligence)Abstract
The development of a religious chatbot is crucial for fostering good understanding and mitigating potential social conflicts arising from religious misunderstandings. This study introduces the Intelligent Religious Assistant ChatBot, developed using the Retrieval-Augmented Generation (RAG) method within a Large Language Model (LLM). RAG combines information retrieval from authoritative sources integrated into a database with text generation to produce user-specific answers. The application has been fully developed and performance-tested, demonstrating its capability to provide accurate and contextually appropriate answers based on authoritative Islamic references endorsed by major Indonesian Islamic organizations, including Nahdlatul Ulama, Muhammadiyah, and the Indonesian Ulema Council (MUI).
References
S. Rohman and S. Nurhasanah, “Paham Radikalisme Berdasarkan Perspektif Agama,” Journal OF Terrorism Studies, vol. 1, no. 1, pp. 18–32, 2019.
Nurjannah, “Faktor Pemicu Radikalisme Islam Atas Nama Dakwah,” Dakwah, vol. XIV, no. 2, pp. 177–198, 2013, [Online]. Available: https://ejournal.uin-suka.ac.id/dakwah/jurnaldakwah/article/view/2013.14202/260
P. R. Center, “Globally, Social Hostilities Related to Religion Decline in 2019, While Government Restrictions Remain at Highest Levels,” Pew Research Center. Accessed: Nov. 20, 2024. [Online]. Available: https://www.pewresearch.org/religion/2021/09/30/globally-social-hostilities-related-to-religion-decline-in-2019-while-government-restrictions-remain-at-highest-levels/
H. R. Kuncoro, D. Lupitasari, K. Hasanah, and E. Kurniawati, Mengurai Ancaman Sekuritisasi Melalui Lensa Framing Dan Diskursus Di Media Sosial, 1st ed., vol. 1, no. 1. LPPM UPNVY Press, 2023. [Online]. Available: http://scioteca.caf.com/bitstream/handle/123456789/1091/RED2017-Eng-8ene.pdf?sequence=12&isAllowed=y%0Ahttp://dx.doi.org/10.1016/j.regsciurbeco.2008.06.005%0Ahttps://www.researchgate.net/publication/305320484_SISTEM_PEMBETUNGAN_TERPUSAT_STRATEGI_MELESTARI
O. Lutfi and J. Jumino, “Peran Perpustakaan Nasional Republik Indonesia dalam Penyediaan Sumber Daya Informasi Elektronik sebagai Upaya Mengatasi Infodemi pada Masa Pandemi Covid-19,” ANUVA, vol. 6, no. 2, pp. 141–162, 2022, [Online]. Available: https://ejournal2.undip.ac.id/index.php/anuva/article/view/14390/7371
Nurhapiza, N. S. Harahap, M. Fikry, and M. Affandes, “Penerapan Chatbot pada Aplikasi Web Tanya Jawab Tentang Fiqih,” Journal of Computer System and Informatics (JoSYC), vol. 5, no. 3, pp. 548–557, 2024, doi: 10.47065/josyc.v5i3.5148.
N. Nabila, E. I. Pramesti, and A. Sudaryanto, “Pengaruh Penerapan G-Suite bagi Perkembangan Pembelajaran di SMAN 1 Kalidawir Sidoarjo,” Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP), vol. 3, no. 4, pp. 329–332, Apr. 2021, doi: 10.24036/jmiap.v3i4.366.
R. N. T. N. S. P. N. A. A. A. M. Urva, “Dinamika Pembelajaran Pendidikan Agama Islam Berbasis Artificial Intelligence (AI),” Sentikjar, vol. 3, pp. 1–7, 2024, doi: 10.47435/sentikjar.v3i0.3131.
M. F. Zulrahman and H. Syahputra, “PEMANFAATAN ARTIFICIAL INTELLIGENCE MARKUP LANGUAGE (AIML) DAN LATENT SEMANTIC ANALYSIS (LSA) DALAM PENGEMBANGAN CHATBOT E-EDUCATION,” Journal of Information Technology and Computer Science (INTECOMS), vol. 6, no. 1, pp. 36–43, 2023, [Online]. Available: https://journal.ipm2kpe.or.id/index.php/INTECOM/article/view/5459/3295
J. F. Yusuf and R. Destiwati, “PENGARUH GADGET TERHADAP PERILAKU ANAK SELAMA MASA PANDEMI COVID-19 PADA SISWA KELAS 2 – 4 DI SEKOLAH DASAR ISLAM TERPADU ANNI’MAH,” e-Proceeding of Management , vol. 8, no. 5, 2021, [Online]. Available: https://annimah.sch.id
A. Sudaryanto et al., “Learning number game with interactive projection for students of Sepuluh Nopember Surabaya Kindergarten,” KACANEGARA Jurnal Pengabdian pada Masyarakat, vol. 6, no. 4, p. 481, Nov. 2023, doi: 10.28989/kacanegara.v6i4.1681.
A. Sudaryanto, K. Fathoni, R. Y. Hakkun, and F. Revindasari, “Peningkatan Kesadaran Kebersihan elalui Game ‘ Habertan ’ pada Siswa Siswi Pesantren Muhyiddin Gebang Putih , Sukolilo , Surabaya,” JURPIKAT, vol. 5, no. 4, pp. 1425–1440, 2024, doi: https://doi.org/10.37339/jurpikat.v5i4.2032.
M. F. Hasan, F. N. Fajri, and M. Muafi, “Game Edukasi Simulasi Pengenalan Reaksi Unsur Kimia Dengan Lingkungan Berbasis Virtual Reality,” NJCA (Nusantara Journal of …, vol. 9, no. 1, pp. 10–18, 2024, doi: http://dx.doi.org/10.36564/njca.v9i1.365.
I. Ichsanudin, R. Pratama, and B. Sisephaputra, “Pengembangan Sistem Helpdesk Menggunakan Chatbot Dengan Metode Retrieval-Augmented Generation ( RAG ),” JINACS, vol. 06, no. 03, pp. 696–710, 2024, [Online]. Available: https://ejournal.unesa.ac.id/index.php/jinacs/article/view/64408/48747
Muhammad Irfan Syah, Nazruddin Safaat Harahap, Novriyanto, and Suwanto Sanjaya, “Penerapan Retrieval Augemented Generation Menggunakan Langchain Dalam Pengembangan Sistem Tanya Jawab Hadis Berbasis Web,” ZONAsi: Jurnal Sistem Informasi, vol. 6, no. 2, pp. 370–379, 2024, doi: 10.31849/zn.v6i2.19940.
A. R. Ramadhan, “Phenomena Of Chatbot Artificial Intelligence And Its Impact On Islamic Religious Education,” in 4rd UIN Imam Bonjol International Conference on Islamic Education, 2023, p. 67. [Online]. Available: https://ibicie.uinib.ac.id/index.php/ibicie/article/view/62%0Ahttps://ibicie.uinib.ac.id/index.php/ibicie/article/download/62/59
P. Lewis et al., “Retrieval-augmented generation for knowledge-intensive NLP tasks,” Adv Neural Inf Process Syst, vol. 2020-Decem, no. NeurIPS, 2020.
G. Izacard and E. Grave, “Leveraging passage retrieval with generative models for open domain question answering,” in EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Association for Computational Linguistics, 2021, pp. 874–880. doi: 10.18653/v1/2021.eacl-main.74.
V. Karpukhin et al., “Dense passage retrieval for open-domain question answering,” in Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, 2020, pp. 6769–6781. doi: 10.18653/v1/2020.emnlp-main.550.
A. A. Rahmadi and A. Sudaryanto, “Visual Recognition Of Graphical User Interface Components Using Deep Learning Technique,” Jurnal Ilmu Komputer dan Informasi, vol. 13, no. 1, p. 35, 2020, doi: 10.21609/jiki.v13i1.845.
Muhammad Fatih Yordani and Aris Sudaryanto, “Pengujian Sistem Monitoring Listrik Berbasis NodeMCU Menggunakan Blackbox Testing,” Infotron, vol. 1, no. 1, pp. 6–15, 2021, doi: https://doi.org/10.33474/infotron.v1i2.11331.
Achmad Azrul Dean Haris, A. Sudaryanto, and D. H. Sulistyawati, “Uji Fungsional Sistem Pengukur Suhu Tubuh Berbasis Arduino Dengan Metode Blackbox Testing,” INFOTRON, vol. 1, no. 1, pp. 31–35, May 2021, [Online]. Available: www.journal.unisma.ac.id:8080/index.php/infotron
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Copyright (c) 2025 Kholid Fathoni, Aris Sudaryanto, Iwan Syarif, Zakha Maisat Eka Darmawan, Andhik Ampuh Yunanto, Prasetyo, Rendra Suprobo Aji , Aryazaky Iman Fauzy, Rizky Yuniar Hakkun
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