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All Journal Indonesian Journal of Mathematics and Natural Sciences Journal of Engineering and Technological Sciences Scientific Journal of Informatics JITK (Jurnal Ilmu Pengetahuan dan Komputer) SANITAS: Jurnal Teknologi dan Seni Kesehatan Journal of Soft Computing Exploration INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Journal of Advances in Information Systems and Technology
Hakim, M. Faris Al
Department Of Islamic Economic And Business, State Islamic University Of North Sumatera
Humanities Computer Science & IT Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Public Health Social Sciences

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Journal : Journal of Advances in Information Systems and Technology

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TheRêst: An Artificial Intelligence-Based Application for Digital Transformation of Qur’anic Understanding through Adaptive Tafsir and Thematic Sermons Utama, Reiki Aziz Yoga; Ilham, Ahmad Bagas Aditya; Hakim, M. Faris Al
Journal of Advances in Information Systems and Technology Vol. 7 No. 1 (2025): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v7i1.33906

Abstract

The advancement of digital technology and internet penetration has opened wide opportunities for the development of Islamic educational applications. However, most existing Qur’an applications remain static and function merely as digitized texts without adaptive features. This study introduces TheRêst, an AI-based mobile application designed to enhance Qur’anic understanding through adaptive tafsir summarization, thematic sermon generation, and contextual sermon analysis. The development followed the Agile methodology, allowing iterative design, development, and testing processes. Key features were built using Natural Language Processing (NLP) and evaluated through black-box testing and usability testing with the System Usability Scale (SUS). Functional testing confirmed that core features—such as tafsir summarization and sermon generation—performed as expected, although challenges remained in response time and long-text accuracy. Usability testing involved 20 participants, including preachers, students of Islamic studies, and general Muslim users. Results showed an average SUS score of 79.25, categorized as “Excellent,” indicating strong user acceptance and satisfaction. Qualitative feedback highlighted the clarity of the interface and the usefulness of AI-generated content, while also noting the need for faster processing. This research contributes to the field of digital Islamic education by demonstrating the feasibility of integrating AI into Qur’an applications, thus providing innovative solutions for preachers and learners. Future work will focus on refining AI models, improving performance, and adding collaborative features. Overall, TheRêst presents a significant step toward creating adaptive, user-centered digital tools that support a deeper and more contextual engagement with the Qur’an.
Co-Authors Adel S.M.A Alsaeed Ahniar, Nur Hasanah Annisa M Nasution Atika Hendryani Aulia, Muhammad Kahfi Budi Prasetiyo, Budi Damayanti, Dela Rista Faieza Abdul Aziz Gita Rindang Lestari Ilham, Ahmad Bagas Aditya Irwansyah P Marpaung Jumanto Jumanto, Jumanto Listiaji, Prasetyo Mardiansyah, M Fadil Mohd Khairol Anuar Mohd Ariffin Nurhotma Tambak Pradana, Fadli Dony Pratama, Rizka Nur Rawat, Bibek Reynaldi, Reynaldi Rinda Nur Hidayati Riski Ihsan S.Pd. M Kes I Ketut Sudiana . Shamsuddin Sulaiman Subhan Subhan Subhan Subhan Syafrizal, Wahyu Utama, Reiki Aziz Yoga Wicaksono, Suntoro Widya Pangestika Wijaya, Dandi Indra Yahya Nur Ifriza