Takhrīj al-Ḥadīs Digital: Tantangan Epistemologis Penggunaan Basis Data Hadis dalam Verifikasi Riwayat
DOI:
https://doi.org/10.64691/nizamiyah.v1i4.124Keywords:
Takhrīj al-Ḥadīs; Digital; Epistemology of Hadith; Database; Scientific Authority; ʻUlūm al-ḤadīsAbstract
The development of information technology has driven a significant shift in the practice of hadith retrieval, from manual searches based on classical texts to the use of digital hadith databases that offer speed, accessibility, and ease of search. This shift, while providing methodological efficiency, raises complex epistemological issues, particularly regarding the validity of knowledge, scholarly authority, and the relationship between classical hadith methods and computational logic. This study aims to critically analyze the use of digital hadith databases in the process of narration verification, highlighting the accompanying epistemological implications. The study uses a qualitative-analytical method through an epistemological approach, supported by a review of classical and contemporary literature, as well as a critical analysis of a number of digital hadith platforms widely used in hadith studies. The results of the study indicate a shift in scientific authority from the individual competence of muḥaddith to technological authority that relies on data structures and algorithm design, the limitations of search algorithms in representing the complexity of sanad and matn, the fragmentation of the scientific context of hadith due to the separation of narration from its historical and methodological framework, and the fundamental tension between the evaluative-qualitative epistemology of ʻulūm al-Ḥadīs and the quantitative and reductionist digital logic. These findings confirm that digital hadith databases cannot yet replace the critical function of classical methodology, but rather act as supporting instruments that require a strict epistemological framework. Academically, this study has implications for the need to develop an integrative takhrīj model that synergizes traditional scientific authority with digital technology critically and reflectively in the digital era.
References
‘Itr, N. al-D. (1997). Manhaj Al-Naqd Fī ‘Ulūm Al-Ḥadīṡ. Damaskus: Dār al-Fikr al-Mu’āsarah.
Abdi, A., Hasan, S., Arshi, M., Shamsuddin, S. M., & Idris, N. (2020). A question answering system in hadith using linguistic knowledge. Computer Speech & Language, 60, 101023. https://doi.org/10.1016/j.csl.2019.101023
Abdulrahman, M. A. (2024). The Future of Hadith Studies in the Digital Age: Opportunities and Challenges. Journal of Ecohumanism, 3(8), 2792–2800. https://doi.org/10.62754/joe.v3i8.4927
Adelia, N., Wahid, A., Alif, M., & Andaluzi, F. (2025). Digital Takhrij Hadith as Islamic Digital Humanities. Digital Muslim Review, 3(1), 83–96. https://doi.org/10.32678/dmr.v3i1.68
Al-A‘zami, M. M. (1990). Manhaj al-Naqd ‘Inda al- Muhaddiṡīn. Saudi Arabia: Maktabah al-Kawṡar.
Al-Khatib, M. A. (2019). Usul al-Hadis. Beirut: Dar al-Fikr.
Al-Qāsimī, M. J. bin M. S. bin Q. (1993). Qawā’id al- Taḥdīṡ min Funūn Muṣṭalaḥ al-Ḥadīṡ. Beirūt: Dār al-Kutb al-‘Ilmiyyah.
Al-Ṭaḥḥān, M. (1984). Taysīr Muṣṭalaḥ al-Ḥadīṡ. Kuwait: Dār al-Turāṡ.
Al-Ṭaḥḥān, M. (1991). Uṣūl al-Takhrīj wa Dirāsat al-Asānīd. Riyad: Maktabah al-Ma’rifah.
Alsuhaim, A. F., Azmi, A. M., & Hussain, M. (2021). Improving the Retrieval of Arabic Web Search Results Using Enhanced k-Means Clustering Algorithm. Entropy, 23(4), 449. https://doi.org/10.3390/e23040449
Azmi, A. M., Al-Qabbany, A. O., & Hussain, A. (2019). Computational and natural language processing based studies of hadith literature: a survey. Artificial Intelligence Review, 52(2), 1369–1414. https://doi.org/10.1007/s10462-019-09692-w
Baiyere, A., Salmela, H., & Tapanainen, T. (2020). Digital transformation and the new logics of business process management. European Journal of Information Systems, 29(3), 238–259. https://doi.org/10.1080/0960085X.2020.1718007
Bakke, A. (2020). Everyday Googling: Results of an Observational Study and Applications for Teaching Algorithmic Literacy. Computers and Composition, 57, 102577. https://doi.org/10.1016/j.compcom.2020.102577
Bhatia, S., & Aka, A. (2022). Cognitive Modeling With Representations From Large-Scale Digital Data. Current Directions in Psychological Science, 31(3), 207–214. https://doi.org/10.1177/09637214211068113
Creel, K. A. (2020). Transparency in Complex Computational Systems. Philosophy of Science, 87(4), 568–589. https://doi.org/10.1086/709729
Farooqi, A. M., Malick, R. A. S., Shaikh, M. S., & Akhunzada, A. (2024). Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD. Data in Brief, 54, 110439. https://doi.org/10.1016/j.dib.2024.110439
Harahap, A. P., Syahriza, R., & Faza, A. M. (2024). The Transformation of Understanding Hadith in the Post-Multimedia Era: Balancing Technological Advancements with Tradition Preservation. Jurnal Living Hadis, 9(2), 1–21. https://doi.org/10.14421/livinghadis.2024.5798
Huang, H., Wang, H., & Sun, M. (2020). Incomplete data classification with view-based decision tree. Applied Soft Computing, 94, 106437. https://doi.org/10.1016/j.asoc.2020.106437
Ismail, M. S. (2007). Metodologi Penelitian Hadis Nabi. Jakarta: PT Bulan Bintang.
Lin, Z. (2025). Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. PLOS ONE, 20(1), e0309741. https://doi.org/10.1371/journal.pone.0309741
Lisboa, P. J. G., Saralajew, S., Vellido, A., Fernández-Domenech, R., & Villmann, T. (2023). The coming of age of interpretable and explainable machine learning models. Neurocomputing, 535, 25–39. https://doi.org/10.1016/j.neucom.2023.02.040
Mohd Noor Shah, N. F., Doll Kawaid, A. I. S., Marhusin, M. F., Mohd Amin, M. Z., Azman, N., Syed Hassan, S. N., … Aris, H. (2023). Students’ Perception Towards The Use Of I-Status Hadith Ms Word Add-In To Improve Academic Writing. Journal Of Hadith Studies, 8(2), 184–190. https://doi.org/10.33102/johs.v8i2.271
Muhammadong, M. (2025). Analysis the Prospects of Hadith and Ulum Al-Hadith in Tracking the Authenticity of the Hadith on Digital Based. Middle East Journal of Islamic Studies and Culture, 5(1), 1–7. https://doi.org/10.36348/mejisc.2025.v05i01.001
Najiyah, N. L. N. N., & Putriani, R. (2024). Transformation of Hadith Study in the Digital Era: an Effectiveness of Hadith Applications and Websites. Mashdar: Jurnal Studi Al-Qur’an Dan Hadis, 6(1), 27–42. https://doi.org/10.15548/mashdar.v6i1.7882
Nel, M. J. (2025). The hermeneutical challenge of reading digital biblical texts in Africa. HTS Teologiese Studies / Theological Studies, 81(2), 1–8. https://doi.org/10.4102/hts.v81i2.10696
Saloot, M. A., Idris, N., Mahmud, R., Ja’afar, S., Thorleuchter, D., & Gani, A. (2016). Hadith data mining and classification: a comparative analysis. Artificial Intelligence Review, 46(1), 113–128. https://doi.org/10.1007/s10462-016-9458-x
Sembiring, M. I., & Manik, Z. (2025). INSTAGRAM AS A STAGE FOR PREACHING: Exploring the Values of Hadith in Buya Syakur’s Sufi Advice. TAJDID: Jurnal Ilmu Ushuluddin, 24(1), 50–79. https://doi.org/10.30631/tjd.v24i1.567
Siregar, U. N. (2025). Penggunaan AI dan Big Data dalam Pembelajaran Nilai-Nilai Al-Qur’an dan Hadis di Madrasah. Arba: Jurnal Studi Keislaman, 1(3), 160–175. https://doi.org/10.64691/arba.v1i3.13
Sulistio, B., Ramadhan, A., Abdurachman, E., Zarlis, M., & Trisetyarso, A. (2024). The utilization of machine learning on studying Hadith in Islam: A systematic literature review. Education and Information Technologies, 29(5), 5381–5419. https://doi.org/10.1007/s10639-023-12008-9
Symons, J., & Alvarado, R. (2022). Epistemic injustice and data science technologies. Synthese, 200(2), 87. https://doi.org/10.1007/s11229-022-03631-z
Trinidad, M. G., Ryan, K. A., Krenz, C. D., Roberts, J. S., McGuire, A. L., De Vries, R., … Spector-Bagdady, K. (2023). “Extremely slow and capricious”: A qualitative exploration of genetic researcher priorities in selecting shared data resources. Genetics in Medicine, 25(1), 115–124. https://doi.org/10.1016/j.gim.2022.09.003
Umanah, R. (2024). The Digital Era of Hadith: Challenges of Authenticity and Opportunities for Innovation. Al-Iftah: Journal of Islamic Studies and Society, 5(2), 136–148. https://doi.org/10.35905/aliftah.v5i2.12647
Zahw, M. A. (1958). al-Ḥadīṡ wa al-Muḥaddiṡūn. Mesir: Dār al-Fikr.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Mery Agustina, Idris Siregar, Muhammad Arif Yasin Bintang, Masliani & Fatiya Nidaulhaq

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.











