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All Journal Al-Majaalis : Jurnal Dirasat Islamiyah Jurnal Kajian Islam Interdisipliner
Panji Anugrah
Universitas Islam Negeri Alauddin Makassar
Religion Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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Metode Takhrij Hadis Klasik dan Modern: Studi Komparatif terhadap Prosedur dan Karakteristik Metodologis: (A Comparative Study of Procedures and Methodological Characteristics) Panji Anugrah; Imam Nugraha
Al-Majaalis : Jurnal Dirasat Islamiyah Vol 13 No 2 (2026): AL-MAJAALIS : JURNAL DIRASAT ISLAMIYAH
Publisher : Sekolah Tinggi Dirasat Islamiyah Imam Syafi'i Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37397/al-majaalis.v13i2.1411

Abstract

Hadith takhrij is a fundamental methodological process in hadith studies aimed at tracing the sources of transmission and assessing the reliability of both sanad and matan. The evolution of digital technology in recent decades has significantly influenced the practice of hadith takhrij and raised methodological questions concerning the continuity and transformation of classical approaches. This article addresses the main question of how classical and modern methods of hadith takhrij compare in terms of their procedures and methodological characteristics. Within the framework of the study of hadith scientific methodology, this research employs a qualitative library-based approach by examining classical hadith literature and contemporary academic works on digital takhrij. The discussion is conducted through a comparative analysis focusing on procedural similarities, methodological differences, and patterns of continuity and evolution between classical and modern approaches. The results imply that both methods share the same epistemological foundation in the verification of sanad and matan, while differing in operational tools and efficiency. The study argues that modern hadith takhrij does not replace classical methodology but serves as a complementary technical development. The integration of classical analytical rigor with digital efficiency provides significant added value by minimizing technical-instrumental errors in contemporary hadith verification while preserving scholarly accuracy and methodological reliability.
The Limits of Artificial Intelligence in Judicial Reasoning: Jurisprudential Analysis of Islamic Legal Authority Panji Anugrah; Ahmad Rizky Ilyas; Kurniati; Zulhas’ari Mustafa
Jurnal Kajian Islam Interdisipliner Vol. 10 No. 2 (2025)
Publisher : Sunan Kalijaga State Islamic University Yogyakarta, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/4nhp7791

Abstract

The development of Artificial Intelligence (AI) in judicial systems has raised debates regarding its limitations in judicial reasoning, particularly within the Religious Courts. Previous studies have generally examined AI from technological and administrative perspectives, while Islamic legal studies have focused more on judicial reasoning and ijtihad. However, limited research has integrated AI with the perspective of the four madhhabs in judicial reasoning. This study aims to analyze the legitimacy, limitations, and position of AI in the legal reasoning of Religious Court judges based on positive law and the perspectives of the four Islamic schools of thought. This research employs a qualitative method with a normative juridical approach through library research and document analysis of Supreme Court regulations, court decisions, classical fiqh literature, and scholarly articles related to AI and law. The findings indicate that AI may function as a supporting tool for legal data retrieval and analysis but cannot replace judges’ authority in making legal decisions. The four madhhabs consistently position humans as the primary subjects of legal determination due to their scholarly competence, moral judgment, and religious responsibility. These findings contribute to the development of legal technology studies by integrating Islamic jurisprudence perspectives into contemporary debates on AI governance in modern judicial systems.
Co-Authors Ahmad Rizky Ilyas Imam Nugraha Kurniati Zulhas’ari Mustafa