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All Journal Syaikhuna: Jurnal Pendidikan dan Pranata Islam STAI Syaichona Moh. Cholil Bangkalan Women, Education, and Social Welfare
Untung Famuji
Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Integrated Tafsir–Qur’anic Sciences Module for Qur’anic Literacy in a Female-Majority Pesantren Yusri Yaldi; Wedra Aprison; Yelfi Dewi S; Untung Famuji; Muhammad Safdar Bhatti
Women, Education, and Social Welfare Vol. 3 No. 3 (2026): July - September 2026 | Women, Education, and Social Welfare
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/wesw.v3i3.520

Abstract

Teaching Tafsir separately from Qur’anic Sciences (‘Ulumul Qur’an) can leave students able to reproduce meanings without routinely applying the interpretive principles that justify them. This study developed and evaluated an integrated Tafsir–‘Ulumul Qur’an module for grade XII students in a female-majority Indonesian pesantren. A one-cycle Four-D Research and Development design was combined with a nonrandomized classroom outcome comparison. Evidence included curriculum documents, observation and interview sources, expert appraisal by six validators, practicality responses from six educators and 55 students, and learning outcomes from two classroom cohorts (18 existing-instruction and 20 module students). The 55-student practicality set and 38-student outcome set were distinct analytic samples rather than an attrition sequence. The 32-indicator expert appraisal produced an overall Aiken’s V of 0.857. Educator and student practicality indices were 0.905 and 0.877, and the reported student N-gain was 0.739. Final scores were higher in the module cohort (M = 73.95, SD = 15.81) than in the comparison cohort (M = 56.17, SD = 13.07), with a mean difference of 17.78 points (95% CI [8.27, 27.29]), Welch’s t(35.76) = 3.79, p = 0.0006, and d = 1.22. Because random allocation and group-specific baseline equivalence were not documented, the between-group result is interpreted as preliminary evidence rather than a causal effect. The module’s main contribution is an infusive-complementary architecture that embeds contextual, structural, and methodological Qur’anic Sciences into aligned Tafsir tasks and assessment.
Urban Muslim Professionals' Acceptance of AI-Generated Fatwas: A Socio-Technical Analysis in Indonesia Swandaru Pradika Wardana; Addul Basit; Untung Famuji; Ahmed Abdul Malik
Syaikhuna: Jurnal Pendidikan dan Pranata Islam Vol 17 No 02 (2026): October
Publisher : STAI Syaichona Moh. Cholil Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62730/syaikhuna.v17i2.7883

Abstract

This study investigates the social acceptance of AI-generated fatwas among urban Muslim professionals in Indonesia and examines associated cultural implications for Islamic jurisprudence. Employing an explanatory sequential mixed-methods design, the research combines quantitative data from 450 urban Muslim professionals analyzed via PLS-SEM with qualitative insights from 25 semi-structured interviews. The structural model accounts for 58.4% of the variance in social acceptance (R² = 0.584). Perceived algorithmic credibility has a strong direct positive effect on acceptance (β = 0.465, p < 0.001), but trust in traditional institutions significantly suppresses it (β = -0.218, p < 0.001). Multi-group analysis reveals sharp domain-based divergence: automated verdicts are resisted in ritualistic matters (ibadah), yet highly accepted in financial and social affairs (muamalah) (Δβ = 0.331, p < 0.01). Qualitatively, urban professionals leverage AI for 'frictionless religiosity' and 'epistemological arbitrage' to bypass traditional gatekeepers, raising concerns regarding the flattening of localized customary laws ('urf) and the severing of human transmission lineages (isnad). The study conceptualizes a paradigm shift toward 'Algorithmic Authority' while emphasizing that institutional trust remains a powerful countervailing force. Findings point to an urgent socio-technical synthesis in which ulema councils and technology developers collaborate on ethical AI frameworks that preserve human oversight and contextual empathy.
Co-Authors Addul Basit Ahmed Abdul Malik Muhammad Safdar Bhatti Swandaru Pradika Wardana Wedra Aprison Yelfi Dewi S Yusri Yaldi