Vol. 4 No. 1 (2026): VOLUME 4, NO 1: OCTOBER 2026

This issue will be available online on October 2026 for the regular issue of October 2026. All articles in this issue (9 original research articles) were authored/co-authored by 35 authors from 5 countries (Taiwan, Türkiye, Thailand, Malaysia, Indonesia)

DOI: https://doi.org/10.62123/enigma.v4i1

Published: 2026-10-31

Articles

Digital Integration of Zakat Management Systems in Islamic Fiscal Policy: An Evidence-Based Conceptual Framework

Muharman Lubis, Yadi Janwari, Sofian Al Hakim, Egi Al Fansyah, Brial Asif Hayi Paka

84-101
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Financial Inclusion and Institutional Resilience in AI-Driven Islamic Finance: A Contract-Based Risk Governance Framework

Muharman Lubis, Iwan Setiawan, Dudang Gojali, Egi Al Fansyah, Sahidan Abdulmana

64-83
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A Dempster-Shafer-Based Expert System for Personalized Higher Education Major Recommendation

Rahmat Widia Sembiring, Ramadhanu Ginting, Afrisawati Afrisawati, Fristi Riandari, Indri Sulistianingsih

55-63
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A STRIDE-Based Threat Taxonomy for Digital Showcase Platforms in Vocational Higher Education

Donny Sanjaya, Indri Sulistianingsih, Rizka Salsabila Riadi, Jen-Peng Huang, Chairul Rizal

46-54
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Analysis of the Role of DCIM in Energy Optimization for Data Centers in Indonesia

Muhammad Fuady, Teguh Kurniawan, Basuki Rahmad

41-45
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Multi-Browser Compatibility Evaluation of a CDN-Based Accessibility Plugin Following the WCAG 2.1 Standard

Jonathan Arya Wibowo, Muharman Lubis, Rio Guntur Utomo, Aryo Pradipta Ramadhan, Amanda Bunga Gracia, Septiana Yustika Widyaningrum

33-40
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Traceable Privacy and Cybersecurity Compliance Control Baseline for Indonesian Academic Information Systems

Yudhi Nugroho Adi, Nurwanto Ade Setiawan, Nendi Isharmawan, Muhammad Farrell Alaric Zada, Muharman Lubis

18-32
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Privacy and Data Protection Governance for Implementing Indonesia’s Personal Data Protection Law (Law No. 27/2022): A Structured Literature Review

Deni Sulaeman, Ferri Fatra, M. Galih Fikran Syah, Ilman Manarul Qori, Muharman Lubis

8-17
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Comparison of Machine Learning Methods for Student Graduation Prediction

Nina Padmasari, Aisyah Rahmani Putri

1-7
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