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All Journal At Turots: Jurnal Pendidikan Islam
Roby Romadany
Universitas Pamulang

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A Data-Based Information System for Credit Risk Management in Banking Education Roby Romadany; Fajar Santoso; Bhenu Arthac
At Turots: Jurnal Pendidikan Islam Vol. 8 No. 1 Juni (2026): At Turots: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Madani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51468/jpi.v8i1.1229

Abstract

This study designs, implements, and validates a high-fidelity Data‑Based Information System for Credit Risk Management (CRIS) as an educational simulation to close the mismatch between banking industry needs and current tertiary banking curricula. The purpose of the study to develop an industry‑realistic CRIS prototype that embeds event‑driven architecture, feature stores, explainable AI, and real‑time predictive analytics into classroom practice so students acquire the technical, regulatory, and decision‑making competencies required for modern credit risk management. This research uses a design‑based research (DBR) approach guided iterative prototype development.  A DBR‑driven, event‑aware CRIS simulation is an effective educational intervention to align banking education with the technical and governance demands of contemporary credit risk management.
Artificial Intelligence and Islamic Educational Management: A Theoretical Review for School Education Roby Romadany; Fajar Santoso; Bhenu Arthac
At Turots: Jurnal Pendidikan Islam Vol. 8 No. 1 Juni (2026): At Turots: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Ilmu Tarbiyah Madani Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51468/jpi.v8i1.1283

Abstract

Artificial Intelligence (AI) is reshaping educational management by augmenting decision-making, optimizing administrative processes, and enabling learner-centered ecosystems aligned with Education 4.0 paradigms. Systematic evidence from higher education shows AI integration is approaching an inflection point comparable to the internet’s arrival, with broad institutional implications for strategy, governance, and resource allocation. This study aims to analyze the relationship between artificial intelligence and educational management. A theoretical literature review is conducted and a conceptual framework for additional research is offered in order to achieve the goals and objectives of the study. In the current research, the authors consider the sales of educational management as dependent variable affected by AI. The promise of AI is inseparable from its challenges. Issues of bias, fairness, data privacy, and ethical accountability require robust governance frameworks and human oversight. Sustainable adoption depends on infrastructure modernization, capability-building, and inclusive design practices that ensure equitable access and avoid widening digital divides. AI in educational management is best understood as a dual empowerment process: it strengthens both educational outcomes and institutional performance, provided leaders invest in governance, infrastructure, and talent development.
Co-Authors Bhenu Arthac Bhenu Arthac Fajar Santoso Fajar Santoso