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Value Based Crisis Management in Islamic Education Management: Typology, Multidimensional Impacts, and An Integrated Model Syawal, Ahmad; Agustin, Nadilla Aleyda Maqhfira; Adzillah, Salsabila Nur Imatul; Lestari, Futry Ayu; Musdalifa
Sunan Kalijaga International Journal on Islamic Educational Research Vol. 9 No. 1 (2025)
Publisher : Pascasarjana Fakultas Ilmu Tarbiyah dan Keguruan UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/skijier.2025.91.06

Abstract

This study examines the typology of crises, their multidimensional impacts, and the urgency of crisis management within Islamic Education Management (MPI) from a value-based perspective. The research adopts a qualitative literature review methodology to systematically synthesize theoretical and empirical studies related to crisis management, Islamic educational governance, and budget efficiency. Academic publications indexed in major scholarly databases were analyzed thematically to identify crisis patterns, impact dimensions, and value-oriented management responses. The findings reveal that crises in MPI can be categorized into internal and external types, both of which are shaped by complex interactions between managerial, social, and spiritual factors. Internal crises are closely associated with leadership conflicts, moral deviations, and financial inefficiencies, particularly budget efficiency policies that marginalize core Islamic educational programs, while external crises arise from environmental uncertainty, digital public pressure, natural disasters, and regulatory changes. The impacts of these crises are inherently multidimensional, affecting academic quality, psychological well-being, social trust, and spiritual identity simultaneously. The study highlights that neglecting Islamic values in crisis management risks not only operational disruption but also long-term erosion of institutional identity and legitimacy. Theoretically, this study advances crisis management discourse by positioning spiritual values as a central analytical dimension in faith-based institutions. Practically, it underscores the need for integrated crisis management strategies that align modern managerial practices with Islamic principles. The study is limited by its reliance on secondary data and the absence of empirical case analysis. Future research is recommended to empirically test the proposed integrated model across diverse Islamic education settings and to explore its long-term implications for institutional resilience.
Burnout Akademik di Era Digital dan Persepsi Mahasiswa terhadap Peluang Pemanfaatan Artificial Intelligence untuk Deteksi Dini Wafiq, Ainun; Syawal, Ahmad; ., Ikrar; Ahmad, Zainal Arifin
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3711

Abstract

The phenomenon of academic burnout in the digital era is increasingly concerning as students face academic pressures exacerbated by intensive digital technology demands, yet no studies in Indonesia have integrated student experiences with potential AI-based solutions for early detection. This study aims to explore student experiences with academic burnout, identify digital indicators perceived as burnout markers, and analyze student perceptions of the feasibility and acceptance of AI utilization for early burnout detection. Using a qualitative approach with case study methods, data were collected through in-depth interviews and focus group discussions (FGDs) with 16 purposively selected Master's students in Islamic Education Management at UIN Sunan Kalijaga. Data analysis employed Braun & Clarke's thematic analysis using Job Demands-Resources and Technostress Model frameworks. Results indicate that student academic burnout is associated with unregulated digital activity patterns operating through four mediation mechanisms: sleep disruption, cognitive overload, social comparison, and boundary erosion. Students identify five main digital indicators: excessive screen time, notification overload, activity polarization, digital sleep disturbance, and social isolation. Regarding AI, students exhibit ambivalence: optimistic about AI's potential as an objective "digital mirror," yet demanding fulfillment of five ethical principles (algorithm transparency, informed consent, non-surveillance, privacy by design, empowerment-centered) as prerequisites for acceptance.