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Digital Transformation in Public Administration: Challenges and Opportunities in Indonesian Government Agencies Syafaruddin Syafaruddin; Andi Riska Andreani Syafaruddin; Nurasia Natsir
Harmony Management: International Journal of Management Science and Business Vol. 3 No. 1 (2026): International Journal of Management Science and Business
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/harmonymanagement.v3i1.525

Abstract

The digital transformation of public administration represents a critical pathway toward modernizing governance, enhancing service delivery, and improving transparency in Indonesian government agencies. This study examines the current state of digital transformation initiatives across various levels of government in Indonesia, identifying key challenges and opportunities in implementing digital technologies within bureaucratic structures. Through a convergent parallel mixed-methods design combining surveys of 245 government officials from 32 agencies and in-depth interviews with 28 digital transformation leaders, this research reveals that while Indonesian government agencies have made significant progress, substantial barriers remain including limited digital infrastructure in remote regions, resistance to organizational change, insufficient digital literacy among civil servants, and inadequate legal frameworks. The overall mean maturity score was 2.87 (SD = 0.74), placing the average agency in the 'developing' category, with only 6% reaching the 'optimizing' level. The study identifies critical success factors: strong leadership commitment (β = 0.38, p < 0.001), citizen-centric design, comprehensive change management, and effective public-private partnerships. Findings indicate that successful digital transformation requires not merely technological adoption but fundamental organizational restructuring and cultural shifts toward data-driven decision-making and collaborative governance. Policy recommendations address digital infrastructure investment, human capital development, governance reform, and shared platform utilization. This research contributes to theoretical understanding of digital government in developing nations and provides practical guidance for policymakers navigating the complexities of public sector digitalization.
A Phased Model for Data-Driven Teacher Performance Management Using Educational Analytics in Indonesia Irmawati Thahir; Nurasia Natsir
AL-ISHLAH: Jurnal Pendidikan Vol 18, No 1 (2026): MARCH 2026
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v18i1.9459

Abstract

Empirical evidence on data-driven teacher performance management in resource-constrained contexts remains limited, particularly in Eastern Indonesia. This study examines the transition from traditional to data-driven performance management in secondary schools in Makassar City. A concurrent embedded mixed-methods design was employed, prioritizing quantitative data with qualitative insights to explain contextual dynamics. The sample comprised 113 teachers (94.2% response rate) and 15 principals from 15 purposively selected schools categorized as adopters, transitional, or traditional. Teacher performance was measured across four domains: lesson planning, instructional delivery, assessment, and professional conduct. Validated questionnaires (α 0.87; CFI = 0.96, RMSEA = 0.048) were analyzed using t-tests and ANOVA with effect sizes and assumption checks. Qualitative data from interviews, focus groups, and observations were thematically analyzed and integrated. Traditional approaches predominated (67%). Adopter schools (33%) scored significantly higher across all performance management dimensions (p 0.001). Teachers in adopter schools demonstrated a 23% higher mean performance score over one academic year (F = 18.45, p 0.001, η² = 0.25). Key enabling factors included leadership, digital infrastructure, and data literacy, while barriers comprised resistance to change, budget limitations, and competency gaps. Although findings are associational due to the cross-sectional design, results suggest that data-driven systems are linked to improved teacher performance. The study proposes a phased implementation model—awareness, capacity building, piloting, scaling, and institutionalization—tailored to resource-constrained settings.