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Legito
Universitas Tjut Nyak Dhien
Computer Science & IT Decision Sciences, Operations Research & Management

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Rekonfigurasi Kinerja Sektor Publik melalui Literasi Data Strategis: Model Operasionalisasi Berbasis Kompetensi dalam Kerangka Data-Driven Governance Legito; Muhammad Dicky Syahputra Lubis; Nurul Afni
Jurnal Manajemen Sistem Informasi (JMASIF) Vol. 5 No. 1 (2026): April 2026
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/jmasif.v5i1.721

Abstract

Digital transformation has reshaped public sector governance toward data-based decision-making that is measurable, accountable, and outcome-oriented. Data functions as a central foundation in planning, policy formulation, and performance evaluation. Such transformation requires strengthening strategic data literacy as a core competency of public officials in identifying, understanding, utilizing, communicating, and ethically reflecting on data use. This study applies a quantitative approach with an explanatory research design and Partial Least Squares–Structural Equation Modeling (PLS-SEM) using a hierarchical component model. Strategic Data Literacy is modeled as a third-order construct formed by five formative dimensions, while Public Sector Performance is measured reflectively through indicators of efficiency, effectiveness, and service equity. Empirical results indicate a positive and significant effect of strategic data literacy on public sector performance (β = 0.61; p < 0.001), with an R² value of 0.54. Data utilization and data understanding emerge as dominant dimensions in strengthening organizational analytical capacity. Findings demonstrate that a competency-based operationalization model supports the reconfiguration of public sector performance within a structured data-driven governance framework.
Co-Authors Muhammad Dicky Syahputra Lubis Nurul Afni