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All Journal Inkubis: Jurnal Ekonomi dan Bisnis Jurnal Teknik Informatika dan Teknologi Informasi
Wildan Maulana Assani Mualim
Institut Pemerintahan Dalam Negeri
Computer Science & IT Economics, Econometrics & Finance

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Comprehensive Cybersecurity Framework for Digital Governance: Threat Assessment, Risk Mitigation, and Regulatory Compliance in Indonesia Wildan Maulana Assani Mualim; Fitri Yul Dewi Marta; Ira Meiyenti
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6379

Abstract

Digital transformation of government administration brings significant benefits in improving public service efficiency and citizen access to information. However, digitalization also opens opportunities for increasingly complex and organized cyber threats. This journal explores a comprehensive cybersecurity framework for digital governance through an extensive literature review that includes threat assessment, risk mitigation strategies, and regulatory compliance analysis. This research analyzes international frameworks (NIST CSF 2.0, ISO/IEC 27001:2022, COBIT 2019), Indonesian national standards (Law No. 1 of 2024 on Information and Electronic Transactions, SPBE, BSSN), and best practices in incident response and Zero Trust Architecture. Results demonstrate that government cybersecurity requires a holistic approach integrating technical aspects, policy, human resources, and governance. This journal recommends implementing a comprehensive cybersecurity framework, enhancing human capital capacity, adopting cutting-edge technology, and fostering inter-institutional coordination to build sustainable cybersecurity resilience for government entities.
The Efficiency-Equity Frontier: Optimal Allocation of Village Funds In Indonesia's Decentralized Governance Framework Wildan Maulana Assani Mualim; Ira Meiyenti; Arina Romarina; Ardieansyah Ardieansyah
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 1 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i1.169

Abstract

Background: Indonesia's Village Fund (Dana Desa) has disbursed Rp 608.9 trillion (≈ USD 35.8 billion) to 75,753 villages since 2015, yet whether this fiscal transfer simultaneously advances efficiency and equity in rural development remains an open empirical question. Spatial interdependencies among villages and heterogeneous local institutional capacities are rarely accounted for in existing evaluations. Objective: This study examines how Village Fund allocations navigate the efficiency–equity trade-off across Indonesian villages, quantifies spatial spillover effects on regional development outcomes, and develops evidence-based allocation algorithms to simultaneously advance efficiency and equity. Methods: We apply a Bayesian Spatial Durbin Model integrated with Generalized Random Forests to a balanced panel of 674,649 village-year observations (2015–2023). Identification draws on difference-in-differences with propensity score matching, regression discontinuity at population thresholds, and instrumental variables using pre-treatment geographic characteristics. Results: A 1% increase in Village Fund allocation reduces rural poverty by 0.152–0.183%, though this effect is contingent on local institutional capacity, with significantly larger gains among villages exceeding a capacity threshold of 0.65. Significant spatial spillovers (β = −0.089) indicate that investment in each village generates indirect poverty-reducing benefits for neighboring villages.The model explains 42.3% of outcome variation (R² = 0.423). Conclusions: The Village Fund considerably reduces rural poverty, but effectiveness is circumscribed by local institutional capacity—not merely village or fund size. Policymakers should prioritize capacity-building before scaling up allocations, and adopt performance-based formula adjustments that capitalize on spillover dynamics across village clusters.
Co-Authors Arina Romarina Fitri Yul Dewi Marta Ira Meiyenti