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Determinants of Regional Economic Growth in Java Island: an Analysis of Capital Expenditure, General Allocation Funds, and Labor Using a Fixed Effect Model (2020–2024) Ramadhan, Muhammad Daffarezel; Ahmad, Rifat; Mualim, Wildan Maulana Assani; Kayame, Markus; Romarina, Arina
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 5 No. 2: Januari 2026
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v5i2.13522

Abstract

This study examines the impact of regional capital expenditure, General Allocation Funds (DAU), and labor on real per capita Gross Regional Domestic Product (GRDP) growth across 118 regencies and cities in Java Island from 2020 to 2024. Using a Fixed Effect Model (FEM) with clustered robust standard errors, the balanced panel dataset includes 590 observations from six provinces: Banten, DKI Jakarta, West Java, Central Java, Yogyakarta Special Region, and East Java. The findings show that capital expenditure per capita has a significant positive elasticity of 0.247 (p < 0.001), increasing to a cumulative 0.297 when including a one-year lag, indicating sustained effects of public investment. DAU per capita exhibits a positive but statistically insignificant elasticity of 0.089 (p = 0.145), suggesting potential flypaper effects or indirect influence through capital spending. Labor emerges as the strongest driver of growth, with an elasticity of 0.654 (p < 0.001), which is 2.65 times larger than the impact of capital expenditure. Diagnostic tests validate the model, showing corrected heteroskedasticity, marginal autocorrelation, low multicollinearity (maximum VIF = 3.45), and approximately normal residuals. The results highlight that while public infrastructure investment remains important, a skilled and productive labor force is the most critical determinant of regional growth. Policy recommendations include increasing central government allocations for productive infrastructure, enhancing local government human capital development and capital spending quality, and adopting multi-year evaluation frameworks to capture long-term infrastructure benefits. Future research should explore DAU mediation pathways and spatial spillover effects across jurisdictions.
Machine Learning–Driven Governance: Evaluating Village Fund Effectiveness with NLP and Satellite Data Across 74,000 Indonesian Villages Meiyenti, Ira; Mualim, Wildan Maulana Assani; Dole, Mariano Aloyciandro
Jurnal Studi Pemerintahan Vol 17, No 1 (2026): February 2026
Publisher : Department of Government Affairs and Administration, Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jsp.v17i1.473

Abstract

Does fiscal reporting transparency help make Indonesia's Village Fund (DD) more effective in driving local economic growth? We test this core question using a Second Generation Fiscal Federalism framework, arguing that development success depends not on transfer volume, but on governance quality that mitigates agency problems between Central Government and Village Heads. Methodology: Using two-way fixed-effects regression on 704,150 village-year observations (2015–2024), we measure local economic growth via satellite Night-Time Light (NTL) data and transparency via IndoGovBERT analysis of 312,000 village financial reports. Key Finding: Transparency plays a decisive role in Village Fund effectiveness. A one-standard-deviation increase in transparency amplifies NTL growth responsiveness to fund allocation by 14.2% (β = 0.142; p < 0.001). This confirms that improving governance can unlock substantial development gains. Primary Contribution: This research provides large-scale empirical evidence that governance quality, measured objectively through machine learning, substantially enhances fiscal transfer effectiveness. We document a quantifiable 14.2% efficiency dividend from improved transparency, validating SGFF theory. Policy Implication: Results support integrating IndoGovBERT transparency scoring into Siskeudes platforms and implementing conditional transfer mechanisms linking disbursement to accountability performance, particularly urgent given the 2024 Village Head tenure extension.
Analysis of Archival Access Policy and Static Archive Services in Compliance with Public Information Disclosure Principles: A Study of Normative Framework and Best Practice Mualim, Wildan Maulana Assani; Marta, Fitri Yul Dewi; Meiyenti, Ira
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 5 No. 1 (2026): Januari : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v5i1.6019

Abstract

Static archives serve as an important source of public information to support state transparency and accountability. This article analyzes the policy of archive access and static archive services within the framework of Law Number 14 of 2008 concerning Public Information Disclosure through a review of normative literature and a review of best practices. This research uses content analysis methods applied to regulations, guideline documents from the National Archives of the Republic of Indonesia (ANRI), and related academic literature. The findings show that the static archive access policy in Indonesia has established the principle of universal openness with strict access restrictions based on legal provisions. However, there is a significant gap between the normative legal framework and practical implementation in the field, especially related to archive management, the availability of search tools, and coordination between archival units and public information management officials. In addition, the low quality of digital infrastructure and the uneven technical competence of archival officers have slowed down the information service process. The recommendations submitted include strengthening the capacity of human resources, integrating the archival information system with the public information disclosure portal, and harmonizing information classification policies so that static archive services can run more effectively and responsive to public needs.