INDONESIAN GOVERNANCE JOURNAL : KAJIAN POLITIK-PEMERINTAHAN

COLLABORATION-BASED DECENTRALIZATION STRATEGY FOR ECONOMIC AND SOCIAL EMPOWERMENT OF THE PEOPLE OF NORTH LOMBOK REGENCY

Denda devi — 2026-08-05

This study investigates key governance dimensions and their contribution to improving public administration in North Lombok Regency. The analysis focuses on Transparency and Accountability, the Role of the State in the Market, Social Justice and Inclusion, Public Participation, Sustainable Development, and Good Governance. The primary objective is to evaluate how these governance factors influence governance performance while providing practical recommendations to strengthen public trust, enhance the quality of public services, and support sustainable development.A quantitative research approach was employed, with survey data analyzed using SmartPLS to examine the proposed relationships among the study variables. The statistical results indicate that all hypothesized relationships are significant (p-value < 0.001), confirming the robustness of the measurement and structural models. The findings demonstrate that Transparency and Accountability play an important role in enhancing public trust and improving administrative performance. Likewise, the Role of the State in the Market contributes to balanced economic development and the promotion of social justice. The results also emphasize that Public Participation is essential for inclusive governance by ensuring that diverse community interests are represented in the decision-making process. Furthermore, the study highlights that achieving Sustainable Development requires the integration of economic, social, and environmental dimensions through long-term governance strategies.

CONSTRUCTING OLIGARCHIC POWER: ONLINE MEDIA NARRATIVES AND DEMOCRATIC DISCOURSE IN INDONESIA DURING JOKO WIDODO'S PRESIDENCY

Moch Rifqi Mei Redha — 2026-08-05

This study examines how Indonesian online media frame oligarchic practices during Joko Widodo’s presidency and how these representations shape understandings of democracy. This method uses qualitative data collected from 40 national news articles published between 2020 and 2024 using NCapture, into pro-government, neutral, and critical media. The study used NVivo 12 Plus, including cluster analysis, text queries, and crosstabs. The findings show that media discourse primarily portrays oligarchy through themes of concentrated political power, restricted public participation, and the preservation of existing power structures. In contrast, issues of economic inequality and political corruption receive less attention. These framing patterns suggest that oligarchy is often presented as a matter of political governance and stability rather than a structural challenge to democratic accountability. This study contributes to the literature on media framing and democratic governance by demonstrating how online media normalize elite power relations through narratives of political stability and development.

AN ANALYSIS OF SUSTAINABLE PEATLAND GOVERNANCE POLICY IN KUBU RAYA REGENCY

Adila Puspa Hestiantini — 2026-08-05

Kubu Raya Regency, as one of the regions with a substantial extent of peatland areas, faces significant challenges in achieving sustainable peatland governance. This study aims to analyze policies related to sustainable peatland governance in Kubu Raya Regency by examining regulatory frameworks, institutional arrangements, policy implementation, and the constraints encountered by local governments. The research employs a descriptive qualitative approach through document analysis of laws and regulations, regional planning documents, and official government reports. The findings indicate that the policy framework for peatland governance in Kubu Raya Regency is in place and aligned with national policies; however, its implementation remains suboptimal. Major challenges include limited cross-sectoral coordination, inadequate institutional capacity, and economic pressures on peatland utilization. This study concludes that strengthening policy integration, enhancing institutional capacity, and promoting community participation are key factors in achieving sustainable peatland governance in Kubu Raya Regency.

UTILIZING BIG DATA AND ARTIFICIAL INTELLIGENCE TO MONITOR SDG ACHIEVEMENTS

Herpita Wahyuni — 2026-08-05

This study aims to formulate a Big Data and Artificial Intelligence (AI)-based model for monitoring the SDGs within a data-driven governance framework. Using a descriptive qualitative approach and a conceptual study, the study focuses on four aspects: current monitoring mechanisms, potential Big Data-based data sources, opportunities for AI utilization, and data governance and inter-agency interoperability. Data were obtained from literature reviews, policy documents, and news sources on the implementation of the SDGs, Big Data, AI, and data governance. The results show that the weakness of SDGs monitoring lies not in the availability of indicators or data, but rather in the monitoring and governance architecture, which remains administrative, periodic, and sectoral, resulting in slow information flow and minimal analytics. Abundant data sources actually meet the characteristics of Big Data, and AI can transform indicator readings into real-time, analytical, and predictive insights. However, their utilization has not been optimal due to interoperability constraints and procedural data governance. Monitoring transformation requires the integration of Big Data, the use of AI, and a shift in governance towards interoperability across agencies. Further research suggestions include the empirical testing of the model through case studies in local governments/agencies, the development of a Big Data and AI-based monitoring dashboard prototype, and the measurement of its impact on the quality of policy-making