Modeling and Simulation of Village Fund Allocation Distribution Using Regional Cluster-Based System Logic Approach
Keywords:
Village Fund, K-Means Clustering, System Logic, Budget Simulation, Affirmative PolicyAbstract
The inequitable distribution of Village Funds remains a critical issue in Indonesia's fiscal decentralization, often exacerbating regional development disparities due to static and uniform allocation mechanisms. This study aims to develop a budget distribution simulation model that integrates Data Mining with System Logic to formulate a more equitable allocation strategy. Using a quantitative approach with a case study in Majalengka Regency, the research methodology involves two stages: first, mapping regional characteristics using the K-Means Clustering algorithm based on historical data (2019-2022), and second, applying a Scenario-Based System Simulation using a Weighted Growth Model. The system logic applies an affirmative policy where underdeveloped regions (Low Cluster) receive a higher growth weight (8%) compared to developed regions (High Cluster, 2%). The simulation results demonstrate that the proposed model successfully reduces fiscal disparity by significantly increasing the nominal allocation for the Low Cluster without burdening the total regional budget, which only increased by 4.4%. This study concludes that the integration of clustering and rule-based simulation provides a scientifically accountable Decision Support System (DSS) for local governments to perform "What-If Analysis" in planning fair and targeted fiscal policies.
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