<![CDATA[This study aims to analyze a digital transparency strategy based on big data analytics in detecting village fund corruption in Indonesia. The increasing number of corruption cases indicates weaknesses in conventional monitoring systems that fail to integrate data comprehensively. This research employs a qualitative approach using literature review and document analysis of official reports from the Corruption Eradication Commission and Indonesia Corruption Watch. The findings reveal that big data analytics enables the detection of transactional anomalies, cross-sectoral data integration, and improved accountability in village fund management. Furthermore, this strategy enhances technology-based transparency through government digital systems. Therefore, the integration of digital transparency and big data analytics offers an innovative model for more effective and efficient prevention and early detection of village fund corruption. thus, the integration of digital transparency and big data analytics has the potential to become an innovative model for the prevention and early detection of village fund corruption in a more effective and efficient manner, while also supporting the strengthening of a data-integrated early warning system and adaptive public policy.]]>
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