<![CDATA[This study aims to analyze the influence of exports, local government spending, and information and communication technology (ICT) development on the open unemployment rate in 34 provinces of Indonesia during the period 2020-2024. The high unemployment rate remains a structural problem in Indonesia, with significant disparities between provinces. This research employs a quantitative approach with panel data regression analysis using the Fixed Effect Model (FEM) with White cross-section standard errors correction. Data were obtained from the Central Bureau of Statistics (BPS), the Ministry of Trade, and the Ministry of Finance (DJPk) across 170 observations (34 provinces over 5 years). The results indicate that exports do not have a significant effect on the open unemployment rate, with a probability value of 0.1432 > 0.05. Local government spending has a negative and significant effect on the open unemployment rate with a coefficient of -1.994314 and a probability value of 0.0121. ICT development has a negative and significant effect on the open unemployment rate with a coefficient of -1.552154 and a probability value of 0.0004. The coefficient of determination (Adjusted R²) of 0.864958 indicates that 86.50% of the variation in the open unemployment rate can be explained by the three independent variables, while the remaining 13.50% is explained by other variables outside the research model. These findings provide important implications for local governments in formulating more productive spending priorities and expanding access to digital technology to create broader employment opportunities.]]>
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