<![CDATA[This study aims to map the distribution of the open unemployment rate (TPT) in Java Island in 2024 and analyze the factors that influence it. Although Java Island is the center of national economic growth, the open unemployment rate in this region is still high and unevenly distributed. The spatial method employed to capture the impact of geographical dependence between areas, which has not been extensively disclosed in prior studies, is what makes this work new. This study utilizes cross-sectional secondary data from 119 districts/cities and is analyzed using classical regression and spatial regression (Spatial Error Model) through GeoDa software. The results show that the variables of district/city minimum wage (UMK), the labor force participation rate (TPAK), and the human development index (IPM) have a significant effect on the open unemployment rate (TPT), while economic growth (PE) and the ratio of the population living in poverty (KEMISKINAN) do not have a significant effect. The findings also indicate a strong spatial autocorrelation, suggesting that the unemployment condition in a region is influenced by its surrounding regions. This study concludes that unemployment in Java is more influenced by structural factors than macroeconomic growth. Therefore, unemployment reduction policies should be regional, focus on improving the quality of human resources, and consider spatial interrelationships between regions.]]>
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