<![CDATA[Each region faces different population problems, one of which is the problem of unemployment. Unemployment measures the extent to which the labor force is able to be absorbed by existing employment. Tebo Regency has experienced an increase in unemployment in the past three years. So we need a study of what affects unemployment, precisely the determinants of unemployment in Tebo district. In this study, binary logistic regression is used which shows that education status, marital status, gender and regional classification significantly influence unemployment in Tebo Regency in 2019. Furthermore, it is hoped that local governments will pay attention to the causes of unemployment so they are able to make the right policies that can reduce the numbers unemployment rate in Tebo Regency.]]>
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