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Poverty is one of the fundamental problems that is of concern to the central government in any country, nationally and internationally. Indonesia is one of the countries that is still trapped in the problem of poverty which has not yet been completely resolved. This research aims to analyze the influence of open unemployment, government expenditure, human development index on the number of poor in Lampung Province. The research data used is secondary data from publications by the Lampung Province Central Statistics Agency. The independent variables in this research are the influence of Open Unemployment and the Human Development Index, while the dependent variable is the Number of Poor People. The analysis technique used is Multiple Regression Analysis with the Ordinary Least Square (OLS) Method. The research results show that Open Unemployment (TPT) research has a negative and insignificant effect on the number of poor people, education level (TP) has a negative and not significant effect on the number of poor people, the minimum wage (UMK) has a significant positive effect on the number of poor people, while the Human Development Index (HDI) has an insignificant negative effect on the number of poor people. The results of the F test, Open Unemployment, Government Expenditures and the Human Development Index have a simultaneous or equally significant positive effect on the Number of Poor People in Lampung Province.      

Improper population management will cause population problems, especially in work areas. Existing jobs have not been able to meet the employment needs resulting from the unemployment problem. The number of unemployed in Indonesia reaches 7 million people from the workforce. The aim of this research is to determine the effect of economic growth, minimum wage labor and inflation on unemployment in Indonesia. The analysis technique used is multiple linear regression, using time sequential data for 2014-2023. The test results show that with a 95 percent confidence level the model is significant, indicated by a significance value of F 0.000 < 0.02. Determination coefficient of The R Square for the model obtained a figure of 0.235 which indicates the independent variable. The model is able to explain 95 percent of the variation in endogenous variables well. Meanwhile, the remaining 5 percent is explained by other variables outside these variables model. This means that together the variables are inflation, economic growth and minimum wage workers influence the level of open unemployment. Partially, of the three variables tested by considering the P-value results, there are two Variables that influence the open unemployment rate are inflation and minimum wages worker. Meanwhile, the economic growth variable has no effect on the level of openness unemployment.

At the national and regional levels, sustainable strategies are needed to address complex and ongoing issues, including poverty, unemployment, and regional minimum wages. There are two factors that are the focus of this study: Provincial Minimum Wage in Central Kalimantan Province: 1) The Impact of Education Level on Poverty and Unemployment; and 2) The Impact of Early Labor Force Participation Rate on Poverty and Unemployment through the Regional Minimum Wage. Time series data from 2014 to 2023 is used as secondary data in this study. The type of data used is quantitative data. The data was analyzed using path analysis, and SPPS 25 was the analysis tool used. Based on the findings, there is a significant indirect relationship between unemployment and poverty and education level. In addition, there is a significant indirect relationship between unemployment and poverty with the initial labor force participation rate, which is influenced by the regional minimum wage.