Based on data from the Central Statistics Agency (BPS) from 2021 to 2023, the crime rate in Indonesia increased by 345,510 cases. This increase indicates social problems, particularly in the economic sector. Factors such as high unemployment, high poverty rates, and low minimum wages are the main causes driving crime. When people's basic needs are not met, the potential for deviant behavior to meet their living needs tends to increase. This study aims to analyze the influence of unemployment, poverty, and the Provincial Minimum Wage (UMP) on crime rates in Indonesia, both partially and simultaneously. The study uses a quantitative approach with secondary data sources obtained from official BPS publications. The data used is panel data, namely a combination of time series (time span) and cross-section (across regions/provinces) data for the period 2021–2023. Data analysis was performed using a panel data regression model with a Fixed Effect Model (FEM) approach after undergoing the Hausman Test. The results show that partially, the three variables—unemployment, poverty, and the UMP—have a significant influence on crime rates. Simultaneous testing also showed that collectively, these three variables significantly influence the crime rate. Furthermore, the coefficient of determination (R²) test result of 93.5% indicates that unemployment, poverty, and the minimum wage (UMP) variables are able to explain most of the variation in crime rates in Indonesia during the study period, while the remaining 6.5% is influenced by other variables not included in the model. This finding emphasizes the importance of improving the economic conditions of the community through job creation, poverty alleviation, and minimum wage adjustments as preventative measures to reduce crime rates in Indonesia.

This research aims to examine the influence of Regional Original Income (PAD) and Domestic Investment (PMDN) on the Gross Regional Domestic Product (GRDP) of West Java Province during 2012-2018. A quantitative approach is used as an analysis method. GRDP data was obtained from BPS and the SPSS 26 approach was used for data analysis. The research results show that partially PAD has a significant influence on GRDP, while PMDN does not have a significant influence on GRDP. Meanwhile, results were simultaneously obtained that PAD and PMDN had a significant effect on the GRDP of West Java Province 2012-2018.

When people who are able of working cannot find work according to their interests and skills, they have the potential to become unemployed. Unemployment is caused by decreasing job requirement, lack of experience and inadequate skills. Therefore, in this case it is necessary to expand jov vacancies, develop skills and economic growth to combat unemployment. The aim of this research is to find out how poverty and the human development index as two independent variables will influence unemployment in DKI Jakarta. This research is quantitative research using secondary data in the form of time series data for the 2011-2020 period originating from the Central Statistics Agency (BPS) of DKI Jakarta Province. The method used is multiple regression analysis using IBM SPSS 26 software. The research results show that together the HDI and Poverty Level have a significant influence on the Open Unemployment Rate in DKI Jakarta Province in the period 2011-2020.

Achieving human development requires GRDP because economic guarantees will increase income and productivity as a result of development, with the main objective being price stabilization (by stabilizing inflation) and preventing the spread of poverty by paying attention to the stability of prices of goods and services on the market. The aim of this research is to determine whether there is an influence of Inflation (X1) and CPI (X2) on GRDP (Y) in Bandar Lampung 2012-2019, either partially or simultaneously. In this research the author uses secondary data with a quantitative approach. The data in this research was obtained through the Central Statistics Agency which was accessed online. So in this research the author used a document study method for collecting secondary data. In analyzing this research the author used the classical assumption test method and multiple linear regression models using IBM SPSS Statistics 26. The analytical method used in the research was the classical assumption test. The results of this research show that the GRDP  in Bandar Lampung in 2012-2019 was only influenced by inflation, not by the CPI.The Coefficient of determination shows that inflation and CPI have a Simultaneous influence on GRDP of 77,7%.