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Poverty is a problem faced by all countries in the world, especially in developing countries. Poverty is a complex problem that is influenced by many related factors, while this study aims to analyze how and how much influence the Human Development Index, Gross Regional Domestic Product and Unemployment Rate have on Poverty Rates in Indonesia in the period 2017 to 2021. This research using multiple regression analysis with panel data as the method of analysis. This research focuses on six provinces in Indonesia as cross section data and the time range from 2017 to 2021 as time series data. The results of the study show that simultaneously there is influence between the human development index variable Gross Domestic Regional Product and the response to poverty. Then partially, the human development index variable has a negative and significant effect on the poverty variable, and for the Gross Domestic Regional Product variable it shows positive and insignificant results on the poverty variable while the relaxation variable shows positive and significant results on the poverty variable. Furthermore, the coefficient of determination shows 99.6.

Based on the fundamental aspects of people's living standards, the measure of progress in human development is called the Human Development Index. As the basis for the development structure of a region, the Human Development Index (HDI) is the most significant benchmark or parameter. The purpose of this study is undoubtedly to ascertain whether poverty in DKI Jakarta Province is influenced by the Human Development Index (IPM) variable. To achieve the research objectives, tests were conducted using simple regression analysis and quantitative techniques. The test results show that poverty in DKI Jakarta Province is significantly affected by the Human Development Index (HDI) because the significance value is less than 0.05. Because the value of determination, or R2, is close to 1, and some of the other influence values are influenced by other variables that have not been analyzed or researched, the value of the results of the Variable Human Development Index (HDI) test has a strong positive influence on poverty in DKI Jakarta Province.  

The problem that almost every developing country faces is poverty, and Indonesia is no exception. The root of the problem of poverty is that people cannot live properly. This has an impact on the quality of human resources, thereby reducing productivity and lowering the income of the community itself. Community income, unemployment, health, education and environmental conditions are factors that influence the occurrence of poverty problems. The poverty rate in North Sumatra is still relatively high compared to other regions, but North Sumatra is not included in the 10 poorest areas in Indonesia. Analyzing the effect of HDI on poverty is the aim of this study. This study uses simple regression for the research method and is processed using the help of SPSS 26 software. Through this study it can be seen that HDI has a significant effect on poverty in North Sumatra.

The Human Development Index (HDI) & expenditure inequality for each province in Indonesia need to be studied whether the Human Development Index (HDI) and expenditure inequality in each district/city in Banten Province have an influence or not. The independent variable is the Human Development Index (HDI) and the dependent variable is expenditure inequality. The research method used is quantitative method using document data from the Central Statistics Agency (BPS) in Banten Province. The results showed that the Human Development Index (HDI) had no significant effect on expenditure inequality. Where if there is a decrease in the Human Development Index (IPM) it is not certain that it will reduce Inequality in Banten Province.

Human Development Index or HDI and Economic Growth in the Regency/City of Banten Province needsto be studied whether the Human Development Index and Economic Growth have influence or not. the studied variable are Independent Variable HDI and Dependent Variable Economic Growth . The research methods used is quantitative method using document data from Central Statistics Agency (CSA) with some literature review. The result showed that HDI had no significant effect on Economic Growth. Where if there is a decrease in the Human Development Index, it can’t be confirmed that it will reduce Economic Growth in Banten Province.   Keywords: HDI, Economic Growth, Banten