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Poverty is a fundamental issue, since poverty involves meeting the most vital needs of life and is a problem that many countries face, including Indonesia. Since its entry into and development of the covid-19 pandemic into Indonesia in the early part of 2020, putting immense pressure on the economic sector and affecting the social life of communities. In general, the condition of the number of poor people in each province on Java both before and after the entry of covid-19 was not marked by a change in ratings, which indicates an increase in average value. The study was intended to see how the minimum wages of the province and unemployment rates of the 6 provinces on Java period 2017 to 2021 and to see how the covid-19 diagnosis of covid-19 against poverty, the regression of the data panel analysis was made with the random effect model diman's approach that the minimum labor would not affect poverty, Unemployment has a negative impact on poverty and the covid-19 pandemic has a positive impact on the growing number of poor people on the island of Java.

The aim of this study is to analyze and measure the factors affecting Indonesia's economic growth rate by focusing on a number of factors, such as the human development index and inflation. The study use eviews10 software with its fixed effect model (fem) to see its enormous value of determinations and correlation between non-monetary variables and variables. The data studied came from the statistical central body in Indonesia, as well as several literature studies ranging from 2017 to 2021. From research and theoretical studies itis concluded that in 2017-2021 there is no effect between the human development index and inflation and economic growth in Indonesia.  

The object of this research is Economic Growth in Central Java. This study aims to analyze the effect of foreign investment, inflation, and the consumer price index on economic growth in Central Java. The data used is time series data from 2015-2019 published by Bank Indonesia, the Central Bureau of Statistics, and the World Bank. The analytical method used in this study is a multiple regression analysis tool with the Ordinary Least Square (OLS) method approach. Based on this study it was concluded that inflation has a significant effect on economic growth in Central Java, while the exchange rate and investment have no significant effect on inflation in Central Java.