Abstract. Indonesia's economic growth and open-air unemployment rates need to be discussed whether they have an impact or not. Free variables which are economic growth and bound variables are open unemployment. The research method used is quantitative method using document data from the statistical central body (BPS) in Indonesia. Research has shown that economic growth has not hada significant impact on open unemployment. . Where if there is an increase in economic growth it is not certain that it will reduce the open unemployment rate in Indonesia

Foreign Investment (PMA) and Domestic Investment (PMDN) are indicators that clearly have influence over the state of the economy in a certain country. The goal of this study is to understand and analyze the impact of asing and local government investments on gross domestic product (PDB). The methodology used is a quantitative method that makes use of second-level data from the Badan Pusat Statistics (BPS). The information used is a time series that spans the years 2017 to 2021. . This study was analyzed using the Classical Assumption test and Multiple Regression With PMA and PMDN serving as variables X or independent variables and PDB serving as variables Y or dependent variables, The results of studies found that foreign investment or (PMA) have no significant impact on GDP, whereas domestic investment or (PMDN) has significant impact on GDP.

The current problems of income inequality, slow economic growth, and other interrelated complexities are all directly linked to poverty. Finally, all nations must fight poverty in order to provide a recognized and prosperous life for their citizens. Therefore, the aim of this study is to ascertain how poverty will change in Central Java Province between 2017 and 2021 as a result of inequality in income distribution and economic growth. Using quantitative research techniques, this research. Inequality of Income Distribution, Economic Growth, and Poverty The Central Statistics Agency (BPS) of Central Java Province in 2017–2021 is a secondary data source with time series data. In addition, other methods were used to collect and analyze the data. and processed using SPSS 25.0 software. The results of this study indicate that the partial and simultaneous test results show that the Inequality of Income Distribution and Economic Growth does not have an insignificant effect on the Poverty Level. But secondly, when the correlation and determination tests were carried out, the results showed that the two independent variables had a relationship of 64.1% and an influence of 41.1% on the Poverty Level in Central Java Province for the 2017-2021 period.
 

Tingkat pengangguran dan kemiskinan di Kabupaten/Kota Provinsi Banten perlu dikaji apakah tingkat pengangguran dan kemiskinan di Provinsi Banten memliki pengaruh atau tidak. Variabel bebas yaitu pengangguran dan variabel terikat yaitu kemiskinan. Metode penelitian yang digunakan yaitu metode kuantitatif dengan menggunakan data dokumen dari Badan Pusat Statistik (BPS) di Indonesia. Hasil penelitian menunjukkan bahwa pengangguran tidak terdapat pengaruh yang signifikan terhadap kemiskinan. Dimana jika terjadi penurunan angka pengangguran belum dapat dipastikan akan mengurangi kemiskinan di Provinsi Banten.
 

Abstrak. Investasi dapat mempengaruhi tingkat kemiskinan di suatu negara, investasi juga sebagai salah satu komponen terpenting dari pembangunan ekonomi. Penelitian ini bertujuan untuk mengetahui seberapa besar dampak yang ditimbulkan dari investasi terhadap tingkat kemiskinan di provinsi Banten. Data penelitian ini bersifat time series dimana data ini bersumber pada BPS. Penelitian ini, yang dilakukan dengan metode analisis regresi sederhana. Penanaman modal dalam negeri sebagai variabel independen dan tingkat kemiskinan sebagai variabel dependen. Berdasarkan hasil penelitian, angka kemiskinan di Provinsi Banten dipengaruhi secara signifikan oleh variabel PMDN. Akibatnya, angka kemiskinan di Provinsi Banten akan turun sebagai akibat dari realisasi PMDN ini.

Community welfare is an indicator of developme t goals. In its implementation, economic development will be faced with various problems that can hinder the success of such development. One of the complex problems related to the prosperity of the population is poverty. High poverty can have an impact on the emergence of various other social problems. It is difficult to know the exact cause and how effective control is to reduce poverty in Pandeglang Regency. The use of analytical tools in this study was carried out to identify and determine specific problems as a factor in the occurrence of poverty in Pandeglang Regency. In addition, this analysis method will contain information about events that must be considered in the scope of poverty alleviation that occurred in Pandeglang district. The final part of this journal discusses the design of poverty control procedures in Pandeglang Regency in approximately five years. Finally, it is hoped that the final results of this research will be very important to prevent poverty in Pandeglang Regency. 

The purpose of this study is to ascertain whether the population growth rate and unemployment rate have an impact on the poverty rate in West Java. Population growth and the unemployment rate are the independent variables, followed by the poverty rate as the dependent variable. The time series data used in this study include the years 2019 through 21. Multiple regression using SPSS 25.0 is the analytical approach employed. Where the regression equation, Y = 41,491 + 9,385 X1 + 14,239 X2, is discovered. This demonstrates that the poverty rate in the province of West Java has a unidirectional relationship with both the unemployment rate and population growth. The T test results showed that there was no relationship between West Java's poverty level and the unemployment rate. Additionally, the West Javan poverty rate is unaffected by the population growth variable. The F test indicates that the independent factors collectively have an impact on the dependent variable. The poverty rate is affected by the unemployment rate and population growth to the tune of 7.7%, with other factors affecting the remaining 92.3%.

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.