Many regions in Indonesia face structural problems such as economic inequality. Economic inequality remains a significant obstacle to the development process, especially in developing countries such as Indonesia. The objective of this study is to determine the influence of Unemployment Rate, Education Index, and Poverty Rate on Economic Inequality in East Java Province. This study employs a quantitative method using secondary data analysis from the Central Bureau of Statistics (BPS) for the years 2010–2023. The analysis method used is multiple regression with classical assumption tests. The results of the study indicate that the Education Index and Percentage of Poor Population variables have a significant and positive impact on economic inequality, while the unemployment rate has a significant but negative impact on economic inequality in East Java Province. These findings suggest the need for further analysis of other factors influencing economic inequality to achieve equitable welfare for the community. The implications of this study can serve as a reference for the government in formulating inclusive development policies to reduce economic inequality in East Java.

The Covid-19 pandemic has had a significant impact on the global economy, including Indonesia, Banten Province being one of the areas affected, with an increase in the unemployment rate as one indicator. The purpose of this study was to analyze the unemployment rate in the Banten area due to the Covid-19 pandemic. This study used a qualitative approach or secondary data method from the Central Bureau of Statistics (BPS) and analyzed using linear regression. The results of the study show that the unemployment rate in Banten has increased significantly since the Covid-19 Pandemic began. This is due to the reduced number of jobs and a decrease in economic activity in the area. This research is expected to contribute to the development of government policies in overcoming the effects of the Covid-19 Pandemic on the unemployment rate in Banten Province.

Kemiskinan merupakan kondisi dimana masyarakat tidak mampu memenuhi kebutuhan hidup sehari hari. Penelitian ini dilatarbelakangi oleh permasalahan pada kesejahteraan sosial di Kabupaten Brebes, berupa kemiskinan dengan pokok permasalahan yaitu tidak meratanya distribusi pendapatan dengan tingkat pengangguran terbuka yang cukup signifikan dalam memengaruhi struktur sosial perekonomian wilayah tersebut. Untuk merespons permasalahan tersebut, para peneliti melakukan penelitian dengan tujuan mengetahui pengaruh daripada tidak meratanya distribusi pendapatan dan tingkat pengangguran terbuka terhadap kemiskinan yang berakibat cukup besar terhadap perekonomian wilayah Kabupaten Brebes. Penelitian ini dilakukan menggunakan data pasti yang mengacu pada BPS. Kemudian menggunakan kajian teori pengangguran yang juga menggunakan BPS dan data tersebut diuji dengan menggunakan software SPSS, dan terakhir Kajian teori kemiskinan beserta kerangka konseptual dimana faktor yang ada merupakan sumber dari permasalahan kemiskinan yang diteliti.

Various factors can influence a country's economic growth, among which is the availability of manpower. The substantial availability of human resources in a country can serve as a catalyst for the progress of Indonesia's economy. This research aims to determine the influence of the Human Development Index on the economic growth of Bali Province during the period of 2018-2022. The research methodology employed is quantitative, involving the gathering of data from the Central Bureau of Statistics (BPS) and a literature review. In this study, the dependent variable is Economic Growth, while the independent variable is the Human Development Index (HDI). The research findings reveal that the HDI has no significant impact on economic growth.

Peran pendidikan, kualitas Sumber Daya Manusia (SDM), dan produktivitas masyarakat di DKI Jakarta perlu dilakukan pengkajian lebih apakah dari ketiga aspek tersebut berpengaruh atau tidak. Sebagai dasar pada struktur pembangunan suatu wilayah, produktivitas masyarakat merupakan patokan yang paling sesuai. Hal yang dituju pada peneliti ini agar dapat dipercaya untuk membuktikan apakah kualitas dan produktivitas masyarakat di DKI Jakarta dipengaruhi oleh peran pendidikan. Dengan menggunakan teknik kuantitatif dan analisis regresif dalam penelitian ini. Di DKI Jakarta secara menyeluruh terdapat 6.421 sekolah, Dari berbagai tingkat jenjang pendidikan memiliki dua jenis sekolah yaitu sekolah negeri dan sekolah swasta. Yang didominasi oleh sekolah swasta sebanyak 4.420 sekolah atau sebesar 69 persen, sedangkan sekolah negeri sebanyak 2.001 sekolah. Dibandingkan dengan tingkatan sekolah lainnya, SD merupakan sekolah terbanyak sebesar 37 persen atau sebanyak 2.362 sekolah. Sedangkan jumlah sekolah yang paling sedikit yaitu SMA sebesar 7 persen atau sebanyak 490 sekolah.

This research was conducted because the poverty rate in 2020 increased to 0.67%. Therefore this study aims to analyze the partial and simultaneous effects of Open Unemployment and Average Length of School on the Poor Population Rate in Indonesia in 2020. This type of research is quantitative research. The analytical method used in this study is the normality test and hypothesis testing, and the data used is secondary data. The results of the study show that partially (1) there is no significant effect of open unemployment on the poverty rate in Indonesia in 2020, while simultaneously (2) there is no effect on the average length of schooling on poverty in Indonesia in 2020, (3) there is no significant effect Open Unemployment and Average Length of School to poverty in Indonesia in 2020.

This study aims to identify the independent variables that affect the level of labor force participation in the DKI Jakarta area. There are four independent variables studied, namely Gross Domestic Product (X1) or commonly known as GRDP, then Provincial Minimum Wage (X2), then there is Domestic Investment (X3), and the last variable is Foreign Investment (X4). Meanwhile, the dependent variable in this study is the Labor Force Participation Rate (Y). The current study applies a data panel that combines cross-sectional and time-series data. The data analysis technique applied in this study is multiple linear analysis using the Eviews10 program. After conducting the test, the researcher found that there was a significant correlation between the alpha GRDP and PMA variables, which was about 5% higher than the LFPR. On the other hand, the Provincial Minimum Wage and Domestic Investment are two factors that have little influence on the determinants of the level of labor force participation.

The purpose of this study is to determine poverty is affected by the open unemployment rate during the COVID-19 pandemic. The first COVID-19 case that entered Indonesia since March 2, 2020 had an impact on various aspects, including increasing the unemployment rate. Layoffs and the difficulty of finding work during the pandemic have led to an increase in open unemployment. Between 2019 and 2021, the number of poor people in the Regency or City of Banten Province is taken as the population. Panel data regression was used in this study for testing and quantitative methods. Based on the results of our research, the poverty rate in cities and districts in Banten Province is not significantly affected by the open unemployment rate.

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.