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Pendidikan merupakan salah satu aspek penting untuk menentukan kualitas sumber daya manusia. Tetapi pada pelaksanaannya, pendidikan mengalami masalah ketimpangan. Terdapat beberapa faktor yang mempengaruhi ketimpangan pendidikan. Penelitian ini dilakukan dengan tujuan untuk mengetahui pengaruh Rasio Gini dan PDRB per kapita terhadap ketimpangan pendidikan di Provinsi Jawa Barat periode 2017-2020. Hasil dari penelitian ini menjelaskan bahwa Rasio Gini dan PDRB per kapita berpengaruh secara simultan terhadap ketimpangan pendidikan di Provinsi Jawa Barat periode tahun 2017-2020.

Penelitian ini memiliki tujuan untuk mengetahui pengaruh dari Penanaman Modal Asing (PMA), Penanaman Modal Dalam Negeri (PMDN) dan Angkatan Kerja terhadap Pertumbuhan Ekonomi di Provinsi Banten. Penelitian ini dilakukan pada periode tahun 2017 sampai 2020. PDRB diartikan sebagai jumlah seluruh nilai total barang dan jasa akhir yang dihasilkan oleh semua unit ekonomi di wilayah tertentu atau bisa juga diartikan sebagai nilai tambah total yang dihasilkan oleh semua unit usaha dalam suatu wilayah. Penanaman Modal Asing (PMA) berpengaruh positif namun tidak signifikan terhadap pertumbuhan ekonomi di Provinsi Banten dengan nilai koefisien sebesar 0.001388. Penanaman Modal Dalam Negeri (PMDN) berpengaruh positif dan signifikan terhadap pertumbuhan ekonomi di Provinsi Banten dengan nilai koefisien sebesar 0.005665. Angkatan Kerja (AK) berpengaruh positif namun tidak signifikan terhadap pertumbuhan ekonomi di Provinsi Banten dengan nilai koefisien sebesar 0.006446. Variabel penelitian Penanaman Modal Asing (PMA), Penanaman Modal Dalam Negeri (PMDN) dan Angkatan Kerja secara bersama-sama berpengaruh dan signifikan terhadap pertumbuhan ekonomi di Provinsi Banten.

This study aims to analyze the effect of the unemployment rate and GRDP on poverty in Banten Province from 2017 to 2021 and identify areas with lagging economic growth and advanced economic growth. In this analysis, another goal to examine is the reason why an area in Banten Province has lagging economic growth. Also, this study aims to design a policy direction for increasing economic growth in Banten Province within a period of five years. This study uses the Panel Data method. Utilization of analytical tools in this study will be used to see and determine which areas have lagging economic growth and which areas have advanced economic growth in Banten Province. In addition, the analysis tools in this study will also provide an explanation of things that can or should be improved in order to increase economic growth in Banten Province.

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.

This research will show how external debt and also the level of FDI affect the GRDP of case studies in the Makassar region from 2009-2013. The theory of multiple linear regression analysis is applied in quantitative research methodology. Secondary data from the Makassar Central Bureau of Statistics is used as a data source. Information only regarding the amount of Indonesian loans, the total level of realization of FDI inflows by Indonesia, but also figures regarding the degree and total local national GRDP of Makassar City were all collected using straight literary elements using figures for the period 2009 to 2013 (5 years). The quantitative approach is indeed a technique used to assess the level of guiding decisions in one component having several other characteristics using the SPSS 25 application. Thus, producing an initial model that shows a positive and beneficial effect of the independent variables external debt and FDI is relevant to the dependent variable of City GRDP Macassar. This shows that it is important to increase these two variables because the GRDP level of Makassar city will also increase.