Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Effect of the Increase in Population on the Unemployment Rate in Central Sulawesi Province Period 2018-2020 Salsabila, Alya; Azaria, Naura Sultania; Desmawan, Deris
Journal Of Accounting Management Business And International Research Vol 1, No 2 (2022): October 2022
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.619 KB) | DOI: 10.57235/jambuair.v1i2.44

Abstract

The manufacture of the journal is intended to meet one of the task of economic development courses with the lecturer Deris Desmawan, SE, M.Si. This study attempts to test the relationship between increase in the number of people with unemployment in central sulawesi province 2018-2020 a period of years. This research using secondary data, data sourced from BPS (Badan Pusat Statistik) , and research before discuss on a subject of same. In this research using two variables in this research of improved the population and unemployment, Technique the analysis used is using the regression equation is and the descriptive statistics. Research findings show that the variable an increase in the population of the against the number of unemployment have ties a correlation in which very strong and in line. The results can be seen from significance and testing shows the testing of hypotheses satisfactory results positive and significant
Pengaruh Pengangguran, Kemiskinan, serta Indeks Pembangunan Manusia (IPM) terhadap Kesenjangan Pendapatan di Kabupaten atau Kota Provinsi Banten Periode Tahun 2019-2023 Salsabila, Alya; Azaria, Naura Sultania; Ramdhani, Novita; Amanda, Amanda; Christina, Angelicha
LITERATUS Jurnal Ilmiah Internasional Sosial dan Budaya
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/lit.v6i1.1571

Abstract

This study aims to analyze the impact of unemployment, poverty, and the Human Development Index (HDI) on income inequality in the regencies and cities of Banten Province during the period 2019-2023. This research uses secondary data obtained from the Central Bureau of Statistics (BPS). The population in this study includes all regencies and cities in Banten Province, with the sample being time series data from 8 regencies/cities over five years. The research method used is panel data regression with the STATA 14 application. The research instrument includes independent variables such as unemployment, poverty, and HDI, and the dependent variable is income inequality measured by the Gini ratio. The results show that unemployment and HDI have a significant influence on income inequality, while poverty does not have a significant effect. Increases in unemployment and HDI tend to increase income inequality. Additionally, the study found that improvements in HDI, including enhancements in educational and health infrastructure, contribute to the increase in income inequality. These findings have important implications for economic policies to reduce income inequality in Banten Province.