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Education, Unemployment, Poverty on Economic Growth in East Java Province Ifa Azzahra Farhatannisa; Muhammad Wakhid Musthofa
JURNAL ILMIAH EDUNOMIKA Vol. 9 No. 3 (2025): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v9i4.17412

Abstract

Economic development in a country or region can be seen from several indicators of an economy, including unemployment, poverty and education. This study aims to analyze the influence of education, unemployment and poverty on economic growth in East Java Province for the period 2010-2023. The data sources used in this study are secondary data in the form of time series data . The method used is multiple linear regression analysis and Ordinary Least Square (OLS) estimation. The results of the study The t-test of education has a significant effect on economic growth in East Java, unemployment has a significant effect on economic growth in East Java and poverty has a significant effect on economic growth in East Java. The results of the F-test show that the variables Education, unemployment and poverty have a significant effect simultaneously on economic growth in East Java. Local governments, communities or the private sector can take strategic steps to improve the quality of education, reduce unemployment and can alleviate poverty problems in East Java.
Analisis Faktor-Faktor yang Mempengaruhi Kemiskinan di Provinsi Sulawesi Tenggara Nurul Humaera; Muhammad Ghafur Wibowo; Muhammad Wakhid Musthofa
GEMILANG: Jurnal Manajemen dan Akuntansi Vol. 6 No. 1 (2026): Jurnal Manajemen dan Akuntansi
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/gemilang.v6i1.3573

Abstract

This study aims to analyze the factors that affect the prevalence of poverty in Southeast Sulawesi Province during the period 2014 to 2023. The independent variables studied include the Open Unemployment Rate (TPT), Human Development Index (HDI), and Total Population (JP), with poverty level as a dependent variable. The method used is multiple linear regression analysis using the Ordinary Least Squares (OLS) method processed with E-Views software. The results of the study show that simultaneously, TPT, HDI, and JP have a significant influence on the poverty rate in Southeast Sulawesi. However, when tested partially or individually, the findings showed different results. Only the Population (JP) variable has been proven to have a significant and meaningful impact on the poverty rate in the region. In contrast, the Open Unemployment Rate (TPT) and the Human Development Index (HDI) did not show a significant influence separately on the dependent variables. This research presents an important contribution in deconstructing the complexity of the relationship between key socio-economic factors and the determination of poverty rates in Southeast Sulawesi province, as well as underlining the importance of population control in poverty alleviation efforts in the region.
HOW ECONOMIC DYNAMICS INFLUENCE POVERTY: THE MODERATING POWER OF THE HUMAN DEVELOPMENT INDEX Zahirah, Qonitah Rifda; Wibowo, Muhammad Ghafur; Musthofa, Muhammad Wakhid; Julina, Julina
Jurnal Al-Iqtishad Vol 21, No 1 (2025): June 2025
Publisher : Economic and Science Faculty of Islamic State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jiq.v21i1.38035

Abstract

This study explores how economic dynamics shape poverty levels in Indonesia, with a particular focus on the moderating influence of the Human Development Index (HDI). Utilizing a quantitative approach, data were gathered from 34 provinces across Indonesia over the period 2020–2024. Key variables examined include the open unemployment rate, Gross Regional Domestic Product (GRDP), population size, and regional minimum wage, while HDI functions as a moderating factor. The analysis employed multiple linear regression via the Generalized Least Square (GLS) method, followed by Moderated Regression Analysis (MRA) using EViews 12 software. By integrating panel data techniques and interaction effect assessments, the study reveals that both unemployment and population size significantly and negatively impact poverty reduction. In contrast, GRDP shows no statistically significant direct effect. The regional minimum wage demonstrates a significant influence, though its direction varies based on model specifications. Notably, HDI emerges as a powerful factor that not only significantly reduces poverty but also amplifies the negative impact of population size on poverty levels. However, its moderating role on other economic variables remains statistically insignificant. These insights underscore the intricate nature of poverty in Indonesia and emphasize the critical need for inclusive, human-centered development policies to drive meaningful and sustainable poverty alleviation.