The Effect of Education Level and Open Unemployment on Poverty in Banten Province from 2019 to 2023

Poverty has always been an interesting issue in every study, especially when it is related to education level and open unemployment. This study aims to analyse the effect of education level and open unemployment on poverty in Banten Province for the period 2019–2023. The data used is secondary quantitative time series data obtained from the Banten Province Central Statistics Agency (BPS) and the Ministry of Education and Culture of the Republic of Indonesia (Kemendikbud) for the period 2019–2023. The regression model used is the multiple linear regression analysis method. Based on the results of the study, the level of education partially (t-test) has a significant effect on poverty, with a t-count value greater than the t-table (3.134 > 271.2), and open unemployment partially (t-test) has a substantial impact on poverty with a t-count value greater than the t-table (2.155 < 271.2). However, simultaneously (F-test), these two variables together have a significant effect on poverty with a calculated F-value greater than the table F-value (55.114 > 3.25).

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Publication Details

Journal
JURNAL ECONOMIC RESOURCE
Published
2025-09-16
DOI
https://doi.org/10.57178/jer.v8i2.1846
Primary Topic
Economic Growth and Fiscal Policies
Type
article
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article

The Effect of Education Level and Open Unemployment on Poverty in Banten Province from 2019 to 2023

Denny Suriandhi, Ferdinando Maikelenden Wonatta
JURNAL ECONOMIC RESOURCE
Economic Growth and Fiscal Policies
article

The Effect of Education Level and Open Unemployment on Poverty in Banten Province from 2019 to 2023

Denny Suriandhi, Ferdinando Maikelenden Wonatta
article en

Abstract

Poverty has always been an interesting issue in every study, especially when it is related to education level and open unemployment. This study aims to analyse the effect of education level and open unemployment on poverty in Banten Province for the period 2019–2023. The data used is secondary quantitative time series data obtained from the Banten Province Central Statistics Agency (BPS) and the Ministry of Education and Culture of the Republic of Indonesia (Kemendikbud) for the period 2019–2023. The regression model used is the multiple linear regression analysis method. Based on the results of the study, the level of education partially (t-test) has a significant effect on poverty, with a t-count value greater than the t-table (3.134 > 271.2), and open unemployment partially (t-test) has a substantial impact on poverty with a t-count value greater than the t-table (2.155 < 271.2). However, simultaneously (F-test), these two variables together have a significant effect on poverty with a calculated F-value greater than the table F-value (55.114 > 3.25).

JURNAL ECONOMIC RESOURCEVol. 8(2)
Universitas Esa Unggul (ID)
Openalex Percentile: Top 67%
Economic Growth and Fiscal Policies
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The Effect of Education Level and Open Unemployment on Poverty in Banten Province from 2019 to 2023 — Denny Suriandhi, Ferdinando Maikelenden Wonatta · JURNAL ECONOMIC RESOURCE (2025) | TGRS Research Map | TGRS