The Effect of Minimum Wage, Population, and Human Development Index on The Open Unemployment Rate in Lampung Province

This study examines the impact of minimum wages, population, and the Human Development Index (HDI) on the Open Unemployment Rate (TPT) in Lampung Province in 2023. Employing a quantitative approach with multiple linear regression analysis, this research utilizes secondary data from the Central Statistics Agency of Lampung Province. The results of the simultaneous test indicate that the three independent variables collectively have a significant effect on the TPT. However, in the partial test, only the minimum wage and population variables exhibit a significant effect, while the HDI does not show a statistically significant impact on the TPT. The regression model reveals that a 1-rupiah increase in the minimum wage corresponds to a 0.02584% increase in the TPT, while an increase of one person in the population leads to a 21.18% rise in the TPT. These findings can serve as a reference for the Lampung Provincial Government in formulating policies to reduce unemployment, with a particular focus on managing minimum wages and population growth.

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Publication Details

Journal
Symmetry & Sigma Journal of Mathematical Structures and Statistical Patterns
Published
2024-12-30
DOI
https://doi.org/10.58989/symmerge.v1i2.26
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
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article

The Effect of Minimum Wage, Population, and Human Development Index on The Open Unemployment Rate in Lampung Province

R. Azizah, Azahra Anisa’i Khoiriah
Symmetry & Sigma Journal of Mathematical Structures and Statistical Patterns
Economic Growth and Fiscal Policies
article

The Effect of Minimum Wage, Population, and Human Development Index on The Open Unemployment Rate in Lampung Province

R. Azizah, Azahra Anisa’i Khoiriah
article en

Abstract

This study examines the impact of minimum wages, population, and the Human Development Index (HDI) on the Open Unemployment Rate (TPT) in Lampung Province in 2023. Employing a quantitative approach with multiple linear regression analysis, this research utilizes secondary data from the Central Statistics Agency of Lampung Province. The results of the simultaneous test indicate that the three independent variables collectively have a significant effect on the TPT. However, in the partial test, only the minimum wage and population variables exhibit a significant effect, while the HDI does not show a statistically significant impact on the TPT. The regression model reveals that a 1-rupiah increase in the minimum wage corresponds to a 0.02584% increase in the TPT, while an increase of one person in the population leads to a 21.18% rise in the TPT. These findings can serve as a reference for the Lampung Provincial Government in formulating policies to reduce unemployment, with a particular focus on managing minimum wages and population growth.

Symmetry & Sigma Journal of Mathematical Structures and Statistical PatternsVol. 1(2)
Universitas Nahdlatul Ulama Indonesia (ID), Universitas Patria Artha (ID)
Openalex Percentile: Top 68%
Economic Growth and Fiscal Policies
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