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Journal : Gorontalo Development Review

Analysis of Labor Force Participation Levels and Number of Employment Through Education on Unemployment Rates in Indonesia Adianita, Happy; Susilowati, Dados; Karisma, Devia Anindita Putri
Gorontalo Development Review Volume 7 Nomor 1 April 2024
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v0i0.3408

Abstract

The aim of this research is to identify the influence and explain the contribution of the labor force participation rate and the number of jobs to the unemployment rate. The location taken in this research is Indonesia, with cross-section data from 36 provinces in 2023. Data analysis in this research uses classical assumption tests and hypothesis testing with SPSS. Based on the calculation results, the level of labor force participation through education has a negative and significant influence on the unemployment rate in Indonesia. Meanwhile, the number of jobs created through education has no effect and is not significant on the unemployment rate. In addition, the labor force participation rate and number of jobs contribute to the unemployment rate of 65.9%. This confirms that the labor force participation rate and the number of jobs have a very significant influence on determining the unemployment rate. The labor force participation rate reflects how much of the population is actively looking for work, while the number of jobs indicates the availability of job opportunities in the economy.
Pearson Correlation Study: Unveiling the Relationship between Demographic, Economic, and Health Factors in East Java Susilowati, Dados; Adianita, Happy; Trifandha, Siskha
Gorontalo Development Review Volume 8 Nomor 1 April 2025
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v8i1.3985

Abstract

This study aims to elucidate the interactions among population size, urbanization, health, and average minimum wage in East Java Province, Indonesia. The research utilizes secondary data in the form of cross-sectional data sourced from the website of the Central Statistics Agency (BPS). The data analysis employed is correlation analysis to determine the relationships between the variables. The findings of the study indicate that 1) Population size and urbanization exhibit a strong positive correlation (r = 0.576) and are significant (p 0.05). Population size and health show a strong positive correlation (r = 0.726) and are significant (p 0.05). Population size and average minimum wage demonstrate a weak positive correlation (r = 0.285) and are significant (p 0.05). 2) Urbanization and health have a positive correlation (r = 0.417) and are significant (p 0.05). Urbanization and average minimum wage show nearly no correlation (r = -0.017) and are not significant (p 0.05). 3) Health and average minimum wage exhibit a positive correlation (r = 0.366) and are significant (p 0.05).