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Journal : Involvement International Journal of Business

Analysis of The Influence of Population Number and Regional Minimum Wage on Unemployment in Central Kalimantan Rima Harati; Heike Delfmann
Involvement International Journal of Business Vol. 1 No. 4 (2024): October 2024
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v1i4.74

Abstract

This study aims to examine the impact of population and regional minimum wages on unemployment in Central Kalimantan. Understanding the factors influencing unemployment is crucial for policymakers, particularly in regions with unique economic and demographic challenges like Central Kalimantan. The research uses data from the period 2011-2023, applying Multiple Linear Regression Analysis to investigate the relationship between population (X1), regional minimum wages (X2), and unemployment (Y). Classical assumption tests, including normality, multicollinearity, autocorrelation, and heteroscedasticity, were conducted to ensure the validity of the regression model. The findings indicate that neither population nor regional minimum wages significantly affect unemployment in Central Kalimantan. These results suggest that other factors may play a more significant role in determining unemployment in the region, providing a basis for future research to explore additional variables and more complex interactions affecting regional unemployment rates.
Do Minimum Wages Reduce Poverty? A Case Study of Palangkaraya City Harati, Rima
Involvement International Journal of Business Vol. 2 No. 4 (2025): October 2025
Publisher : PT Agung Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62569/iijb.v2i4.216

Abstract

This study examines the impact of the regional minimum wage on poverty levels in Palangkaraya City from 2010 to 2024. The goal is to determine whether an increase in the minimum wage reduces poverty in the region. A simple linear regression model was used to analyze the effect of the regional minimum wage (independent variable) on poverty (dependent variable). Secondary data on the regional minimum wage and poverty rates were sourced from the Palangkaraya City Central Statistics Agency (BPS). Classical assumption tests, including normality, multicollinearity, and heteroscedasticity tests, were conducted to validate the regression model. The regression analysis found a significant negative relationship between the regional minimum wage and poverty in Palangkaraya City (coefficient = -6.080E-7, t = -5.561, p < 0.05). The normality and multicollinearity tests met the required assumptions, while heteroscedasticity was detected in the model. The study confirms that an increase in the regional minimum wage can significantly reduce poverty in Palangkaraya City. However, the presence of heteroscedasticity suggests that further model refinement is needed. Future research should focus on improving model accuracy and expanding the scope to include other factors influencing poverty.