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Journal : Multifinance

ANALYSIS OF THE INFLUENCE OF POPULATION NUMBER AND EMPLOYMENT OPPORTUNITIES ON POVERTY IN THE CITY OF PALANGKARAYA Harati, Rima
Multifinance Vol. 2 No. 3 (2025): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v2i3.340

Abstract

This research aims to analyze the influence of population and employment opportunities that occurred during 2010-2024 on poverty in Palangkaraya City. This research is descriptive quantitative and uses multiple regression analysis tools. The results of multiple regression analysis using SPSS 25 show that population and employment opportunities do not have a significant influence on poverty in the city of Palangkaraya. Meanwhile, based on classical assumptions, it is explained that the regression model in this study meets the normality assumption, multicollinearity occurs in the regression model in this study, in this regression model symptoms of heteroscedasticity occur, it is concluded that there are no symptoms of autocorrelation.
ANALYSIS OF THE INFLUENCE OF UNEMPLOYMENT VARIABLES ON ECONOMIC GROWTH IN CENTRAL KALIMANTAN USING THE ERROR CORRECTION MODEL (ECM) APPROACH Harati, Rima
Multifinance Vol. 1 No. 3 (2024): Multifinance
Publisher : PT. Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/mfc.v1i3.136

Abstract

The objective of this study is to examine the impact of unemployment variables on Gross Regional Domestic Product (GRDP) by employing the Error Correction Model methodology. This research is conducted in Central Kalimantan from 2012 to 2023. According to the cointegration testing findings using the ECM approach, the probability of the unemployment variable is 0.3788, which is greater than the significance level of 0.05. There is a lack of cointegration or long-term balance relationship between the variables, which means that testing cannot be conducted over an extended period of time. The ECM test findings indicate that there is no significant short-term impact of the unemployment variable on GRDP in Central Kalimantan. This is supported by the probability value of the unemployment variable, which is 0.2660, above the threshold of 0.05. According to the classical assumption test, there are no signs of autocorrelation in the research model. Additionally, the Jarque Berra probability value of 0.764092 is greater than 0.05, indicating that there are no signs of heteroscedasticity. Therefore, the research model can be considered normally distributed.