Munibah, Noor
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Analisis Faktor-Faktor Yang Mempengaruhi Pendapatan UMK Sektor Perdagangan di Kecamatan Banjarmasin Utara Munibah, Noor; Chandriyanti, Ika
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol 6, No 2 (2023)
Publisher : PPJP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v6i2.11068

Abstract

This study has the following objectives: 1) to determine the effect of wages, working hours, capital, and education simultaneously on the MSE income in the trading sector in North Banjarmasin District. 2) to determine the effect of wages, working hours, capital, and education partially on MSE income in the trade sector in North Banjarmasin District. In this study, the authors use quantitative methods through a descriptive approach. Primary data types are generated through the distribution of questionnaires and interviews. The analysis technique uses descriptive analysis and multiple linear regression using the Ordinary Least Square (OLS) method. The results of this study reveal that Simultaneously (f test) illustrates that the independent variables X1(Wage), X2(Working Hours), X3(capital), and X4(Education) together simultaneously have a significant effect on Y(Income) in MSEs in the Trade Sector in the District of North Banjarmasin. Partially, the independent variables X1(Wage), X2(Working Hours), and X3(Capital) affect Y(Income), while the X4(Education) variable does not affect Y(Income).
Analisis Faktor-Faktor Yang Mempengaruhi Pendapatan UMK Sektor Perdagangan di Kecamatan Banjarmasin Utara Munibah, Noor; Chandriyanti, Ika
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 6 No. 2 (2023)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study has the following objectives: 1) to determine the effect of wages, working hours, capital, and education simultaneously on the MSE income in the trading sector in North Banjarmasin District. 2) to determine the effect of wages, working hours, capital, and education partially on MSE income in the trade sector in North Banjarmasin District. In this study, the authors use quantitative methods through a descriptive approach. Primary data types are generated through the distribution of questionnaires and interviews. The analysis technique uses descriptive analysis and multiple linear regression using the Ordinary Least Square (OLS) method. The results of this study reveal that Simultaneously (f test) illustrates that the independent variables X1(Wage), X2(Working Hours), X3(capital), and X4(Education) together simultaneously have a significant effect on Y(Income) in MSEs in the Trade Sector in the District of North Banjarmasin. Partially, the independent variables X1(Wage), X2(Working Hours), and X3(Capital) affect Y(Income), while the X4(Education) variable does not affect Y(Income).