The Influence of Income, Education, and Number of Family Members on Household Consumption Expenditures in Bandar Sari Village, Way Tuba District, Way Kanan Regency

Abstract

The Influence of Income, Education, and Number of Family Members on Household Consumption Expenditures in Bandar Sari Village, Way Tuba District, Way Kanan Regency. Thesis. Yogyakarta: Faculty of Economics and Business, Yogyakarta State University 2024. This research aims to determine the effect of income, education and number of family members on household consumption expenditure in Bandar Sari Village, Way Tuba District, and Way Kanan Regency. This research is quantitative descriptive. The subjects in this research were households in Bandar Sari Village. This research population applies to all households in Bandar Sari Village. The number of samples in this study was 100 households. The sampling technique uses simple random sampling technique. Data collection techniques used questionnaires and interviews. The data analysis technique used is multiple regression analysis. The results of this research are as follows: (1) income has a positive and significant effect on household consumption expenditure in Bandar Sari Village with a coefficient value of 0.182 and a significance value of 0.001 < 0.05; (2) education has a positive and significant effect on household consumption expenditure in Bandar Sari Village with a coefficient value of .117 and a significance value of 0.01 < 0.05; (3) the number of family members has a positive and significant effect on household consumption expenditure in Bandar Sari Village with a coefficient value of .414 and a significance value of 0.001 < 0.05. (4) together income, education and number of family members influence household consumption expenditure in Bandar Sari Village with a probability value of 0.001 < 0.05 and the coefficient of determination (R2) value of 0.612 is obtained, this value shows that 61.2% Consumption levels are influenced by income, education and number of family members, while the remaining 38.2% is influenced by other independent variables that were not studied.