Summary: | This study aims to determine the impact of women's savings and loan credit against the income of poor households receiving tuition credits and find out what factors affect revenue. The method used in this study are two different test average and multiple linear regression with the smallest quadrant method (OLS) using the primary data and secondary data. Primary data obtained through interviews with the respondents and the spread of the questionnaire, while secondary data obtained from the office of district UPK Sikakap. The results of the analysis using two different analysis tools show that the average earnings before and after the credits there is no difference, and also by using multiple linear regression analysis with OLS method shows that the independent variables: the loan amount, age and education level, influence the targeting accuracy positive but only two are significant, namely the loan amount and levelof education of the income of poor households.
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