Rahmawati, Ira Ayuk
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Optimizing Zakat Distribution: An Examination of Poverty, Income, and Unemployment in Kudus City Rahmawati, Ira Ayuk; Qomar, Moh. Nurul
Munazzama: Journal of Islamic Management and Pilgrimage Vol. 4 No. 1 (2024): June
Publisher : Fakultas Dakwah dan Komunikasi Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/mz.v4i1.18616

Abstract

This study explores the optimization of zakat distribution in Kudus City, focusing on the effects of poverty, income, and unemployment. Employing a quantitative research method and the analysis of secondary data, this investigation employs EViews 10 for the examination of pertinent variables. Results from Kudus City indicate that the "Number of Poor Population," income, and unemployment significantly affect the "Zakat Almsgiving Funds." Notably, there is a negative correlation with the "Number of Poor Population" and a positive correlation with income and unemployment levels. These outcomes offer crucial insights for policy formulation and the enhancement of zakat distribution efficacy.
Analisa pengaruh Go-Food terhadap penjualan UMKM di Universitas Muhammadiyah Surakarta Sukardi, Agung Slamet; Rahmawati, Ira Ayuk
Journal of Economics Research and Policy Studies Vol. 2 No. 3 (2022): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v2i3.268

Abstract

This study aims to determine how much influence Go-Food has on MSME sales at UMS. This analysis uses the independent variable, namely Go-Food and the dependent variable, namely MSME sales. The sample of this research is SMEs that have been registered with Go-Food, SMEs that have made buying and selling transactions on the Gojek application. And the SMEs studied around UMS were 18 MSME units. The four MSME categories are in the food and beverage sector which consists of chicken, martabak, thai tea and coffee. Data collection was carried out by collecting primary data with observation techniques, documentation, questionnaires, interviews and literature studies. The statistical method uses the Average Test of Two Populations that are Dependent, namely to test the average difference between two groups of data that are dependent or interrelated. The results of this study indicate that the Go-Food variable has a significant effect on the MSME sales variable at UMS.