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Journal : Jurnal EMT KITA

Analisis Fundraising Melalui Unit Pengumpul Zakat: Mengukur Minat Berdonasi Harahap, Muhammad Arfan; Hasibuan, Sri Wahyuni; Daud, Ahmad
Jurnal EMT KITA Vol 7 No 4 (2023): OCTOBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v7i4.1428

Abstract

Fundraising activities through zakat collection units still have problems and need to be analyzed. This research aims to measure the interest in donating through the Zakat Collecting Unit of STAI Jam’iyah Mahmudiyah, Langkat (UPZ STAI-JM). To analyze research data, which is a latent variable, it is carried out using the Structural Equation Modeling-Partial Least Square (SEM-PLS) method with the help of the SmartPls 4.0 tool. The research sample of 100 respondents provided data via a questionnaire which was distributed directly. The results of the study revealed that the interest in donating through UPZ STAI-JM was influenced by the variables of trust, income, and convenience by 71.4%. Where the trust variable gives the strongest influence and is followed by the income variable on the interest in donating. Meanwhile, the convenience variable does not influence the interest in donating.
Path Analysis Tingkat Pengangguran Terbuka dan Kemiskinan di Kabupaten Langkat Harahap, Muhammad Arfan; Hasibuan, Sri Wahyuni
Jurnal EMT KITA Vol 8 No 3 (2024): JULY 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v8i3.2689

Abstract

Unemployment and poverty remain persistent issues that governments, especially regional administrations, continuously strive to address. The analysis of unemployment and poverty varies across regions due to different datasets. This study reveals the latest data related to research variables in Langkat Regency. Path analysis was employed to accurately measure the influence of variables through intervening variables with dynamic macroeconomic data. The regression model in sub-structural 1 indicates a direct influence of economic growth and inflation on unemployment, showing a combined effect of 65%. Furthermore, the sub-structural regression model 2 reveals a direct influence of unemployment on poverty, while economic growth and inflation do not directly affect poverty. However, collectively, economic growth, inflation, and unemployment show an influence of 85%. Other findings using path analysis demonstrate an indirect influence of economic growth and inflation on poverty through unemployment. These results enrich the literature on unemployment and poverty and provide new data for similar studies across various regions in Indonesia. These findings are expected to contribute to the literature on policy-making related to unemployment reduction and poverty alleviation in the macroeconomic context of Langkat Regency.