International Journal of Zakat (IJAZ)
Vol 9 No Special (2024): International Journal of Zakat

The Zakat, Economic Growth, and Poverty Alleviation: An Artificial Neural Networks Analysis

Muis, Abdullah Ahadish Shamad (Unknown)
Al Firdausi, Muhammad (Unknown)
Akbar, Chairil (Unknown)
Gamal, Shrouq (Unknown)
Saleh, Haitham (Unknown)



Article Info

Publish Date
10 Feb 2025

Abstract

This research investigates the multifaceted relationship between zakat, economic growth (GDP), and poverty alleviation in Indonesia using Artificial Neural Networks (ANN). Our findings reveal that zakat has more prominent impact on poverty alleviation than on GDP. In particular, we identify a positive correlation between zakat distribution and GDP in Indonesia, indicating that higher zakat distribution contributes significantly to economic growth. It further reveals a negative correlation between zakat distribution and poverty, consistent with most earlier studies, suggesting that zakat significantly contributes to poverty alleviation in Indonesia. Our findings practically imply the potential economic significance of zakat in human development and solving poverty issues. Our research contributes to the novelty of Islamic philanthropic research with the power of advanced AI algorithms, offering insights that can inform policy decisions.

Copyrights © 2024






Journal Info

Abbrev

journal

Publisher

Subject

Religion

Description

International Journal of Zakat (IJAZ) is an open access journal. All accepted manuscripts are published Free of Charges. International Journal of Zakat (IJAZ) focuses on zakat studies such as general activities of zakat management, institutional foundation, zakat administers qualifications, good ...