Assessments of the data management practices in zakat institutions in Malaysia: a concept paper

Awang Abu Bakar, Normi Sham and Yahya, Norzariyah and Abdullah, Lili Marziana and S. Abd. Aziz, Madihah and Baharuden, Ahmad Fazreen and Rosli, Rozaini and Jumaan, Ibrahim Ali (2025) Assessments of the data management practices in zakat institutions in Malaysia: a concept paper. In: 10th International Conference on Computing, Engineering and Design (ICCED), 11-12 December 2024, Jeddah, Saudi Arabia.

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Abstract

This paper assesses the data analytics practices within zakat institutions in Malaysia, focusing on the challenges and opportunities presented by the increasing complexity of data management. As zakat institutions are responsible for collecting and distributing funds to eligible recipients, efficient data handling and analysis are critical for decision-making and ensuring transparency in zakat distribution. This study examines the current state of data management in institutions like Lembaga Zakat Selangor (LZS) and explores how advanced data analytics, including predictive models and machine learning algorithms, can enhance the efficiency of zakat management. By employing a mixed-methods approach, the research investigates both quantitative data from zakat payers and qualitative insights from institutional staff. The study highlights the potential of predictive analytics to forecast future zakat payers and improve collection strategies. Key findings emphasize the need for better data integrity and the integration of technologies such as Random Forests and XGBoost to optimize zakat collection and distribution. The paper concludes that adopting comprehensive data analytics practices is essential for modernizing zakat institutions, ensuring greater accountability, and achieving more effective poverty alleviation through zakat funds.

Item Type:	Proceeding Paper (Other)
Uncontrolled Keywords:	data analytics, zakat, predictive analysis, machine learning, forecast
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Normi Sham Awang Abu Bakar
Date Deposited:	18 Jun 2025 16:15
Last Modified:	18 Jun 2025 16:15
URI:	http://irep.iium.edu.my/id/eprint/121590

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