Data Visualization on Zakat Distribution Among UiTM Students in UiTM Selangor

Authors

  • Sitti Rezkinaah Nurdin Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia
  • Fauziah Redzuan Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia
  • Rogayah Abdul Majid Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia
  • Norisan Abd Karim Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

Keywords:

Zakat, Zakat Distribution, Data Visualization, Big Data, Dashboard

Abstract

Zakat, one of Islam’s five pillars, plays a significant role in alleviating financial hardship, especially among Universiti Teknologi MARA (UiTM) students, many of whom come from low-income families. However, the current Zakat distribution faces challenges such as limited transparency and low awareness, hindering stakeholders’ ability to make informed, data-driven decisions. This research addresses the issue by developing a Zakat distribution data visualization dashboard using Jupyter Notebook, MySQL, and Power BI. The system provides interactive visualization tools that highlight patterns, trends, and disparities in Zakat allocation, thereby enabling administrators, researchers, and the public to better understand its impact. By leveraging advanced analytics, the dashboard offers a user-friendly interface to explore complex data, enabling a deeper understanding of zakat distribution flows. The project utilizes the OSEMN framework and Agile methodology to ensure systematic data handling, analysis, and visualization. This initiative empowers zakat distribution with valuable insights, facilitating informed decision-making and resource allocation. To further optimize the dashboard, we suggest expanding its scope to include data from all UiTM campuses, enabling a comprehensive analysis of zakat distribution patterns in UiTM.

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Author Biographies

Sitti Rezkinaah Nurdin, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

2022753265@student.uitm.edu.my

Fauziah Redzuan, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

fauziahr@tmsk.uitm.edu.my

Rogayah Abdul Majid, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

rogayah@tmsk.uitm.edu.my

Norisan Abd Karim, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

norisan@tmsk.uitm.edu.my

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Published

2025-12-13

How to Cite

Nurdin, S. R. ., Redzuan, F., Abdul Majid, R. ., & Abd Karim, N. . (2025). Data Visualization on Zakat Distribution Among UiTM Students in UiTM Selangor. Journal of Advanced Research Design, 135(1), 285–296. Retrieved from https://www.akademiabaru.com/submit/index.php/ard/article/view/6804
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