Data Visualization of Organ Donation Trend in Malaysia

Authors

  • Nur Syahanania Mohd Saim Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia
  • Fauziah Redzuan Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia
  • Zan Azma Nasruddin Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

Keywords:

Data Analytics, Organ Donation, Data Visualization, Dashboard

Abstract

Malaysia now faces a huge challenge in dealing with the growing demand for organ transplants, with the number of organ donors limited despite ongoing government efforts to increase registration. The absence of dynamic and interesting tools to monitor and visualize organ donation trends in Malaysia hinders efforts to raise awareness and encourage participation. This research focuses on identifying system requirements, designing, and developing data visualizations that showcase Malaysian organ donation trends from 2014 to 2023 using data from the National Transplant Resource Center (NTRC). The main objective is to develop an interactive dashboard that illustrates the trend of organ donation Malaysia, offers key insights for policymakers and the public to deepen their understanding of these patterns. Additionally, the dashboard will act as an important resource for the public, researchers and government health agencies, equipping them with detailed information to improve strategies and initiatives related to organ donation. To ensure efficient development, the Waterfall model is combined with the OSEMN framework to guide data processing and visualization tasks. The research integrates data visualization techniques into an interactive dashboard, utilizing tools such as Power BI and Python libraries for data processing and graphical representation. At the end of the research, it can be concluded that, while efforts are being made to increase organ donation rates, further improvements are needed to ensure that Malaysia’s organ donation system can meet the growing demand and improve public participation.

Author Biographies

Nur Syahanania Mohd Saim, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

2023301341@student.uitm.edu.my

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

fauziahr@tmsk.uitm.edu.my

Zan Azma Nasruddin, Faculty of Computer and Mathematical Sciences, 40450 Shah Alam, Selangor, Malaysia

zanaz@tmsk.uitm.edu.my

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Published

2025-12-12

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Section

Articles