Author
Listed:
- Nur Hasni Nasrudin
(College Of Computing Informatics & Mathematics, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia. Green Safe Cities (GreSafe) Research Group, Department of Build Environment Studies and Technology, College of built environment, University Teknologi MARA, 32610, Perak Branch, Perak, Malaysia)
- Muhammad Adam Emir Mohd Zuber
(College Of Computing Informatics & Mathematics, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia.)
- Rosida Ahmad Junid
(Language Studies, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia.)
- Samsiah Ahmad
(College Of Computing Informatics & Mathematics, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia.)
- Anis Zafirah Azmi
(College Of Computing Informatics & Mathematics, Universiti Teknologi MARA, Perak Branch Tapah Campus, Perak, Malaysia.)
Abstract
University students frequently encounter difficulties in successfully managing their funds, leading to financial stress, debt, and poor financial decisions. This project employs data visualisation techniques to educate university students on effective financial management, addressing common challenges such as financial stress and poor decision-making resulting from limited resources and the absence of personalised planning tools. The application simplifies intricate financial data through intuitive visualisations, enabling students to make well-informed choices. The project adheres to the Waterfall Model, progressing through distinct phases of planning, design, development, testing, and deployment. The importance of this rests in promoting healthy financial behaviours, alleviating anxiety, and enhancing students’ abilities in managing their finances. The research aims to enhance students’ understanding of financial planning by leveraging visualisation techniques. The apps were validated via usability testing and quantitatively analysed a sample of 30 Computer Science students at UiTM Tapah. Respondents confirm that the application is capable of assisting them in comprehending and managing their financial circumstances. However, the application is currently only available to university students and is dependent on Android and internet connectivity. Possible future improvements could include integrating artificial intelligence for expense prediction and expanding to iOS for improved accessibility, with the goal of reaching a wider range of user demographics.
Suggested Citation
Nur Hasni Nasrudin & Muhammad Adam Emir Mohd Zuber & Rosida Ahmad Junid & Samsiah Ahmad & Anis Zafirah Azmi, 2024.
"Enhancing Financial Literacy in Higher Education: Leveraging Mobile Data Visualization Techniques for Computer Science Student,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(3s), pages 3371-3379, August.
Handle:
RePEc:bcp:journl:v:8:y:2024:i:3s:p:3371-3379
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