FIXEL: TOPSIS-Driven Mobile Application for Roadside Assistance Provider Decision Making

FIXEL: TOPSIS-Driven Mobile Application for Roadside Assistance Provider Decision Making

Authors

  • Mohd Suffian Sulaiman College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Mohd Fitri Afiq Azmi College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Zuraidah Derasit College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
  • Azri Azmi Intelligence Informatics Department, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.24191/jcrinn.v9i2.431

Keywords:

TOPSIS, MCDM, Progressive Web Application, AHP, mobile application

Abstract

Many drivers have faced the struggle of getting help when their vehicle breaks down on the road. This difficult situation is extremely stressful because there are limitations to seeking help, such as the service provider being too far away or the service provider's contact number being unavailable. The complication of deciding to choose a service provider is also occurring because of the eagerness to fulfil different kinds of aspects, such as the lowest price of the services and the shortest distance from the service provider. From the service provider’s perspective, it has become a challenge to get new customers when they are unfamiliar with their surroundings. Usually, the drivers will choose the most popular service provider, which may be far away from them. These issues sparked the motivation for this study, which aims to assist drivers and service providers through the mobile platform. One of the multi-criteria decision-making methods was employed to enhance the quality of choosing the right service provider based on the criteria involved, which are service availability, prices, distances and ratings. The result of this study would benefit drivers and service providers by improving decision-making, enhancing the customer experience, optimizing resource utilization and reducing cost.

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References

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Published

2024-09-01

How to Cite

Sulaiman, M. S., Azmi, M. F. A., Derasit, Z., & Azmi, A. (2024). FIXEL: TOPSIS-Driven Mobile Application for Roadside Assistance Provider Decision Making. Journal of Computing Research and Innovation, 9(2), 44–58. https://doi.org/10.24191/jcrinn.v9i2.431

Issue

Section

General Computing
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