Decision Support System for Diagnosing Mobile Phone Failure Using Rule-Based Technique

Authors

  • Siti Aisyah Zainal Abidin Faculty of Computer Science and Mathematics, Universiti Teknologi MARA Melaka, Malaysia
  • Nur Suhailayani Suhaimi Faculty of Computer Science and Mathematics, Universiti Teknologi MARA Melaka, Malaysia

Keywords:

Decision support system, mobile phone failure, failure diagnosis, rule-based technique

Abstract

Nullfix Mobile Seri Kembangan is a mobile phone repairing service branch in Selangor that provides services to people who have problems with their mobile phones. In diagnosing the failure that is encountered by a customer, there are two types of failure; hardware faults and software faults. However, a phone technician found that there are a few problems in the current phone failure diagnosis process such as difficulty in determining the real problem, time consuming and lack of expertise. A computerized system that helps in diagnosing failure is developed to reduce these problems. The aim of this project is to develop a web-based system that implement the rule-based technique to assist technician to diagnose mobile phone failure. The rule-based technique is used due to the suitability of the technique for specific problems or situations. The objectives of this project are to gather and analyze data from Nullfix Mobile Seri Kembangan, to identify the rules for this system, to design the system by using rule-based technique and to develop the system to diagnose mobile phone failure. This project is successfully developed by performing rule-based technique. The system works by the technician selecting conditions that are related to the phone problem to know the solutions. The result of this system is that it displays the type of failure with the associated solution and the reasoning for why the solution is selected. This project has successfully achieved a satisfactory result. In the future, it is recommended that more types of failure can be added and other phone repairing service company can use the system for better enhancements of this system.

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Published

2023-10-18

How to Cite

Siti Aisyah Zainal Abidin, & Nur Suhailayani Suhaimi. (2023). Decision Support System for Diagnosing Mobile Phone Failure Using Rule-Based Technique. Journal of Advanced Research in Computing and Applications, 17(1), 14–19. Retrieved from https://akademiabaru.com/submit/index.php/arca/article/view/5018
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