Tri Ginanjar Laksana and Ade Rahmat Iskandar and Wan Nooraishya Wan Ahmad (2024) Comparison of CPU damage prediction accuracy between certainty factor and forward chaining techniques. Jurnal_Pekommas, 9 (1). pp. 1-12.
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Abstract
CPU plays a vital role in determining the performance of a computer system in contemporary computing. If the CPU sustains damage, it may result in significant interruption to the computer's functioning. This study presents a computational technique that aims to enhance the accuracy of CPU damage predictions. The system utilizes fundamental knowledge of damage diagnosis and is validated by evaluating 11 early damage symptoms that are often seen. The Certainty Factor and Forward Chaining approaches ascertain CPU damage by quantifying the degree of truth in the expert's opinion conclusions by comparing the harm symptoms. The second algorithm assesses the confidence level in a development by considering the value assigned to the system by two parties: the user and the expert. The suggested algorithm yields the mean accuracy of the certainty factor approach in diagnosing computer damage utilizing the constructed system. The diagnostic system has a precision rate of 84.9%, indicating that 9 out of 10 diagnoses made by the system align with those made by an expert. Next the outcomes of the Forward Chaining algorithm test. All questions about symptoms were answered affirmatively, except for one test which had a negative response. A total of 39 diagnoses were obtained, with an average value of 82.9%. The study findings indicate that the suggested Certainty Factor method is more suited for use in embedded systems or web-based applications, however it is constrained by low processing.
| Item Type: | Article |
|---|---|
| Keyword: | Comparison, Prediction, Damage, CPU, Centainty Factor, Forward Chaining. |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | ABDULLAH BIN SABUDIN - |
| Date Deposited: | 21 Apr 2025 11:50 |
| Last Modified: | 21 Apr 2025 11:50 |
| URI: | https://eprints.ums.edu.my/id/eprint/43552 |
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