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All Journal Journal of Applied Research In Computer Science and Information Systems
Abd Halim
Jambi Muhammadiyah University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Implementation of Forward Chaining Method in Laptop Damage Detection Expert System Julian Chaniago; Hetty Rohayani; Abd Halim
Journal of Applied Research In Computer Science and Information Systems Vol. 3 No. 1 (2025): Juni 2025
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v3i1.246

Abstract

Expert systems are a branch of artificial intelligence designed to replicate the reasoning ability of specialists. This study applies the forward chaining method to build a web-based expert system for diagnosing laptop malfunctions. The system’s knowledge base was constructed from 20 common laptop malfunction symptoms, identified through literature review, user questionnaires, and interviews with repair technicians, and translated into inference rules. To evaluate performance, the system was tested on 50 malfunctioning laptops. Results show that the expert system achieved an accuracy rate of 85%, indicating its effectiveness in detecting various hardware and software problems. This research demonstrates that forward chaining can support non-expert users in performing early fault detection, thereby reducing repair costs and dependence on professional technicians
Co-Authors Hetty Rohayani Julian Chaniago