Implementation of Forward Chaining Method in Laptop Damage Detection Expert System

Authors

  • Julian Chaniago Universitas Muhammadiyah Jambi
  • Hetty Rohayani Jambi Muhammadiyah University
  • Abd Halim Jambi Muhammadiyah University

DOI:

https://doi.org/10.61098/jarcis.v3i1.246

Keywords:

Expert system, Forward chaining, Laptop malfunction, Diagnosis accuracy, Early detection

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

Downloads

Download data is not yet available.

Author Biographies

Hetty Rohayani, Jambi Muhammadiyah University

Dean of the Faculty of Science and Technology
Jambi Muhammadiyah University

Abd Halim, Jambi Muhammadiyah University

Development Economics Study Program
Faculty of Economics and Business
Jambi Muhammadiyah University

References

R. Taufiq and A. P. Sandi, “Perancangan Sistem Pakar Diagnosa Kerusakan Laptop DenganPenerapan Metode Forward Chaining,”

Jika, vol. ISSN, pp. 260–264, 2021.

B. Wijaya and R. Tanamal, “Rancang Bangun Aplikasi Sistem Pakar Berbasis Android Menggunakan Metode Forward Chaining Untuk Mendiagnosis Kerusakan Pada Hardware Laptop,” Teknika, vol. 8, no. 1, pp. 25–35, 2019, doi: 10.34148/teknika.v8i1.150.

R. W. Dari and S. Sapriadi, “Sistem Pakar Diagnosa Kerusakan Hardware Laptop Menggunakan Metode Forward Chaining,” TeknoIS

J. Ilm. Teknol. Inf. dan Sains, vol. 13, no. 2, pp. 263–271, 2023, doi: 10.36350/jbs.v13i2.201.

H. Surya Pratama, M. Putri, M. Roby, and S. H. Tusakdiyah, “Sistem Pakar Diagnosa Kerusakan Laptop Atau Komputer Menggunakan Metode Forward Chaining,” JEKIN - J. Tek. Inform., vol. 2, no. 1, pp. 16–23, 2022, doi: 10.58794/jekin.v2i1.100.

A. Hasnan and A. Willy, “Sistem Pakar Diagnosa Kerusakan Hardware Laptop Menggunakan Meode Forward Chaining Berbasis Web,” J. Surya Inform., vol. 12, no. 2, pp. 1–7, 2022, doi: 10.48144/suryainformatika.v12i2.1364.

A. Ramadhanty, N. Azizah, and F. Chaining, “SISTEM PAKAR DIAGNOSA KERUSAKAN LAPTOP DENGAN METODE FORWARD CHAINING,” no. 29, pp. 81–88.

P. Studi, S. Informasi, and I. Hilir, “FORWARD CHAINING UNTUK MENDETEKSI KERUSAKAN KOMPUTER DAN LAPTOP,”

vol. 1, pp. 42–53, 2019.

R. Fadilla and T. Wiharko, “Penerapan Metode Forward Chaining Dalam Sistem Pakar Deteksi Kerusakan Hardware Komputer Berbasis Android,” vol. 3, no. 2, pp. 408–417, 2023.

H. Chrystianto and I. Sumardi, “Sistem Pakar Troubleshooting Kerusakan Hardware Laptop Dengan Metode Backward Chaining Berbasis Android,” J. Ilm. Infrastruktur Teknol. Inf., vol. 2, no. 1, pp. 9–15, 2021.

R. A. Fitri and S. D. Rizki, “Merancang Sistem Pakar Untuk Mendeteksi Kerusakan Pada Laptop Dengan Metode Forward Chaining,”

vol. 7, no. 1, pp. 10–11, 2022, doi: 10.37034/senatkom.v7i1.24.

Downloads

Published

2025-05-30

How to Cite

Chaniago, J., Hetty Rohayani, & Abd Halim. (2025). Implementation of Forward Chaining Method in Laptop Damage Detection Expert System. Journal of Applied Research In Computer Science and Information Systems, 3(1), 232~239. https://doi.org/10.61098/jarcis.v3i1.246

Issue

Section

Articles