Development of a Rule-Based Laptop Damage Diagnostic Expert System Using the Forward Chaining Method
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Abstract
This study developed a rule-based expert system to diagnose laptop damage using the forward chaining method to make it easier for users to identify damage independently. This system was built through stages of needs analysis, knowledge base design containing 32 symptoms and 27 IF–THEN rules, diagnosis interface implementation, and functional testing and validation by experts. Black-box testing results show that all features function properly, while expert validation on 15 cases yields 80% accuracy, indicating that the system is capable of providing a reasonably accurate initial diagnosis. These findings indicate that the forward chaining method is effective in tracing symptoms to damage conclusions, although additional rules are still needed to address similar symptom patterns. Overall, this system provides practical benefits as a laptop troubleshooting tool and contributes to the application of rule-based reasoning methods in the context of electronic devices.
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References
[1] Putri Sakinah et al, “Implementation of a Forward Chaining Expert System in Diagnosing Laptop Damage,” IoTAI Journal, 2024.
[2] R. , & R. S. Suminten, “Implementasi Sistem Pakar Diagnosa Komputer,” Jurnal RESTI, 2020.
[3] Djouking Kiray & Fricles Ariwisanto Sianturi, “Diagnose Expert System Computer Malfunction Certainty Factor Method,” Journal of Computer Networks, Architecture and High Performance Computing, 2023.
[4] Kasman Rukun et al, “Design and Analysis of Expert System Based on Information System to Diagnose Computer Failures Using Forward Chaining Method,” International Journal of Engineering and Technology, 2021.
[5] Anif Farizi, “Sistem Pakar Untuk Mendiagnosa Kerusakan Komputer Dengan Menggunakan Metode Forward Chaining,” Edu Komputika Journal, 2020.
[6] Rahma Melyana Romadhoni & Afta Ramadhan Zayn, “Sistem Pakar Untuk Mendiagnosa Kerusakan Hardware Laptop Menggunakan Metode Certainty Factor,” Al-Mantiq, vol. 2023.
[7] Luh Gede Astuti & Gede Aditya Mahardika Pratama, “The Expert System Design to Identify Laptop Damage by Applying Certainty Factor Method,” International Research Journal of Engineering, IT and Scientific Research, 2021.
[8] Erwin Okta Resa Dwiyan, “Expert System for Damage Diagnosis on Laptop Using Forward Chaining Method,” IJEEIT, 2022.
[9] S. , & N. P. Russell, “Artificial Intelligence: A Modern Approach,” Pearson, 2021.
[10] M. , & A. E. Dewi, “Penerapan Metode Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Hardware Komputer,” JTSI, 2021.
[11] H. A. , & A. A. ahman, “An Expert System for Laptop Fault Diagnostic Assistance,” Journal of Supply Chain & Digital Manufacturing, 2023.
[12] R. , & R. S. Suminten, “Sistem Pakar Diagnosis Kerusakan Komputer Menggunakan Metode Forward Chaining,” Jurnal RESTI, 2023.
[13] S. , & A. S. Kodavade, “A Universal Object Oriented Expert System Framework for Fault Diagnosis,” Int J Intell Sci, 2023.
[14] P. , & P. J. Winston, “Foundations of Artificial Intelligence,” Addison-Wesley, 2021.
[15] E. , & A. J. E. urban, “Decision Support Systems and Intelligent Systems,” Prentice Hall, 2020.
[16] Novitasari et al, “Expert System for Laptop Damage Diagnosis Using Naïve Bayes-Certainty Factor Method,” J KOMA, 2024.
[17] Murjiyanto Krisno et al, “Sistem Pakar Deteksi Kerusakan Laptop Dengan Metode Forward Chaining,” Journal of Informatics and Business, 2022.
[18] M. Krishnamurthi, “An Expert System Framework for Machine Fault Diagnosis,” Engineering Applications of AI, 2021.
[19] Rahmatia Wulan & Sopi Sapriadi, “Sistem Pakar Diagnosa Kerusakan Hardware Laptop Menggunakan Metode Forward Chaining,” TeknoIS, 2023.
[20] Ayde Ergado, “Self Learning Computer Troubleshooting Expert System,” IJAIA, 2020.
[21] Putri Sakinah et al, “Implementation of a Forward Chaining Expert System in Diagnosing Laptop Damage,” Internet of Things and Artificial Intelligence Journal, 2024.
[22] L. Marlinda, “Expert System to Detect Laptop Damage Using Naive Bayes Method,” Sinkron: Jurnal dan Penelitian Teknik Informatika, vol. 6, no. 2, 2022.