Sistem Pakar Diagnosa Kerusakan Hardware Laptop Menggunakan Metode Forward Chaining

Rahmatia Wulan Dari
Sopi Sapriadi

Abstract

Hardware damage to computers is a common problem. Proper and accurate diagnosis is essential to repair damage effectively and avoid unnecessary costs. Therefore, system experts are considered as an effective solution to help diagnose hardware damage to computers. Expert System for Diagnosing Computer Hardware Damage Using the Forward Chaining Method is an expert system built to assist in diagnosing computer hardware damage. The forward chaining method is used in this system to predict possible hardware damage based on the symptoms reported by the user. This expert system uses a structured knowledge base to perform a diagnosis. This knowledge base contains information about the symptoms associated with hardware damage to a computer, as well as possible solutions to fix them. The diagnostic process in this expert system begins with the user reporting the symptoms he is experiencing. Then, the system will achieve these symptoms with the knowledge base to find the most probable solution. This process is performed automatically by the system and does not require the intervention of a computer technician. The diagnostic results produced by this system are quite accurate, namely 85% and can help users to save time and money spent on repairing computers. In addition, this expert system can also assist computer technicians in diagnosing and repairing damage to computer hardware.

Keywords

Expert System; Hardware Damage; Computer; Forward Chaining

References

D. A. Kusuma and C. Chairani, “Rancang Bangun Sistem Pakar Pendiagnosa Penyakit Paru-Paru Menggunakan Metode Case Based Reasoning,” J. Infotel, vol. 6, no. 2, pp. 57–62, 2014.

D. Gusmita, Y. S. Eirlangga, and S. Sapriadi, “Sistem Pakar Dalam Menentukan Kenaikan Pangkat Anggota Polri Menggunakan Metode Forward Chaining” Journal of Science and Social Research, vol. 6, no. 1, pp. 241-244, 2023.

D. Nofriansyah, R. Gunawan, and E. Elfitriani, “Sistem Pakar Untuk Mendiagnosa Penyakit Pertussis (Batuk Rejan) Dengan Menggunakan Metode Teorema Bayes,” J. Teknol. Sist. Inf. dan Sist. Komput. TGD, vol. 3, no. 1, pp. 41–54, 2020.

G. Anggara, G. Pramayu, and A. Wicaksana, “Membangun sistem pakar menggunakan teorema bayes untuk mendiagnosa penyakit paru-paru,” SEMNASTEKNOMEDIA ONLINE, vol. 4, no. 1, pp. 3–5, 2016.

K. E. Setyaputri, A. Fadlil, and S. Sunardi, “Analisis Metode Certainty Factor pada Sistem Pakar Diagnosa Penyakit THT,” J. Tek. Elektro, vol. 10, no. 1, pp. 30–35, 2018.

K. Kusrini, Sistem Pakar Teori dan Aplikasi, 1st ed. Yogyakarta: ANDI, 2006.

Khairan AR, “Sistem Pakar Antisipasi Kegagalan Pengembangan Sistem Informasi dengan Pendekatan Forward Chaining “Elkawnie: Journal of Islamic Science and Technology. vol. 3, no. 2, 2017.

L. E. Sari and W. Hadikurniawati, “Sistem Pendukung Keputusan Penentuan Skincare Untuk Kulit Wajah Menggunakan Metode Decision Tree (Studi Kasus: Kosmetik Wardah),” Proceeding SENDIU 2020, pp. 978–979, 2020.

M. Arhami, “Konsep Dasar Sistem Pakar”. Yogyakarta, 2005.

M. R. Handoko and N. Neneng, “Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web,” J. Teknol. Dan Sist. Inf., vol. 2, no. 1, pp. 50–58, 2021.

N. Sulardi and A. Witanti, “Sistem Pakar Untuk Diagnosis Penyakit Anemia Menggunakan Teorema Bayes,” J. Tek. Inform., vol. 1, no. 1, pp. 19–24, 2020.

Rahayu, E., Thoriq, M., & Sapriadi, S. “Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo”. Jurnal Informasi dan Teknologi, vol. 4, no. 4, pp. 247-252. 2022.

R. I. Borman, R. Napianto, P. Nurlandari, and Z. Abidin, “Implementasi Certainty Factor Dalam Mengatasi Ketidakpastian Pada Sistem Pakar Diagnosa Penyakit Kuda Laut,” Jurteksi (Jurnal Teknol. Dan Sist. Informasi), vol. 7, no. 1, pp. 1–8, 2020.

Sapriadi, S., Yunus, Y., & Dari, R. W. “Prediksi Jumlah Kedatangan Mahasiswa Training Dengan Metode Monte Carlo”. Jurnal Informasi dan Teknologi, vol. 4, no. 1, pp. 9-13, 2022.

S. Alim, P. P. Lestari, and R. Rusliyawati, “Sistem Pakar Diagnosa Penyakit Tanaman Kakao Menggunakan Metode Certainty Factor Pada Kelompok Tani Pt Olam Indonesia (Cocoa) Cabang Lampung,” J. Data Min. Dan Sist. Inf., vol. 1, no. 1, pp. 26–31, 2020.

S. Batubara, S. Wahyuni, and E. Hariyanto, “Penerapan Metode Certainty Factor Pada Sistem Pakar Diagnosa Penyakit Dalam,” in Seminar Nasional Royal (SENAR), 2018, vol. 1, no. 1, pp. 81–86.

Suminten, Rani, “Sistem Pakar Diagnosa Kerusakan Laptop Menggunakan Metode Forward Chaining”, Jurnal Resti (Rekayasa sistem dan teknologi informasi), vol 2. no.3, pp. 604-610. 2018.

Wenda, A., Kraugusteeliana, K., Suryanto, A. A., Alam, S. N., & Suhada, K. Sistem Pakar Untuk Mendiagnosa Penyakit Paru-Paru dengan Menggunakan Metode Teorema Bayes. JURNAL MEDIA INFORMATIKA BUDIDARMA, 7(1), 82-88. 2023.

W. M. Kifti and I. Hasian, “Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI (Preference Selection Index),” J. Media Inform. Budidarma, vol. 5, no. 1, pp. 762–768, 2021.

Y. Ali and Aprina, “Penerapan Metode Preference Selection Index (PSI) Dalam Pemberian Dana BOS Pada Siswa Kurang Mampu,” Semin. Nas. Teknol. Komput. Sains, no. 1, pp. 590–597, 2019.

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