Sistem Pakar Mendiagnosa Kerusakan Laptop untuk Membantu Menemukan Masalah Berbasis Web Menggunakan Metode Forward Chaining

Authors

  • Syamsul Dahri Universitas Pamulang
  • Hasan Basri Universitas Pamulang
  • Ika Komala Annafiyah Universitas Pamulang
  • Tabah Yulistio Universitas Pamulang
  • Aries Saifudin Universitas Pamulang http://orcid.org/0000-0002-3882-633X
  • Irpan Kusyadi Universitas Pamulang

Keywords:

Artificial intelligence, expert systems, forward chaining, laptop damage, PC damage

Abstract

Artificial intelligence is computer science that studies how to activate machines (computers) to complete work done by humans, even better than work done by humans. A broken laptop is a common problem, and expert systems are designed to help technicians solve the problem. Therefore, by using the network-based forward link method, an expert system application program was created to identify damaged laptops. The forward link method is a search method based on data or facts, then the collected facts are matched with the IF part of the IF-THEN rule. The expert system can identify damage based on signs of damage determined by the rules and implemented through the forward link method in the process of determining signs of damage. This application is here to make it easier for users to detect damage that occurs so they can solve problems more quickly and accurately.

References

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Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 4 No. 4 Oktober 2021

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Published

2021-10-31

How to Cite

Dahri, S., Basri, H., Annafiyah, I. K., Yulistio, T., Saifudin, A., & Kusyadi, I. (2021). Sistem Pakar Mendiagnosa Kerusakan Laptop untuk Membantu Menemukan Masalah Berbasis Web Menggunakan Metode Forward Chaining. Jurnal Teknologi Sistem Informasi Dan Aplikasi, 4(4), 267–272. Retrieved from https://openjournal.unpam.ac.id/index.php/JTSI/article/view/14772

Issue

Vol. 4 No. 4 (2021): Jurnal Teknologi Sistem Informasi dan Aplikasi

Section

Article

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Copyright (c) 2021 Syamsul Dahri, Hasan Basri, Ika Komala Annafiyah, Tabah Yulistio, Aries Saifudin, Irpan Kusyadi

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