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All Journal Conference on Innovation and Application of Science and Technology (CIASTECH) Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Buana Ilmu Infotech: Jurnal Informatika & Teknologi KLIK: Kajian Ilmiah Informatika dan Komputer Scientific Student Journal for Information, Technology and Science Jurnal Buana Pengabdian
Adi Rizky Pratama
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Religion Agriculture, Biological Sciences & Forestry Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Journal : KLIK: Kajian Ilmiah Informatika dan Komputer

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Sistem Pakar Deteksi Kerusakan Laptop Menggunakan Algoritma Forward Chaining Dan Backward Chaining Azis Fikri Marsandi; Adi Rizky Pratama; Dwi Sulistya Kusumaningrum; Tatang Rohana
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 5 No. 1 (2024): Agustus 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v5i1.2041

Abstract

An expert system is an information system that contains the thoughts and knowledge of an expert in solving specific problems. Therefore, expert systems are considered effective and beneficial solutions for diagnosing laptop malfunctions. This application is developed using PHP programming language with MySQL as the database. The data obtained from a field expert and relevant journals on laptop malfunctions is then entered into the database and processed to display analysis results and solutions. The development of this expert system can be used to identify laptop malfunction symptoms, making initial diagnosis easier and providing knowledge to the general public who may not understand the early symptoms of laptop malfunctions. In this study, a software application is designed to assist in diagnosing laptop malfunctions. This application is expected to help users diagnose laptop malfunctions using forward chaining and backward chaining algorithms. Based on expert testing, the confidence level obtained is 87% for the forward chaining algorithm and 81% for the backward chaining algorithm
Co-Authors Agung Irawan Ahmad Fauzi Ayu Juwita Ayuni Evita Rahayu Azis Fikri Marsandi Bagus Priambada Cici Emilia Sukmawati Deden Wahiddin Deni Yusup Dwi Sulistya Kusumaningrum Dwiki Riksa Maulana Euis Nurlaelasar Hilman Fahrul Rahman Indra, Jamaludin Jose Agustian Juwita, Ayu Ratna Kukuh Ardy Nugroho Lusiana Rahmatiani M Andrian Agustyan Muhammad Naufal Bahreisy Ninda Nurul Rhamadani Purwani Husodo Puteri Maheda Rahmat Rahmat Sulaiman Rasyid Nugroho Ray Pamungkas Rizka Ayu Permana Rizki Mohamad Eka Marsa Sadjat Satriyo Aji Laksono Satriyo Sutan Faisal Tatang Rohana Tohirin Al Mudzakir Tohirin Mudzakir Tohirn Al Mudzakir Yana Cahyana Yudi Firmansyah Yusuf Eka Wicaksana