SISTEM PAKAR DIAGNOSA KERUSAKAN KOMPUTER DENGAN METODE CERTAINTY FACTOR MENGGUNAKAN BAHASA PEMOGRAMAN PHP DAN DATABASE MYSQL

Ferdinata, Angga (2023) SISTEM PAKAR DIAGNOSA KERUSAKAN KOMPUTER DENGAN METODE CERTAINTY FACTOR MENGGUNAKAN BAHASA PEMOGRAMAN PHP DAN DATABASE MYSQL. Sarjana thesis, Universitas Putra Indonesia YPTK Padang.

[img] Text
Skripsi_19101152610234_Angga Ferdianata_Abstrak.pdf

Download (197kB)
[img] Text
Skripsi_19101152610234_Angga Ferdianata_BAB I.pdf

Download (345kB)
[img] Text
Skripsi_19101152610234_Angga Ferdianata_Daftar Pustaka.pdf

Download (242kB)
[img] Text
Skripsi_19101152610234_Angga Ferdianata_FUll Text.pdf
Restricted to Repository staff only

Download (3MB)

Abstract

Along with the increasing number of computer user, computers damage problems become a complicated matter. It is caused by computer users that have less knowledge about computer, especially in dealing with computer hardware trouble. Therefore, it takes a system that could replace the role of an expert in diagnosing computer trouble. The system is called expert system that diagnoses the computers trouble. The purpose of this expert system is to make users easy to solve the problems on their computers without visiting computer technician. The system created is web-based expert system with Certainty Factor method, which can provide value to the result of the diagnosis so that users trust in the results given by this expert system. The method used to determine the certainty of the diagnosis of the trouble to the computer is Certainty Factor. The result of this research shows that the application of the Certainty Factor can obtain the degree of certainty of types of trouble based on the symptoms. The application built will facilitate in providing solution to the computer malfunction in the hardware that can facilitate users or engineers to find a solution quickly. Keywords : Expert System, Diagnosis Damage Computer, Certainty Factor

Item Type: Thesis (Sarjana)
Subjects: 0 Research > Ilmu Komputer
0 Research > Ilmu Komputer > Sistem Informasi
Divisions/ Fakultas/ Prodi: Fakultas Ilmu Komputer > Sistem Informasi (S1)
Depositing User: Ryan Ariadi A.Md
Date Deposited: 18 Sep 2024 02:42
Last Modified: 18 Sep 2024 02:42
URI: http://repository.upiyptk.ac.id/id/eprint/11852

Actions (login required)

View Item View Item