Sistem Pakar untuk Mendiagnosis Kerusakan Komputer Menggunakan Metode Certainty Factor (Studi Kasus : Laboratorium Komputer Dasar Teknik Informatika STT-PLN)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Fachriza, Ian Ahmad
Kuswardani, Dwina
Aziza, Rosida Nur
Kuswardani, Dwina
Aziza, Rosida Nur
Subject
Teknik Informatika
Datestamp
2022-09-21 01:27:52
Abstract :
Handling computer problems in the Basic Computer Laboratory at this time need a long time because the Assistant must analyze and find references by themselves through books and the internet or submit to the hardware division. Most Assistants have never analyzed and diagnosed computer probelms so an expert system application needs to be made to assist the Assistant in conducting consultations related to computer problems quickly and easily. This expert system uses the Forward Chaining method as a process of tracing symptoms based on rules that have been made in the decision tree and Certainty Factor as a value to assume the degree of confidence from expert on the results of the diagnosis. The results of this research are web-based applications. This application was tested with a User Acceptance Test (UAT) in the form of a questionnaire given to the Laboratory Assistant and obtained a percentage of UAT results 95.45%, which means the application has been accepted and according to user requirements. The results of the Certainty Factor test method in this application were performed with 39 diagnoses from 11 early symptoms and obtained an average CF percentage 78,24%.
Handling computer problems in the Basic Computer Laboratory at this time need a long time because the Assistant must analyze and find references by themselves through books and the internet or submit to the hardware division. Most Assistants have never analyzed and diagnosed computer probelms so an expert system application needs to be made to assist the Assistant in conducting consultations related to computer problems quickly and easily. This expert system uses the Forward Chaining method as a process of tracing symptoms based on rules that have been made in the decision tree and Certainty Factor as a value to assume the degree of confidence from expert on the results of the diagnosis. The results of this research are web-based applications. This application was tested with a User Acceptance Test (UAT) in the form of a questionnaire given to the Laboratory Assistant and obtained a percentage of UAT results 95.45%, which means the application has been accepted and according to user requirements. The results of the Certainty Factor test method in this application were performed with 39 diagnoses from 11 early symptoms and obtained an average CF percentage 78,24%.
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