Implementasi Case Based Reasoning Untuk Diagnosa Kerusakan Laptop Acer
(Studi Kasus : CV. Indoraya Computer (Acer Authorized Service Provider Mataram)
Total View This Week1
Total View This Week1
Institusion
STMIK Bumi Gora
Author
Wirawan, Muhammad Hadi
Subject
T Technology (General)
Datestamp
2021-10-07 00:14:49
Abstract :
This study aims to build a CBR system in diagnosing damage to Acer laptops using the K-Nearest Neighbor method. CBR (Case Based Reasoning) is a method that has a unique way of working, namely a case-based logical way of thinking, where the results of cases that have been analyzed are obtained from cases that have happened before. In a sense, this method is a method that can draw conclusions based on previous experience [1]. This is important in order to create a system that can help make it easier for technicians at Acer ASP (Authorized Service Provider) Mataram to analyze damage to Acer laptops so that they can carry out repair / replacement of parts appropriately based on the suitability of symptoms to previous cases. The method used in developing this CBR system is the K-Nearest Neighbor (KNN). This method was chosen because of the consideration that the KNN algorithm works using a similarity pattern, so this method uses the similiarity calculation formula (similarity). Damage analysis is identified through the features stored as parameters to obtain a solution. These features are obtained from knowledge acquisition, such as 2 interviews with an expert [2]. The results of this study indicate the testing of system precision against the identification results by testing its accuracy to produce relevant outputs with an accuracy value of 95.04%. The test was carried out on 25 cases with a threshold value of 0.5, the level of accuracy is calculated based on a comparison with other values that are considered correct. The accuracy value has two levels, namely 0 and 1. 0 means that the results between the system and the real are not the same, and 1 means that the results of the system with the real condition are the same.
This study aims to build a CBR system in diagnosing damage to Acer laptops using the K-Nearest Neighbor method. CBR (Case Based Reasoning) is a method that has a unique way of working, namely a case-based logical way of thinking, where the results of cases that have been analyzed are obtained from cases that have happened before. In a sense, this method is a method that can draw conclusions based on previous experience [1]. This is important in order to create a system that can help make it easier for technicians at Acer ASP (Authorized Service Provider) Mataram to analyze damage to Acer laptops so that they can carry out repair / replacement of parts appropriately based on the suitability of symptoms to previous cases. The method used in developing this CBR system is the K-Nearest Neighbor (KNN). This method was chosen because of the consideration that the KNN algorithm works using a similarity pattern, so this method uses the similiarity calculation formula (similarity). Damage analysis is identified through the features stored as parameters to obtain a solution. These features are obtained from knowledge acquisition, such as 2 interviews with an expert [2]. The results of this study indicate the testing of system precision against the identification results by testing its accuracy to produce relevant outputs with an accuracy value of 95.04%. The test was carried out on 25 cases with a threshold value of 0.5, the level of accuracy is calculated based on a comparison with other values that are considered correct. The accuracy value has two levels, namely 0 and 1. 0 means that the results between the system and the real are not the same, and 1 means that the results of the system with the real condition are the same.
Download
book
BibTex
Latex, Jabref
cloud_download
Original Resource
url resource Institution
