Design and Development of Computer Specification Recommendation System Based on User Budget With Genetic Algorithm

International Journal of New Media Technology

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Field Value
 
Title Design and Development of Computer Specification Recommendation System Based on User Budget With Genetic Algorithm
 
Creator Michael, Michael
Winarno, Winarno
 
Description There are a lot of things that must be considered when determining specifications of computer components to make sure those components chose are working compatible. According to a survey conducted to 78 respondents, about 72.5% of the respondents prefer to buy a built-up computer. The reason is because of a lack of knowledge of computer components and how to assemble computer properly. This research aimed to develop   a recommendation system that able to give recommendation of buying computer based on compatible components to be assembled, with the available budget, so that people who do not know computer components can also buy a assembled computer. The Genetic Algorithm was chosen for making this recommendation system because this Algorithm gives more alternative solutions through the process of crossover and mutation compared to the Greedy Algorithm which doesn’t produce a solution by trying all alternative solution nor  Exhaustive Search on Brute Force Algorithm which takes a long time to find optimum solution. The recommendation system of computer components specifications based on the budget available has been successfully developed using Genetic Algorithm and achieved 75.75% user satisfaction.
Index Terms— Computer Components, Genetic Algorithm, Greedy Algorithm, Recommendation System.
 
Publisher Universitas Multimedia Nusantara
 
Date 2018-06-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://ejournals.umn.ac.id/index.php/IJNMT/article/view/814
10.31937/ijnmt.v5i1.814
 
Source IJNMT (International Journal of New Media Technology); Vol 5 No 1 (2018): International Journal of New Media Technology (IJNMT); 25 - 29
IJNMT (International Journal of New Media Technology); Vol 5 No 1 (2018): International Journal of New Media Technology (IJNMT); 25 - 29
2581-1851
2355-0082
 
Language eng
 
Relation http://ejournals.umn.ac.id/index.php/IJNMT/article/view/814/620
 
Rights Copyright (c) 2018 International Journal of New Media Technology
http://creativecommons.org/licenses/by-sa/4.0
 

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