KLASIFIKASI PENERIMAAN MOBIL BEKAS BERDASARKAN METODE NEURAL NETWORK

Jurnal Riset Informatika

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Field Value
 
Title KLASIFIKASI PENERIMAAN MOBIL BEKAS BERDASARKAN METODE NEURAL NETWORK
 
Creator Dirgantara, Akmal
Herdyansyah, Syarifudin
Rasenda, Rasenda
 
Description Considering the need for cars in big cities is increasing and the price of 4-wheeled vehicles is relatively expensive, used cars are a good alternative solution to offer. But in business we cannot just buy stock for a car showroom, for example, especially with a limited budget, car showroom entrepreneurs must do a thorough analysis to save the budget to open a showroom and prevent losses. This article helps open the car showroom to determine which cars are suitable as stock to be displayed in the showroom with the parameters of buying, maintenance, doors, boot lugs, and safety. That predicted using 1728 artificial neural network methods data obtained from the UCI repository with a fairly high degree of accuracy that is equal to 98.26%. This is quite efficient compared to the showroom owner who must conduct a survey in advance and ask 1 per 1 person to survey the interest in receiving a car.
 
Publisher Kresnamedia Publisher
 
Date 2020-02-12
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ejournal.kresnamediapublisher.com/index.php/jri/article/view/119
10.34288/jri.v2i1.119
 
Source Jurnal Riset Informatika; Vol 2 No 1 (2019): Periode Desember 2019; 43-48
2656-1735
2656-1743
10.34288/jri.v2i1
 
Language eng
 
Relation http://ejournal.kresnamediapublisher.com/index.php/jri/article/view/119/37
 
Rights Copyright (c) 2020 Akmal Dirgantara, Syarifudin Herdyansyah, Rasenda Rasenda
http://creativecommons.org/licenses/by-nc/4.0
 

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