KLASIFIKASI PENJUALAN SEPEDA MOTOR HONDA MENGGUNAKAN METODE K-NEAREST NEIGHBOR
No Thumbnail Available
Date
2019-01-31
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
wahyu sari yeni
Abstract
This research aims to classify of motorcycle sales at CV HONDA MAS dealer using the K-nearest neigbor (KNN) classification methods. In the classification process, the atributes used are the type and sale of motorcycles, and the data used is the last six months, from July to December in 2017, six types of motorcycle using as training data and four types of motorcycle as testing that they will get the classification result that the type of motorcycle that is very sellable is the type of BEAT STREET and VARIO 150 CBS. The results obtained from the study are the accuracy of the classification 100% and error 0%, using coufusion matrix
Description
Keywords
classification, data mining, k-nearest neighbor