Open AccessPemilihan Pelanggan Potensial Dengan Melakukan Pemetaan Area Dengan Metode Algoritma K-NN dan K-Means Di Yamaha Nusantara Motor Purwokerto
Author(s) -
Diwahana Mutiara Candrasari
Publication year - 2021
Publication title -
joined journal
Language(s) - English
Resource type - Journals
eISSN - 2621-9484
pISSN - 2620-8415
DOI - 10.31331/joined.v4i2.1942
Subject(s) - cluster analysis , index (typography) , partition (number theory) , value (mathematics) , data mining , computer science , mathematics , artificial intelligence , statistics , combinatorics , world wide web
This study proposes a clustering of potential customers at Yamaha Nusantra Motor Purwokerto based on consumer characteristics. Clustering is one of the processes of data mining that aims to partition existing objects into one or more clusters of objects based on their characteristics. The method used in this study is K-Nearest Neighbor as a determination of the feasibility of the data while K-Means is used as customer clustering. The value of the Davies Bouldin Index was examined using rapidminer while the purity validation was using Microsoft excel. The results show that the K-Means training data of the Davies Bouldin Index is 0.266 and the Purity validation is 1.3351. In the K-Means data testing the results show the Davies Bouldin Index value of 0.298 and the Purity validation of 0.6631.