Location Determination of Vehicle Tax Payment Center Using K-Means Clustering Algorithm Herbert Siregar, Fiko
UPI
Abstract
Determination of the right location of vehicle tax payment center is very important due to an increase in the number of vehicle, and the limitation of its facilties and officers. Moreover, the distribution of taxpayer residential is uneven. This research proposed an alternative method to determine the right location by using K-Means clustering algorithm. In order to get the fixed cluster and the optimun one, we cluster 1,031 geolocation (latitude and longitude) of respondence and evaluate it by using silhouette coefficient. The result show that our cluster have a good consistency.
