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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.

Keywords: clustering, K-Means, vehicle tax payment, fixed cluster, optimum cluster

Topic: Computer Science

Link: https://ifory.id/abstract/gyYqbmFRdfL3

Conference: Mathematics, Science and Computer Science Education International Seminar (MSCEIS 2019)

Plain Format | Corresponding Author (Herbert Siregar)

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