Jurnal Ilmiah Sinus
Vol 14, No 2 (2016): Juli 2016

PENGELOMPOKAN TINGKAT KEAMANAN WILAYAH JAWA TENGAH BERDASARKAN INDEKS KEJAHATAN DAN JUMLAH POS KEAMANAN DENGAN METODE KLASTERING K-MEANS

Retno Tri Vulandari (Unknown)



Article Info

Publish Date
14 Jul 2016

Abstract

The level of security in Central Java declined but for each region is not the case. Based on the crime index and the number of security posts in each police region of Central Java.These data are used for grouping the two regions in Central Java, namely good security level and bad security level.K-Means clustering method is a method used to classify data based on multiple attributes.K-Means clustering method is a method used to classify data based on multiple attributes. In this study, will be applied to the K-Means method with random initial centers. It is derived from two police regions that describe the good and bad security level.The formulation of the problem is to know the areas with good and bad security level in Central Java. Based on the results, there are 8areas with good security level and 27 areas with bad security level. Keyword :Crime Index, K-Means Clustering

Copyrights © 2016






Journal Info

Abbrev

e-jurnal_SINUS

Publisher

Subject

Computer Science & IT

Description

Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information ...