Eksponensial
Vol 9 No 2 (2018)

Penerapan Metode Fuzzy Subtractive Clustering

Nur Azizah (Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman)
Desi Yuniarti (Laboratorium Statistika Ekonomi dan Bisnis FMIPA Universitas Mulawarman)
Rito Goejantoro (Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman)



Article Info

Publish Date
22 Jan 2019

Abstract

Cluster analysis is a statistical analysis to classify the objects to be some clusters based on checked variables and similarity of character between the objects. Quality of human living or society has been influenced by many things. In reality, population density is very influential to the quality of human living because high population density will cause many problems that impact on deterioration of quality of human living. Fuzzy Subtractive Cluster (FSC) methods using the data as a candidate of cluster center, so that duty of computation is hanging on the number of data and is not hang at dimension of data. This study aims is to determine the results of FSC at clustering the district in East Borneo based on wide of the district and total of population in 2015. The result shows there is 8 until 24 districts which have high population density. From validity of cluster, it isfounded that the best result for clustering the district in East Borneo based on wide of the district and sum of citizen in 2015 is 2 clusters, there are narrow district with many citizen and wide district with few citizen.

Copyrights © 2018






Journal Info

Abbrev

exponensial

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

Description

Jurnal Eksponensial is a scientific journal that publishes articles of statistics and its application. This journal This journal is intended for researchers and readers who are interested of statistics and its ...