Perbandingan Metode Single Linkage, Complete Linkage Dan Average Linkage dalam Pengelompokan Kecamatan Berdasarkan Variabel Jenis Ternak Kabupaten Sidoarjo

  • UIN Sunan Ampel Surabaya
  • UIN Sunan Ampel Surabaya
https://doi.org/10.25139/inform.v4i2.1696
Abstract views: 5133 , PDF downloads: 2334
Keywords: farm animals, single linkage, complete linkage, average linkage, cluster analysis

Abstract

Livestock products are widely used by the community in their daily lives, for example as food ingredients, industrial material sources, labor resources, fertilizer sources and energy sources. This study aims to cluster livestock potential with data on livestock population in Sidoarjo Regency in 2017 with single linkage, complete linkage and average linkage method and comparing performance of the methods. In this cluster, the data will be grouped into 3 clusters. The results of the three clusters were obtained by sixteen sub-districts in the first cluster with the potential for low livestock and each one in the second and third clusters for single linkage and average linkage. While complete linkage obtained fifteen sub-districts in the first cluster with high potential for livestock, two sub-districts in the second cluster with the potential of medium livestock and one sub-district in the third cluster with the potential for high farm animals. In the comparison of the standard deviation ratio value, the smallest value of 0.222 is obtained by complete linkage, which shows that complete linkage is better than single linkage and average linkage in the case of subgrouping based on Sidoarjo regency livestock types.

Author Biographies

, UIN Sunan Ampel Surabaya
Program Studi Matematika
, UIN Sunan Ampel Surabaya
Program Studi Matematika

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Published
2019-07-31
How to Cite
, & . (2019). Perbandingan Metode Single Linkage, Complete Linkage Dan Average Linkage dalam Pengelompokan Kecamatan Berdasarkan Variabel Jenis Ternak Kabupaten Sidoarjo. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 4(2). https://doi.org/10.25139/inform.v4i2.1696
Issue
Vol. 4 No. 2 (2019)
Section
Volume 4 No. 2 2019

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