Pengelompokkan Kabupaten/Kota Di Sulawesi Berdasarkan Indikator Pendidikan Menggunakan Analisis Klaster Average Linkage Dan Median Linkage

District/City Clustering In Sulawesi Based On Education Indicators Using Average Linkage Cluster And Median Linkage Analysis

Authors

  • Eka Oktavianty Program Studi Statistika, Jurusan Matematika, Fakultas MIPA, Universitas Tadulako
  • Junaidi Program Studi Statistika, Jurusan Matematika,Fakultas MIPA, UniversitasTadulako
  • Lilies Handayani Program Studi Statistika, Jurusan Matematika, Fakultas MIPA, Universitas Tadulako

DOI:

https://doi.org/10.22487/25411969.2019.v8.i3.14960

Abstract

Cluster analysis is included in the method of multivariate analysis of interdependence. Cluster analysis is a multivariate technique that classifies objects into different groups between one group and another group. This research is applied to the case of education indicators, education is important for improving the quality of human resources. Educational indicators are a measuring tool used to see how well the quality of education. Educational indicators are classified using average linkage and median linkage. The results of the analysis showed that the median linkage obtained a standard deviation ratio value of 0.061 smaller than the standard deviation ratio average linkage value of 0.078. The method that has the smallest ratio is the method with the best performance. So that grouping City Districts in Sulawesi based on education indicators in 2017 is better to use the median linkage and obtained 5 clusters formed.

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Published

2019-12-30

Issue

Vol. 8 No. 3 (2019): Volume 8 Number 3 (December 2019)

Section

Articles

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