Penerapan Metode Agglomerative Hierarchical Clustering untuk Klasifikasi Kabupaten/Kota di Propinsi Jawa Timur Berdasarkan Kualitas Pelayanan Keluarga Berencana

Alfi Fadliana, Fachrur Rozi

Abstract


Agglomerative hierarchical clustering methods is cluster analysis method whose primary purpose is to group objects based on its characteristics, it begins with the individual objects until the objects are fused into a single cluster. Agglomerative hierarchical clustering methods are divided into single linkage, complete linkage, average linkage, and ward. This research compared the four agglomerative hierarchical clustering methods in order to get the best cluster solution in the case of the classification of regencies/cities in East Java province based on the quality of “Keluarga Berencana” (KB) services. The results of this research showed that based on calculation of cophenetic correlation coefficient, the best cluster solution is produced by average linkage method. This method obtained four clusters with the different characteristics. Cluster 1 has an “extremely bad condition” on the qualification of KB clinics and the competence of KB service personnel. Cluster 2 has a “good condition” on the qualification of KB clinics and “bad condition” on the competence of KB service personnel. Cluster 3 has a “bad condition” on the qualification of KB clinics and “medium condition” on the competence of KB service personnel. Cluster 4 have a “medium condition” on the qualification of KB clinics and a “good condition” on the competence of KB service personnel

Keywords


cluster analysis; agglomerative hierarchical clustering; cophenetic correlation coefficient; Keluarga Berencana

Full Text:

PDF

References


J. Hair, W. Black, B. Babin and R. Anderson, Multivariate Data Analysis, 7th Edition, New Jersey: Pearson Prentice Hall, 2010.

A. Bluman, Elementary Statistics: A Step by Step Approach, 5th Edition, New York: McGraw-Hill, 2004.

R. Johnson and D. Wichern, Applied Multivariate Statistical Analysis, 6th Edition, Upper Saddle River, New Jersey 07458: Prentice Education, Inc, 2007.

A. Rencher, Methods of Multivariate Analysis, 2nd Edition, New York: John Wiley & Sons, Inc, 2002.

S. Saraçli, N. Doğan and I. Doğan, "Comparison of Hierarchical Cluster Analysis Methods by Cophenetic Correlation," Journal of Inequalities and Applications 2013, p. 203, 2013.




DOI: http://dx.doi.org/10.18860/ca.v4i1.3172

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Editorial Office
Mathematics Department,
Universitas Islam Negeri Maulana Malik Ibrahim Malang
Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
Faximile (+62) 341 558933
e-mail: cauchy@uin-malang.ac.id
 

Creative Commons License
Cauchy (ISSN: 2086-0382 / E-ISSN: 2477-3344) by http://ejournal.uin-malang.ac.id/index.php/Math is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.