JSTAR
Vol 4 No 2 (2024): Jurnal Statistika Terapan

Penerapan Cophenetic Correlation pada Pemilihan Metode Pembentukan Dendrogram untuk Mengelompokkan Alat Kontrasepsi Peserta KB Aktif dengan Pendekatan Bottom-Up: Studi pada Level Kabupaten/Kota di Provinsi NTT Tahun 2023

Syfriza Davies Raihannabil (Politeknik Statistika STIS)



Article Info

Publish Date
30 Dec 2024

Abstract

NTT is a province with relatively high population growth and birth rates. High population growth and birth rates can hinder development. Therefore, the government initiated a program to reduce the birth rate and control the population growth rate through the family planning program (FPP). However, there are still many couples of childbearing age (PUS) in NTT who have not experienced the benefits and access to FPP. Therefore, this research aims to group districts/cities in NTT based on the contraceptive devices of active family planning participants. This research applies a bottom-up approach with the cophenetic correlation coefficient as the basis for selecting the dendrogram formation method. From the research results, the average linkage method with a cophenetic correlation coefficient of 0.884 is the best method for producing dendrograms. The research produced 4 optimal clusters: 1 district/city joined in cluster 1, 3 districts/cities joined in cluster 2, 2 districts/cities joined in cluster 3, and 16 districts/cities joined in cluster 4. Cluster 4 has the characteristics of using all tools contraception is low, even so low that it is categorized as a priority area for government intervention in FPP.

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Journal Info

Abbrev

JSTAR

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

Aim: JSTAR studies applied statistics at the regional and national levels of East Nusa Tenggara which are directed to contribute to the government in making regional development policies. JSTAR pays special attention to official and modeling statistics, big data and data mining, and the application ...