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All Journal In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)
Aulia Wanda Puspitasari
Departemen Matematika, Fakultas MIPA, Universitas Padjadjaran
Arts Computer Science & IT Economics, Econometrics & Finance Other

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Simulasi Perhitungan Analisis Cluster pada Kasus Penyakit Menular Menggunakan Bahasa Pemrograman Python Aulia Wanda Puspitasari; Herlina Napitupulu; Nurul Gusriani
In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Vol 22 No 2 (2023): In Search
Publisher : LPPM UNIBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37278/insearch.v22i2.796

Abstract

Increasing the prevention and control of infectious diseases is currently one of the 2020-2024 health development strategic goals set by the Ministry of Health. If it left unchecked, infectious diseases can become Kejadian Luar Biasa (KLB) which result in many deaths. To optimize the handling of infectious disease transmission, it is necessary to determine which groups are the priority. One of the grouping methods that can be used is cluster analysis. This study aims to find the best cluster based on the Cophenetic Correlation Coefficient (CPCC) and Pseudo-F values. The results showed that the average linkage method was the best method with a CPCC value closest to 1, that is 0.8513. The average linkage method divides districts/cities in West Java into five clusters based on the highest Pseudo-F value.
Co-Authors Herlina Napitupulu Nurul Gusriani, Nurul