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All Journal JISA (Jurnal Informatika dan Sains)
Muhammad Satria Utama Utama
Asia Pacific University of Technology and Innovation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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K-Means Cluster Analysis of Sex, Age, and Comorbidities in the Mortalities of Covid-19 Patients of Indonesian Navy Personnel bambang suharjo; Muhammad Satria Utama Utama
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.869

Abstract

Covid-19 disease is still ongoing. It is necessary to do intensive research related to age, sex and congenital diseases so that management can be better planned. The research was conducted using data from Indonesian Navy personnel and their families, retired Indonesian Navy and their families. This study used k-means clustering for data grouping of Indonesian Navy personnel based on age, sex and congenital disease characteristics. The results of the k-means cluster clustering show that the k = 2 cluster has not been able to provide an explanation of the relationship between age, sex and comorbidity with the risk of death due to Covid-19. However, in the cluster with k = 3, it turns out that deaths due to Covid-19 are related to old age, men, even though there is no congenital disease. Meanwhile, using the k = 4 cluster, it is increasingly clear that deaths due to Covid-19 are closely related to old age, both men and women, with comorbidities.
Co-Authors Bambang Suharjo