The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data

This study was conducted with the aim to the clustering of provinces in Indonesia of the risk of the COVID-19 pandemic based on coronavirus disease 2019 (COVID-19) data. This clustering was based on the data obtained from the Indonesian COVID-19 Task Force (SATGAS COVID-19) on 19 April 2020. Provinc...

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Detalles Bibliográficos
Autores principales: Abdullah, Dahlan, Susilo, S., Ahmar, Ansari Saleh, Rusli, R., Hidayat, Rahmat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173859/
https://www.ncbi.nlm.nih.gov/pubmed/34103768
http://dx.doi.org/10.1007/s11135-021-01176-w
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author Abdullah, Dahlan
Susilo, S.
Ahmar, Ansari Saleh
Rusli, R.
Hidayat, Rahmat
author_facet Abdullah, Dahlan
Susilo, S.
Ahmar, Ansari Saleh
Rusli, R.
Hidayat, Rahmat
author_sort Abdullah, Dahlan
collection PubMed
description This study was conducted with the aim to the clustering of provinces in Indonesia of the risk of the COVID-19 pandemic based on coronavirus disease 2019 (COVID-19) data. This clustering was based on the data obtained from the Indonesian COVID-19 Task Force (SATGAS COVID-19) on 19 April 2020. Provinces in Indonesia were grouped based on the data of confirmed, death, and recovered cases of COVID-19. This was performed using the K-Means Clustering method. Clustering generated 3 provincial groups. The results of the provincial clustering are expected to provide input to the government in making policies related to restrictions on community activities or other policies in overcoming the spread of COVID-19. Provincial Clustering based on the COVID-19 cases in Indonesia is an attempt to determine the closeness or similarity of a province based on confirmed, recovered, and death cases. Based on the results of this study, there are 3 clusters of provinces.
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spelling pubmed-81738592021-06-04 The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data Abdullah, Dahlan Susilo, S. Ahmar, Ansari Saleh Rusli, R. Hidayat, Rahmat Qual Quant Article This study was conducted with the aim to the clustering of provinces in Indonesia of the risk of the COVID-19 pandemic based on coronavirus disease 2019 (COVID-19) data. This clustering was based on the data obtained from the Indonesian COVID-19 Task Force (SATGAS COVID-19) on 19 April 2020. Provinces in Indonesia were grouped based on the data of confirmed, death, and recovered cases of COVID-19. This was performed using the K-Means Clustering method. Clustering generated 3 provincial groups. The results of the provincial clustering are expected to provide input to the government in making policies related to restrictions on community activities or other policies in overcoming the spread of COVID-19. Provincial Clustering based on the COVID-19 cases in Indonesia is an attempt to determine the closeness or similarity of a province based on confirmed, recovered, and death cases. Based on the results of this study, there are 3 clusters of provinces. Springer Netherlands 2021-06-03 2022 /pmc/articles/PMC8173859/ /pubmed/34103768 http://dx.doi.org/10.1007/s11135-021-01176-w Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Abdullah, Dahlan
Susilo, S.
Ahmar, Ansari Saleh
Rusli, R.
Hidayat, Rahmat
The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title_full The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title_fullStr The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title_full_unstemmed The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title_short The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data
title_sort application of k-means clustering for province clustering in indonesia of the risk of the covid-19 pandemic based on covid-19 data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173859/
https://www.ncbi.nlm.nih.gov/pubmed/34103768
http://dx.doi.org/10.1007/s11135-021-01176-w
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