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Penerapan metode k-means clustering data COVID-19 di Provinsi Jakarta

Teknologi: Jurnal Ilmiah Sistem Informasi

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Title Penerapan metode k-means clustering data COVID-19 di Provinsi Jakarta
 
Creator Untoro, Meida Cahyo
Anggraini, Leslie
Andini, Maria
Retnosari, Hesti
Nasrulloh, M. Anas
 
Description The disease epidemic that attacked the respiratory area and was detected in Indonesia starting in early 2020 is the Corona Virus (COVID-19). This virus's spread is relatively easy, namely through droplets from infected patients, so that the spread is very rapid. This research was conducted to cluster the data on Covid-19 cases in Jakarta Province considering that Jakarta is the starting point for the first case of Corona in Indonesia and until now has become one of the most significant contributors to COVID-19 issues in Indonesia, namely as of December 2020 positive cases of Covid-19 reached 154,000. Souls with the healing of 139.0000 souls. The grouping was carried out based on positive and dead patients from each urban village in Jakarta Province. This study uses the k-means Method to cluster in the handling of COVID-19 cases with 2 clusters. Data distribution in cluster 1 consists of 173 data and 18 data in cluster 2. The use of k-means in this study provides information on areas with the highest and lowest number of positive cases and the highest and lowest cure rates that can be used as an evaluation in handling the Covid-virus 19.
 
Publisher Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang
 
Contributor —
 
Date 2021-04-04
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.unipdu.ac.id/index.php/teknologi/article/view/2323
10.26594/teknologi.v11i2.2323
 
Source Teknologi: Jurnal Ilmiah Sistem Informasi; Vol 11, No 2 (2021): July; 59-68
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi; Vol 11, No 2 (2021): July; 59-68
2527-3671
2087-8893
 
Language eng
 
Relation https://journal.unipdu.ac.id/index.php/teknologi/article/view/2323/1221
 
Rights Copyright (c) 2021 Meida Cahyo Untoro, Leslie Anggraini, Maria Andini, Hesti Retnosari, M. Anas Nasrulloh
http://creativecommons.org/licenses/by-nc-sa/4.0