Clustering of District or City in Central Java Based COVID-19 Case Using K-Means Clustering
| Main Author: | Mahmudan, Ali |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Department of Mathematics, Hasanuddin University
, 2020
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| Subjects: | |
| Online Access: |
https://journal.unhas.ac.id/index.php/jmsk/article/view/10727 https://journal.unhas.ac.id/index.php/jmsk/article/view/10727/pdf_1 |
Daftar Isi:
- Coronavirus Disease 2019 (COVID-19) is a new type of disease that has never been identified in humans. Severe cases of COVID-19 can cause acute respiratory syndrome, kidney failure, and even death. COVID-19 cases have spread all over the world, including in Indonesia. One province with a high number of COVID-19 cases is Central Java Province. Therefore, it is necessary to cluster districts or cities in Central Java based on the COVID-19 case to prevent the spread of COVID-19. Clustering the cases of COVID-19 is done using k-means clustering which is a method of clustering a number of data by means of partitions. The results show that cluster 2 and cluster 3 are areas that the government should pay more attention to because they are areas with a high number of active cases and the high death cases of COVID-19 in Central Java.