Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms
Pandemic Covid-19 has spread rapidly, causing a severe health crisis worldwide, including Indonesia. As is well known, due to Indonesia’s diverse population, there are differences in the number of cases between cities. Therefore, a distribution clustering process is needed to develop a map of Covid-...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2022-12-01
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| Series: | Inspiration |
| Subjects: | |
| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/21 |
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| Summary: | Pandemic Covid-19 has spread rapidly, causing a severe health crisis worldwide, including Indonesia. As is well known, due to Indonesia’s diverse population, there are differences in the number of cases between cities. Therefore, a distribution clustering process is needed to develop a map of Covid-19 cases which aims to enable optimal handling of this pandemic. In this study, DBSCAN was used for the clustering process of Covid-19 spread on Palopo city. Clustering using the DBSCAN algorithm is needed to find out the clusters that are formed and the location of Covid-19 spread in certain areas. The result of clustering using DBSCAN show that the largest cluster has a total 0f 432 cases that occurred throughout the time period with an average of 15 cases per day. After visualization, the most distribution of Covid-19 was in the central area of Palopo City and concentrated in Wara District with 250 cases. |
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| ISSN: | 2088-6705 2621-5608 |