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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| Language: | English |
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Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat
2022-12-01
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| Series: | Inspiration |
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| Online Access: | https://ojs.unitama.ac.id/index.php/inspiration/article/view/21 |
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| author | Muhammad Arfan Bandi Muhammad Syahid Pebriadi |
| author_facet | Muhammad Arfan Bandi Muhammad Syahid Pebriadi |
| author_sort | Muhammad Arfan Bandi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-72ad3ddfb0fb4a659761a46f1641aa3b |
| institution | Kabale University |
| issn | 2088-6705 2621-5608 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Universitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian Masyarakat |
| record_format | Article |
| series | Inspiration |
| spelling | doaj-art-72ad3ddfb0fb4a659761a46f1641aa3b2025-01-28T05:31:39ZengUniversitas Teknologi Akba Makassar, Lembaga Penelitian dan Pengabdian MasyarakatInspiration2088-67052621-56082022-12-011221710.35585/inspir.v12i2.2121Analysis of Covid-19 Spread in Palopo City Using DBSCAN AlgorithmsMuhammad Arfan Bandi0Muhammad Syahid Pebriadi1STMIK Handayani MakassarPoliteknik Negeri BanjarmasinPandemic 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.https://ojs.unitama.ac.id/index.php/inspiration/article/view/21clusteringdbscancovid-19 spread |
| spellingShingle | Muhammad Arfan Bandi Muhammad Syahid Pebriadi Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms Inspiration clustering dbscan covid-19 spread |
| title | Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms |
| title_full | Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms |
| title_fullStr | Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms |
| title_full_unstemmed | Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms |
| title_short | Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms |
| title_sort | analysis of covid 19 spread in palopo city using dbscan algorithms |
| topic | clustering dbscan covid-19 spread |
| url | https://ojs.unitama.ac.id/index.php/inspiration/article/view/21 |
| work_keys_str_mv | AT muhammadarfanbandi analysisofcovid19spreadinpalopocityusingdbscanalgorithms AT muhammadsyahidpebriadi analysisofcovid19spreadinpalopocityusingdbscanalgorithms |