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All Journal Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Bandi, Muhammad Arfan
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Computer Science & IT

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Analysis of Covid-19 Spread in Palopo City Using DBSCAN Algorithms Bandi, Muhammad Arfan; Muhammad Syahid Pebriadi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 2 (2022): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.486 KB) | DOI: 10.35585/inspir.v12i2.21

Abstract

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.
Co-Authors Muhammad Syahid Pebriadi