Abstract:
Disease is a bad condition in specific organs or body parts caused by harmful microorganisms
such as bacteria, viruses, wounds, chemical imbalances in the body,
exposure to toxins, and the appearance of imperfect cells. From 2020 until now,
Indonesia has been shocked about the spread of a fairly serious disease. The case was
caused by the coronavirus, known as covid-19 (Corona Virus Disease-2019). The
spread of the Covid-19 virus is swift. Human-to-human transmission occurs near an
infected person. The main transmission is an infected person sneezing and respiratory
droplets such as influenza, the oral or nasal mucosa, and the lungs of people who
breathe infected air. The government has issued various policies to minimize the spread
of COVID-19 by imposing social distancing, physical distancing, large-scale social
restrictions (PSBB), and restrictions on community activities (PPKM) in several areas.
Problems arise that make it difficult for the Health Office to group areas that will
produce the central points for the spread of COVID-19 sufferers, so data is grouped
based on the number of sufferers. This study aimed to determine the regional grouping
of the spread of COVID-19 in Pekanbaru City. The data used is data on positive cases
of COVID-19 obtained from the Pekanbaru City Health Office and data on the number
of residents in Pekanbaru City based on 83 villages. The method used in this research is
K-Means Clustering. K-Means Clustering is a method that can group areas with the
potential for COVID-19. Based on the research results, there are 46 villages in cluster
1, 7 villages in cluster 2 and 30 villages in cluster 3.
