Abstract— Corona virus is an epidemic that spreads so fast.
Because this virus will spread easily through contact with
sufferers. One of the areas affected by the corona virus is
Cirebon City. To overcome the spread of the virus, it is necessary
to group the areas in the city of Cirebon. The concept of data
mining is very suitable to be applied to determine the spread of
the corona virus. K-means is one of the data mining techniques to
group areas that prevent the corona virus. The parameters or
clusters used are 3 clusters, namely low distribution level (C1),
medium distribution level (C2), and high distribution level (C3),
with 3 criteria, namely Close Contact (KE), Suspected (S), and
Confirmed (T). The data obtained are 22 Kelurahan in Cirebon
City with the level of spread of the corona virus. The results of
the calculation using k-means showed that the regions that found
the corona virus with a high level (C3) were 4 Kelurahan, a
medium level (C2) was 5 Kelurahan, and a low level was (C1) 13
Kelurahan. The results of this study become one of the input
materials and can determine the priority scale for the Cirebon
City government in dealing with the corona virus.