Abstrack— Coronavirus Disease 19 (COVID-19) is a
new virus that can cause respiratory infections. This virus
comes from animals that can be transmitted to humans through
splashes of their saliva. According to epidemiological data, the
average age of sufferers of this virus is 15-80 years. This virus
has an incubation period of 3-14 days which has initial
symptoms of high fever, shortness of breath, cough and runny
nose. Indonesia had the first 2 cases on March 2 2020, Covid-19
increased regularly on December 29 2020, data shows 719,219
thousand people are confirmed to have contracted Covid-19.
The problem raised in this study is how to classify the risk of
contracting the Covid-19 virus from the symptoms it causes. The
purpose of this study was to determine the accuracy value of the
risk classification of contracting the Covid-19 virus based on the
instrument used from the Cross Industry Standard Process for
Data Mining (CRISP-DM) method. The dataset used by
researchers was taken from the website
http://github.com/nshomron/covidpred. This study used the
Neural Network (NN) Algorithm with the help of the Python
tool, the accuracy of the Neural Network Algorithm (NN)
obtained a value of 95%, meaning that it has shown good
classification results. Researchers also tested the Logistic
Regression Algorithm but the accuracy value obtained was not
much different from the NN Algorithm, the Logistic Regression
Algorithm obtained an accuracy value of 94%.