| Abstrak/Abstract |
World Health Organizations declared that
Coronavirus Disease 2019 (COVID-19) outbreak pandemic in
March 2020. Countries around the world are stepping up
effort to halt the spread of this pandemic. Some countries are
scrambling to tackle this virus by applying lockdown policy. As
of 10 August 2020, there have been confirmed 19.718.030 total
cases and 728.013 total deaths of COVID-19 [2]. COVID-19
detection is vital to decide the subsequent step in handling the
patients. One strategy that may be applied for COVID-19
detection is classification approach primarily based totally on
chest x-ray of the patients. Convolutional neural network has
been successfully applied in practical applications. It is a type
of machine learning which the model is designed to learn
classification tasks directly from an image. It recognizes
patterns directly from image pixel. These patterns are used to
classify images and to eliminate the need of manual feature
extraction. The classification provides outcomes with recall,
precision, and accuracy had been respectively 94.99%, 95%,
and 95.47% for model 1 and 97.73%, 95%, and 96.59% for
model 2. |
