KLASIFIKASI PNEUMONIA MENGGUNAKAN METODE K-NEAREST NEIGHBOR DENGAN EKSTRAKSI GLCM

  • Chandra Wijaya Mahasiswa
  • Hafiz Irsyad
  • Wijang Widhiarso
Keywords: K-Nearest Neighbor, Gray Level Co-Occuraence, Thresholding, Contrast Stretching, Pneumonia

Abstract

Pneumonia is an inflammatory parenchymal disease caused by various microorganisms, including bacteria, micro bacteria, fungi, and viruses. This study used an X-ray to find out whether or not there was pneumonia. The objective of this study was to classify the X-ray results whether or not there was pneumonia in a fast and precise way through a program to produce good accuracy. The classification method used in this study were K-Nearest Neighbor (KNN) and Gray Level Co-Occurrence (GLCM) for the extraction method. There are several stages before being classified, namely cropping, resizing, contrast stretching, and thresholding. The results showed that the best accuracy per class was 66.20% for K = 5.

Published
2020-10-10
How to Cite
Wijaya, C., Irsyad, H., & Widhiarso, W. (2020, October 10). KLASIFIKASI PNEUMONIA MENGGUNAKAN METODE K-NEAREST NEIGHBOR DENGAN EKSTRAKSI GLCM. Jurnal Algoritme, 1(1), 33-44. Retrieved from http://jurnal.mdp.ac.id/index.php/algoritme/article/view/431