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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Chandra Wijaya
Mahasiswa
Computer Science & IT

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CLASSIFICATION OF PNEUMONIA USING K-NEAREST NEIGHBOR METHOD WITH GLCM EXTRACTION Chandra Wijaya; Hafiz Irsyad; Wijang Widhiarso
Jurnal Algoritme Vol 1 No 1 (2020): Jurnal Algoritme
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1864.245 KB) | DOI: 10.35957/algoritme.v1i1.431

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.
Co-Authors Hafiz Irsyad Wijang Widhiarso