Algoritme Jurnal Mahasiswa Teknik Informatika
Vol 1 No 1 (2020): Jurnal Algoritme

CLASSIFICATION OF PNEUMONIA USING K-NEAREST NEIGHBOR METHOD WITH GLCM EXTRACTION

Chandra Wijaya (Mahasiswa)
Hafiz Irsyad (Unknown)
Wijang Widhiarso (Unknown)

Article Info

Publish Date
10 Oct 2020

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.

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Journal Info
Algoritme Jurnal Mahasiswa Teknik Informatika
Website

Abbrev

algoritme

Publisher

Universitas Multi Data Palembang

Subject

Computer Science & IT

Description

Jurnal Algoritme menjadi sarana publikasi artikel hasil temuan Penelitian orisinal atau artikel analisis. Bahasa yang digunakan jurnal adalah bahasa Inggris atau bahasa Indonesia. Ruang lingkup tulisan harus relevan dengan disiplin ilmu seperti: - Machine Learning - Computer Vision, - Artificial ...