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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Wati, Risha Ambar
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Computer Science & IT

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KLASIFIKASI PNEUMONIA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Wati, Risha Ambar; Irsyad, Hafiz; Al Rivan, Muhammad Ezar
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 1 No 1 (2020): Oktober 2021 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1276.306 KB) | DOI: 10.35957/algoritme.v1i1.429

Abstract

Pneumonia is a type of lung disease caused by bacteria, viruses, fungi, or parasites. One way to find out pneumonia is by x-ray. X-rays will be analyzed to determine whether there is pneumonia or not. This study aims to classify the x-ray results whether there is pneumonia or not on the x-ray results. The classification method used in this study were Support Vector Machine (SVM) and Gray Level Co-Occurrence (GLCM) for the extraction method. There are several stages before classification, namely cropping, resizing, contrast stretching, and thresholding then extracted using GLCM and classified using SVM. The results showed that the best accuracy of 62.66%.
Co-Authors Hafiz Irsyad M Ezar Al Rivan