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

KLASIFIKASI PNEUMONIA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Risha Ambar Wati (STIMIK GI MDP)
Hafiz Irsyad (STMIK Global Informatika MDP)
Muhammad Ezar Al Rivan (STMIK Global Informatika MDP)

Article Info

Publish Date
10 Oct 2020

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%.

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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 ...