Sistem Deteksi Penyakit Menggunaklan Algoritma Klasifikasi Convolutional Neural Network dan Support Vector Machine Dengan Citra Chest X-Ray

Angely Milionita Barbalina Mayor; Charles Eferaim Mongi; Winsy Christo Deilan Weku

doi:10.35799/ijids.v1i1.49590

Authors

Angely Milionita Barbalina Mayor Universitas Sam Ratulangi
Charles Eferaim Mongi Universitas Sam Ratulangi
Winsy Christo Deilan Weku Universitas Sam Ratulangi

DOI:

https://doi.org/10.35799/ijids.v1i1.49590

Keywords:

Pneumonia, Convolutional Neural Network, Support Vector Machine, Classifacation

Abstract

The lungs are one of the important organs for breathing in humans. The lungs are one of the organs of the respiratory system which functions as a place for the exchange of carbon dioxide and oxygen in the blood. One of the diseases that is classified as dangerous is Pneumonia, which is an inflammation of the lungs caused by an infection which is also commonly known as wet lung. x-ray with digital image processing technology combined with the SVM method. The data used is a collection of chest x-ray images of lungs affected by pneumonia and normal lungs which are then divided into 80% training data and 20% testing data. The classification of chest x-ray images of normal lungs and those with pneumonia consists of several stages such as the data collection stage, the design stage, the training and testing stage and the analysis and performance calculation stage. This study obtained CNN accuracy results of 94% and SVM accuracy results of 89%.

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