Jurnal Mantik
Vol. 5 No. 1 (2021): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Classification of Covid-19 Using Feature Extraction GLCM and SVM Algorithm

Muhamad Saenudin (Universitas Singaperbangsa Karawang)
Fauzan Haq (Universitas Singaperbangsa Karawang)
Riza Ibnu Adam (Universitas Singaperbangsa Karawang)



Article Info

Publish Date
30 Apr 2021

Abstract

Coronavirus Disease (COVID-19) is a new variant of the corona virus that mutates and spreads rapidly between humans. The high rate of transmission and spread is not matched by the fast process of diagnosis because it has to go through a polymerase chain reaction (PCR) test in the laboratory.To identify quickly, efficiently and effectively, then a classification system is used using x-ray images of the chest using the Gray Level Co-occurrence Matrix (GLCM) method and the Support Vector Machine (SVM) algorithm. The data used are digital images of normal chest X-Ray (CXR) diagnosis and positive diagnosis of Covid-19 with 408 training data and 128 test data.  The test is carried out on the GLCM parameters, namely with a distance of d = 1,2,3 and angles , , ,  and feature extraction with contrast, correlation, energy, homogeneity, and dissimilarity.The test results show that the highest accuracy is at the distance d = 1 and the angle ?= is 90.47% and the lowest accuracy is at the distance d = 3 and the angle ? = is 80.35%.

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Journal Info

Abbrev

mantik

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...