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All Journal Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Dina Mariana
STMIK Global Informatika MDP
Computer Science & IT

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Klasifikasi Pneumonia pada Chest X-Ray Paru-paru dengan Ekstraksi Fitur Local Binary Pattern Menggunakan Support Vector Machine Hafiz Irsyad; Dina Mariana
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 12 No 1 (2021): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v12i1.294

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 or x-ray. X-ray results will be analyzed by experts in the field to find out whether there is pneumonia or not. This study aims to classify the x-ray results whether there is pneumonia or normal. The method used for the classification of Support Vector Machine (SVM) and Local Binary Pattern (LBP) feature extraction. Stages carried out in the image before the classification are Cropping and Resize, then feature extraction using Local Binary Pattern and in classification using Support Vector Machine produces the best accuracy of 65.63%. Keywords : Pneumonia, Chest X-Ray, LBP, SVM
Co-Authors Hafiz Irsyad