Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Vol 12 No 1 (2021): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer

Klasifikasi Pneumonia pada Chest X-Ray Paru-paru dengan Ekstraksi Fitur Local Binary Pattern Menggunakan Support Vector Machine

Hafiz Irsyad (STMIK Global Informatika MDP)
Dina Mariana (STMIK Global Informatika MDP)

Article Info

Publish Date
08 Apr 2021

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

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Journal Info
Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Website

Abbrev

betrik

Publisher

Sekolah Tinggi Teknologi Pagar Alam

Subject

Computer Science & IT

Description

Besemah Informatika dan Teknologi Komputer (BETRIK) adalah jurnal nasional yang diterbitkan oleh Lembaga Penelitian dan Layanan (LPPM), Sekolah Tinggi Teknologi Pagar Alam (STTP). Karya ilmiah ini diterbitkan sebanyak 6 manuskrip, dengan topik yang berkaitan dengan masalah Teknologi Informasi dan ...