KLASIFIKASI VIRAL PNEUMONIA MENGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK DAN SUPPORT VECTOR MACHINE
Abstract
Cases of Corona Virus Disease 2019 (Covid-19) have been found in Indonesia since March 2019, for diagnosis in addition to the Real Time - Polymerase Chain Reaction (RT-PCR) examination, a Thorax X-ray is also carried out to detect the presence of Pneumonia. Pneumonia is an inflammation of the air sacs in the lungs that can fill with fluid. Pneumonia can be caused by a bacterial, viral or fungal infection. The proposed method combines the CNN method with SVM for the classification of viral Pneumonia with bacterial Pneumonia. The results of this study are expected to help radiology officers in classifying Pneumonia caused by viruses from the results of Thorax X-rays. The performance of this system is measured using confusion matrix and produces a score of average accuracy 0.85.
Keywords: Convolutional Neural Network, Covid-19, Support vector Machine, Viral Pneumonia.
ABSTRAK
Kasus Corona Virus Disease 2019 (Covid-19) ditemukan di Indonesia sejak Maret 2019, untuk penegakan diagnose selain pemeriksaan Real Time – Polymerase Chain Reaction (RT-PCR) juga dilakukan pemeriksaan Rontgen Thorax untuk mendeteksi adanya Pneumonia. Pneumonia merupakan peradangan pada kantung udara pada paru-paru yang dapat berisi cairan. Penyebab Pneumonia bisa berasal dari infeksi bakteri,virus ataupun jamur. Metode yang diusulkan menggabungkan metode CNN dengan SVM untuk klasifikasi Pneumonia virus dengan Pneumonia bakteri. Hasil dari penelitiasn ini diharapkan dapat membantu petugas radiologi dalam mengklasifikasikan Pneumonia yang disebabkan oleh virus dari hasil Rontgen Thorax. Performa sistem ini diukur menggunakan confusion matrix dan menghasilkan skor akurasi rata-rata sebesar 0.85.
Kata Kunci: Convolutional Neural Network, Covid-19, Support Vector Machine, Viral Pneumonia
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References
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