Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB
Vol 13 No 2 (2022): Juni 2022

Implementasi Convolutional Neural Network Untuk Klasifikasi Covid-19

Asep Arwan Sulaeman (Universitas Pelita Bangsa)
Andy Susilo (Universitas Pelita Bangsa)



Article Info

Publish Date
28 Jun 2022

Abstract

Covid-19 is a disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCo2). Covid-19 is a respiratory disease ranging from mild symptoms such as influenza to lungs such as pneumonia. Some scientists conducted research on Covid-19 by transferring knowledge to computers making this research more precise. One of them is the application of machine learning with deep learning methods. This can be done by building artificial intelligence using a simple Convolutional Neural Networks (CNN) algorithm to detect lungs x-ray exposed to Covid-19. The results of data testing can predict the image of the lungs that have been processed to obtain lung predictions in Covid-19 patients. The results show that the Convolutional Neural Network algorithm can produce an accuracy value of 95% for the Covid-19 prediction model with 50 epochs and 94% with 75 epochs. Keywords: Covid-19, machine learning, deep learning, convolutional neural network Algorithm.

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Journal Info

Abbrev

sigma

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB merupakan jurnal ilmiah yang diterbitkan oleh Program Studi Teknik Informatika Universitas Pelita Bangsa (UPB) Cikarang dengan no p-ISSN 2407-3903 (Media Cetak). Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB adalah sebagai ...