Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
2024: SNESTIK IV

Analisis Perbandingan Klasifikasi Virus Cacar Monyet Dengan Pendekatan Algoritma Machine Learning

Bintoro, Panji (Unknown)
Zulkifli, Zulkifli (Unknown)
Putri, Nopi Anggista (Unknown)



Article Info

Publish Date
15 May 2024

Abstract

Monkeypox Virus (MPXV) is part of the Orthopoxvirus (OPXV) group within the Poxviridae family. This virus is contagious when someone has direct contact with infected individuals, animals, or contaminated materials. Transmission can occur through direct bodily contact, animal bites, respiratory droplets, or mucus in the eyes, nose, or mouth. However, since the emergence of the recent outbreak in May 2022, this disease has spread to various countries, posing a threat to develop into a global pandemic. Many machine learning algorithm approaches, including for classifying monkeypox disease, are proposed. This research suggests a system that can be used for Comparative Analysis of monkeypox virus classification with several machine learning algorithm approaches. From the work that has been done, it states that the neural network algorithm model outperforms other algorithm models. Testing the neural network algorithm model obtained accuracy of 1.0, precision of 1.0, recall of 1.0, f1-score of 1.0, and ROC-AUC of 1.00 for Monkeypox Positive and Monkeypox Negative.

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Journal Info

Abbrev

snestik

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) merupakan media publikasi atas makalah yang telah dikirimkan pada kegiatan seminar. Prosiding ini diterbitkan secara daring (media online) oleh Institut Teknologi Adhi Tama Surabaya setiap tahun mengiringi ...