3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Classification System for the Level Spread of Covid-19 Cases in Bandung Regency Using the Algorithm Method Naive Bayes Method

Elsa Dwiyanti, Wina Witanti & Gunawan Abdillah
Publisher: IEOM Society International
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Track: Undergraduate Student Paper Competition
Abstract

COVID-19 is a disease caused by a new type of corona virus, namely SARS-CoV-2. The most common symptoms of COVID-19 victims are fever, dry cough, and fatigue. This virus has spread to almost all countries, including West Bandung Regency. Transmission of this virus can be directly transmitted from one person to another, of course this is what causes the number of COVID-19 cases to continuously increase. So far, the use of COVID-19 vaccines is being developed, some of which are still in the experimental stage. However, a vaccine that is truly effective against the COVID-19 virus has not yet been found. Therefore, this study aims to classify the level of COVID-19 cases in Bandung Regency to predict the spread of the corona virus and suppress the number of COVID-19 cases so that it does not continue to increase. The method used in this research is to use one of the data mining algorithms, namely the Naive Bayes algorithm as a classification.

Keyword :COVID-19 ; Klasifikasi ; Text Mining ; Kabupaten Bandung ; Naïve Bayes

Published in: 3rd Asia Pacific International Conference on Industrial Engineering and Operations Management, Johor Bahru, Malaysia

Publisher: IEOM Society International
Date of Conference: September 13-15, 2022

ISBN: 978-1-7923-9162-0
ISSN/E-ISSN: 2169-8767