Open Access
Sistem Pakar Diagnosa Virus Corona Dengan Metode Naïve Bayes
Author(s) -
Fareza Aditiyanto Nugroho,
Arif Fajar Solikin,
Mutiara Dwi Anggraini,
Kusrini Kusrini
Publication year - 2021
Publication title -
jurnal teknologi informasi dan komunikasi sinar nusantara
Language(s) - English
Resource type - Journals
eISSN - 2620-7532
pISSN - 2338-4018
DOI - 10.30646/tikomsin.v9i1.553
Subject(s) - covid-19 , bayes' theorem , pandemic , population , coronavirus , computer science , virology , artificial intelligence , disease , medicine , infectious disease (medical specialty) , bayesian probability , environmental health , pathology
Humans being are faced with non-natural disasters which have bad effect for population on the world. This non-natural disaster is called Corona Virus Disease (COVID-19). This COVID-19 will become a pandemic in 2020. This types of COVID-19 is coming from the Orthocronavirinae. It belongs to the Coronaviridae and the Nidovirales. This type of that virus has caused some disease to birds, mammals and also human being. Therefore, the research was conducted. The result of this research will give the information about system which related the classification human being according to their transmission to the body. This research used naïve bayes method. The result of this research is diagnostic system with the level of accuracy 94%. Thus, COVID-19 diagnostic expert system used to know the level of COVID -19 infections to human being. It can help the user knowing the next treatment.Keywords : Expert System, Naïve Bayes, Coronavirus, Covid-19