RANCANG BANGUN SISTEM PAKAR DIAGNOSA PENYAKIT COVID-19 BERBASIS WEB DENGAN MENGGUNAKAN METODE CERTAINTY FACTOR (STUDI KASUS RS SANTO ANTONIO BATURAJA)
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Institusion

Institut Teknologi Perusahaan Listrik Negara

Author

SELFINA, RUTH MEGAH
Sikumbang, Hengki
Karmila, sely

Subject

Teknik Informatika 

Datestamp

2022-09-20 03:52:02 

Abstract :
The protracted COVID-19 pandemic has made the number of positive cases in Indonesia higher, many Indonesians have been exposed. The spread of COVID-19 is very fast with various variants continuing to mutate so that the death toll continues to grow. Many people do not have severe symptoms, so it is possible for them not to know that they are OTG (Asymptomatic People). This ignorance is fatal if the person continues to do activities and meets other people, this will certainly make other people who meet OTG have the opportunity to be exposed to the virus as well. With the problems that have been described, an expert system with the Certainty Factor method is needed so that the public can check yourself whether you have been exposed to COVID-19 or not. The results of this study have an accuracy rate of 90% of the 30 test data carried out. 

File :
201731079_Ruth Megah Selfina T_Revisi_Skripsi_ruth megah selfina t.pdf