Randy Aldany Barasa
Universitas Prima Indonesia

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Analysis of Method C5.0 in Triggering Factors The Number of Covid-19 Increases or Decreases After Getting the Vaccine Alferedo Tanzil; Randy Aldany Barasa; Yonata Laia; Jepri Banjarnahor
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 6 No. 2 (2023): Jurnal Sistem Informasi dan Ilmu Komputer Prima (JUSIKOM Prima)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v6i2.3410

Abstract

Because we now know that many things make everyone sick, such as fever, flu, cough, and other diseases that are said to be easily transmitted, we need a system that can overcome the above problems. This study uses the K-NN method to examine what factors influence the increase in the number of people infected with Covid-19. The factors tested in this study were frequent violations of health practices, overcrowding, and weak immune systems. The K-NN method can overcome the problem of knowing the factors causing the increase in Covid-19 patients after vaccination.