MODEL PREDIKSI JUMLAH PENDERITA COVID-19 DENGAN LAJU PERTUMBUHAN TAK KONSTAN

Authors

  • SYAFIRA KHAIRUNNISA
  • SUSILA BAHRI
  • RIRI LESTARI

DOI:

https://doi.org/10.25077/jmu.9.4.302-309.2020

Abstract

Data laju pertumbuhan Covid-19 yang tak konstan digunakan untuk konstruksi model penentuan jumlah penderita virus tersebut. Model ini dihasilkan melalui pendekatan teori graf dimana titik-titik pada graf menyatakan dua himpunan yaitu himpunan orang yang terinfeksi dan orang yang rentan terinfeksi. Sedangkan sisi-sisinya menunjukkan terjadinya proses menginfeksi. Model ini kemudian disimulasikan dengan menggunakan program Matlab untuk memprediksi jumlah orang terinfeksi pada periode ke-n.

Kata Kunci: Covid-19, Model Matematika, Prediksi Jumlah Penderita

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Published

18-02-2021

Issue

Vol. 9 No. 4 (2020)

Section

Articles

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