(Peer Review + Similarity + Dopcument) Parameters Estimation of generalized Richards Model

Rayungsari, Maya and Aufin, Muhammad and Imamah, Nurul (2020) (Peer Review + Similarity + Dopcument) Parameters Estimation of generalized Richards Model. Matematika Universitas Gorontalo.

	Text peer review parameter estimation_Nurul Imamah.pdf Download (197kB)
	Text cek plagiasi Parameter estimation.pdf Download (1MB)
	Text artikel jambura.pdf Download (696kB)

Abstract

In this research, genetic algorithm was implemented to estimate parameters in generalized Richards model by adjusting COVID-19 case data in Indonesia.Data collected were the daily new cases and cumulative number of COVID-19 case in Indonesia from early March to early June 2020, that was reported bydataboks.katadata.co.id. The best pair of parameters was selected based on the lowest cost function value, determined from the distance between data withestimated model and real data. Next, model with estimated parameters is used to predict new cases and cumulative cases for upcoming days. Numericalsimulations were carried out so that the peaks and ends of the COVID-19 pandemic can be seen easily. Keywords:Parameters Estimation; Generalized Richards Model,; COVID-19; Genetic Algorithm

Item Type:	Peer Review
Subjects:	500 Natural Science and Mathematics > 510 Mathematics > 519 Probabilities & Applied Mathematics
Depositing User:	Nurul Imamah Ah
Date Deposited:	22 Dec 2021 02:47
Last Modified:	22 Dec 2021 02:47
URI:	http://repository.unmuhjember.ac.id/id/eprint/11134

Actions (login required)

View Item