PREDIKSI KASUS POSITIF COVID-19 DI INDONESIA DENGAN MENGGUNAKAN METODE BACKPROPAGATION

SABIQ, HENZO and Palupi Rini, Dian and Arsalan, Osvari (2021) PREDIKSI KASUS POSITIF COVID-19 DI INDONESIA DENGAN MENGGUNAKAN METODE BACKPROPAGATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021281520111.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021281520111_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy
Preview	Text RAMA_55201_09021281520111_0023027804_0028068806_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (1MB) | Preview
	Text RAMA_55201_09021281520111_0023027804_0028068806_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (230kB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (411kB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (136kB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (40kB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (90kB) | Request a copy
	Text RAMA_55201_09021281520111_0023027804_0028068806_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (119kB) | Request a copy

Abstract

In early 2020, it began with information from the World Health Organization (WHO) which stated that there were cases of pneumonia cluster cases with unclear etiology in Wuhan City, Hubei Province, China. On January 30, 2020, WHO designated COVID-19 as a Public Health Emergency of International Concern (PHEIC). On February 12, 2020, WHO officially designated the Novel Coronavirus disease in humans as Coronavirus Disease (COVID-19) and on March 11, 2020, declared COVID-19 a pandemic. On March 2, 2020, Indonesia has reported 2 confirmed cases of COVID-19, and as of March 25, 2020 it has reported 790 confirmed cases of COVID-19 from 24 Provinces (Ministry of Health of the Republic of Indonesia, 2020), and until now COVID-19 cases in Indonesia is growing rapidly. Prediction of COVID-19 cases in Indonesia needs to be done to minimize material and immaterial losses. The backpropagation algorithm was chosen in this study because it has been widely used in the field of prediction which has the ability to recognize any complex and nonlinear relationship. The prediction model for daily COVID-19 cases in Indonesia using the Backpropagation method gets the smallest MSE of 0.000009 and the smallest MAPE of 4.464 percent.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	World Health Organization (WHO), Public Health Emergency of International Concern (PHEIC), COVID-19, Backpropagation, Prediction
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 9966 not found.
Date Deposited:	20 Jan 2021 07:01
Last Modified:	20 Jan 2021 07:01
URI:	http://repository.unsri.ac.id/id/eprint/40344

Actions (login required)

View Item