Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000905	T40344	T403442020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T403442020

Publisher

Inderalaya : Fakultas Ilmu Komputer, Universitas Sriwijaya., 2020

Collation

xviii, VI-4 hlm.; ilus., tab.: 28 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Metode Backpropagation

Specific Detail Info

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Statement of Responsibility

EM

Other version/related

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