President University Repository

ARIMA MODEL FOR FORECASTING COVID-19 IN EAST JAVA

Show simple item record

dc.contributor.author Nugraha, Edwin Setiawan
dc.contributor.author Aulia Himmatul Ulya
dc.date.accessioned 2021-09-10T04:37:29Z
dc.date.available 2021-09-10T04:37:29Z
dc.date.issued 2021
dc.identifier.isbn 978-94-6239-378-3
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/4188
dc.description Makalah dipresentasikan pada 1st International Conference on Mathematics and Mathematics Education (ICMMED 2020). p. 398-404 en_US
dc.description.abstract Coronavirus is a group of viruses that can cause disease in both humans and animals. The newly discovered coronavirus triggers COVID-19 disease. COVID-19 is now a pandemic that is emerging in many countries around the world, including Indonesia. Several sectors have been affected as a result of this pandemic, such as medical, economics, government, industry, etc. By using ARIMA model, we try to predict the daily cases of COVID-19 that occur in East Java. We obtained this model with the help of R software. The best model we obtained was the ARIMA model (7,1,7), which we used to predict the next 14 days from November 1, 2020, to November 14, 2020. The results of forecasting obtained by comparing real data with a 99% confidence interval, we obtained that the forecasting results are close to the real data that has occurred until November 14, 2020. This prediction is expected to help various sectors affected by this pandemic, such as government, economy, health especially in East Java. en_US
dc.language.iso en_US en_US
dc.publisher Atlantis Press en_US
dc.subject COVID-19 en_US
dc.subject Statistical Modelling en_US
dc.subject Time Series Analysis en_US
dc.subject ARIMA en_US
dc.title ARIMA MODEL FOR FORECASTING COVID-19 IN EAST JAVA en_US
dc.type Conference Papers en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account