Analisis Perkembangan Covid-19 di Kota Medan Menggunakan Time Series Arima
dc.contributor.advisor | Herianto, Tulus Joseph | |
dc.contributor.author | Rismanda, Aurelia Puspa | |
dc.date.accessioned | 2022-11-02T02:54:12Z | |
dc.date.available | 2022-11-02T02:54:12Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/52460 | |
dc.description.abstract | Coronavirus Disease 2019 (COVID-19) is a type of infectious respiratory disease caused by the SARS-CoV-2 virus. The Covid-19 pandemic is an epidemic that is almost all over the country or continent that infects many people. The city of Medan is one of those listed as a city with a red zone. This study aims to determine the development of Covid-19. This study uses the ARIMA time series method. The ARIMA method comes from a combination of Autoregressive (AR), Moving Average (MA). The ARIMA method that fits the Covid-19 data is the ARIMA (1,1,0) model. at parameter p-value > 0.05, the parameter results obtained are AR(1) of 0.056 for confirmed cases treated, 0.011 for confirmed cases cured and 0.089 for confirmed death. So the forecast for the next 1 year period starts from April 2022 to April 2023. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | time series | en_US |
dc.subject | ARIMA | en_US |
dc.subject | Autoregressive | en_US |
dc.subject | Moving Average | en_US |
dc.title | Analisis Perkembangan Covid-19 di Kota Medan Menggunakan Time Series Arima | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM192407013 | |
dc.identifier.nidn | NIDN0011079205 | |
dc.identifier.kodeprodi | KODEPRODI49401#STATISTIKA | |
dc.description.pages | 67 Halaman | en_US |
dc.description.type | Kertas Karya Diploma | en_US |
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Diploma Papers (Statistics) [957]
Kertas Karya Diploma (Statistika)