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All Journal International Journal of New Media Technology
Efraim Yahya Wijaya
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Predicting the Case of COVID-19 in Indonesia using Neural Prophet Model Efraim Yahya Wijaya; Alethea Suryadibrata
IJNMT (International Journal of New Media Technology) Vol 9 No 2 (2022): IJNMT : International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v9i2.2821

Abstract

Since the initial entry of the COVID-19 virus in Indonesia, the spread of cases increased significantly. This has a huge impact on hospitals that serve chronic COVID-19 patient. There are several ways that the government used to suppresses the spread of COVID-19 case in Indonesia, such as making PPKM policies and providing vaccinations. Through this research, the prediction method is used to find increasing and decreasing of COVID-19 cases using the Neural Prophet model. Then the model will be compared with the Facebook Prophet as comparison model. In this study dataset is used from (covid19.go.id) which was taken on 23 June 2022 with scraping technique. The results of this study indicate that the Neural Prophet model has better value in RMSE, and MAE compared to the Facebook Prophet.
Co-Authors Alethea Suryadibrata