Prediksi puncak wabah Covid-19 di Indonesia menggunakan model logistik dan forecasting dengan FB Prophet

  • Fakhoor Izaaz Wildhanrahman Institut Pertanian Bogor
  • Chamdan Laylan Abdulbaaqiy Institut Pertanian Bogor
  • Muhammad Farhan Dirhami Institut Pertanian Bogor
Keywords: covid-19, fb prophet, forecasting, logistics model, exponential model

Abstract

Covid-19 has infected many people in Indonesia, with the number of confirmed cases increasing every day; around 315,714 people have been confirmed positive for Covid-19 (data on 7 October 2020 from the covid19.go.id website). The author's team conducted this analysis intending to create a time series model of the total number of people infected with Covid-19 and predict the peak of the Covid-19 outbreak in Indonesia with the hope that the resulting model can be an initial guideline in preparation for the peak of the Covid-19 outbreak in Indonesia. The author's team analyzed logistic models and forecasting models with FB Prophet. Prediction using the logistic model results in the maximum number of cases (during peak conditions) in Indonesia of 669,595, with the peak of the outbreak occurring after 870 days (calculated starting on October 7, 2020), namely on June 22, 2022. This is proven and can be compared with the results of forecasting analysis with FBProphet. In a forecasting analysis using FB Prophet, the results show that cases of Covid-19 infection in Indonesia will continue to rise. This analysis results in a prediction that on October 22, 2020, there will be 375,393 people infected with Covid-19 in Indonesia.

Downloads

Download data is not yet available.

References

Channel News Asia. 2020. Wuhan virus outbreak: 15 medical workers infected, 1 in critical condition. [Internet]. Diakses 06 Oktober 2020. [https://www.channelnewsasia.com/news/asia/wuhanpneumonia-outbreak-health-workers-coronavirus-12294212].

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Zan,g Li., Fan, G., etc. 2020. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet.

Malato, G. 2020. Covid-19 infection in Italy. Mathematical models and predictions, A comparison of logistic and exponential models applied to Covid-19 virus infection in Italy. [Internet]. Diakses 06 Oktober 2020. [https://towardsdatascience.com/covid-19-infection-in-italy-mathematical-models-and-predictions-7784b4d7dd8d].

Perhimpunan Dokter Paru Indonesia. 2020. Panduan Praktik Klinis: Pneumonia 2019-nCoV. PDPI: Jakarta.

Relman, E. 2020. Business insider Singapore. Cited Jan 28th2020. Available on: https://www.businessinsider.sg/deadly-china-wuhan-virusspreading-human-to-human-officials-confirm-2020-1/?r=US&IR=T

Robson, W. 2019. Intro to Facebook Prophet, Walk-thru Example & Repo — Everything you need to know when starting out with Facebook’s time series forecasting tool. [Internet]. Diakses 06 Oktober 2020. [https://medium.com/future-vision/intro-to-prophet-9d5b1cbd674e].
Published
2020-12-30
How to Cite
Wildhanrahman, F., Abdulbaaqiy, C., & Dirhami, M. (2020). Prediksi puncak wabah Covid-19 di Indonesia menggunakan model logistik dan forecasting dengan FB Prophet. Unri Conference Series: Community Engagement, 2, 352-358. https://doi.org/10.31258/unricsce.2.352-358