Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming

  • Adnan Sauddin Universitas Islam Negeri Alauddin Makassar
    (ID)
  • Try Azisah Nurma Universitas Islam Negeri Alauddin Makassar
    (ID)
  • Khalilah Nurfadilah Universitas Islam Negeri Alauddin Makassar
    (ID)

Abstract

Pada artikel ini menguraikan Langkah-langkah estimasi kejadian covid-19 di Indonesia khusus wilayan Sulawesi selatan secara real time menggunakan Bahasa R.

Author Biographies

Adnan Sauddin, Universitas Islam Negeri Alauddin Makassar
Program Studi Matematika
Try Azisah Nurma, Universitas Islam Negeri Alauddin Makassar
Program Studi Matematika
Khalilah Nurfadilah, Universitas Islam Negeri Alauddin Makassar
Program Studi Matematika

References

Bettencourt LMA, Ribeiro RM (2008) Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases. PLoS ONE 3(5): e2185. https://doi.org/10.1371/journal.pone.0002185

Mwangi TW, Fegan G, Williams TN, Kinyanjui SM, Snow RW, Marsh K (2008) Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children. PLoS ONE 3(5): e2196. https://doi.org/10.1371/journal.pone.0002196

Haign John, (2002) Probability Models. Springer. London.

David J. Olive, (2014). Statistical Teory and Inferences. Springer. London.

Murray Logan,(2010) Biostatistical Design and Analysis Using R, John Wiley & Sons, Inc. New York.

Gergely Daróczi ,(2015)Mastering Data Analysis with R. Packt Publishing. Birmingham, UK.

Data Covid-19 Indonesia. https://prod-hub-indexer.s3.amazonaws.com/files/685be21cd0034247b5ceeac996d947fe/0/full/4326/685be21cd0034247b5ceeac996d947fe_0_full_4326.csv

Published
2020-07-06
How to Cite
Sauddin, A., Nurma, T. A., & Nurfadilah, K. (2020). Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming. Jurnal MSA ( Matematika Dan Statistika Serta Aplikasinya ), 8(1), 64 - 71. https://doi.org/10.24252/msa.v8i1.14569
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