Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming

Authors

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

DOI:

https://doi.org/10.24252/msa.v8i1.14569

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

[1] 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
[2] 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
[3] Haign John, (2002) Probability Models. Springer. London.
[4] David J. Olive, (2014). Statistical Teory and Inferences. Springer. London.
[5] Murray Logan,(2010) Biostatistical Design and Analysis Using R, John Wiley & Sons, Inc. New York.
[6] Gergely Daróczi ,(2015)Mastering Data Analysis with R. Packt Publishing. Birmingham, UK.
[7] Data Covid-19 Indonesia. https://prod-hub-indexer.s3.amazonaws.com/files/685be21cd0034247b5ceeac996d947fe/0/full/4326/685be21cd0034247b5ceeac996d947fe_0_full_4326.csv

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Published

2020-07-06

How to Cite

[1]
A. Sauddin, T. A. Nurma, and K. Nurfadilah, “Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming”, MSA, vol. 8, no. 1, pp. 64–71, Jul. 2020.

Issue

Vol. 8 No. 1 (2020): Volume 8 Nomor 1

Section

Artikel

License

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