Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming

Penulis

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

DOI:

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

Abstrak

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

Biografi Penulis

Adnan Sauddin, Program Studi Matematika UINAM

Program Studi Matematik UINAM

Try Azisah Nurma, Universitas Islam Negeri Alauddin Makassar

Program Studi Matematika

Khalilah Nurfadilah, Universitas Islam Negeri Alauddin Makassar

Program Studi Matematika

Referensi

[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

Diterbitkan

2020-07-06

Cara Mengutip

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

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