ANALISIS KEBIJAKAN PEMERINTAH TERHADAP KASUS COVID-19 DI BALI MENGGUNAKAN MODEL DERET WAKTU DENGAN FAKTOR INTERVENSI

Authors

  • NURFITRI IMRO’AH
  • NUR’AINUL MIFTAHUL HUDA

DOI:

https://doi.org/10.25077/jmu.10.3.369-378.2021

Abstract

Kebijakan mengenai kewajiban pelaku perjalanan domestik yang datang ke Bali untuk menunjukkan hasil negatif tes swab Polymerase Chain Reaction (PCR) merupakan salah satu bentuk intervensi dalam menekan banyaknya penambahan kasus positif Coronavirus Disease 2019 (Covid-19) di Bali. Penelitian ini menggunakan model deret waktu dengan faktor intervensi dalam menganalisis dampak setelah dikeluarkannya kebijakan tersebut. Selain itu, penelitian ini juga memprediksi banyaknya kasus Covid-19 di Bali mulai 29 - 31 Maret 2021. Hasil dari penelitian ini menunjukkan bahwa kebijakan yang dikeluarkan oleh Pemerintah Provinsi Bali merupakan salah satu langkah tepat dalam menangani penambahan kasus harian positif Covid-19 di Bali. Hal itu terlihat dari penurunan banyaknya kasus positif di Bali hingga akhir Maret 2021.

Kata Kunci: Covid-19, Kebijakan, Deret waktu, Intervensi

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References

Badan Pusat Statistik Indonesia, 2020. Diakses 21 Maret 2021.

Badan Nasional Penanggulangan Bencana, 2021. Diakses 21 Maret 2021.

Wei, W.W.S., 2006, Time Series Analysis: Univariate and Multivariate Methods, Edisi ke-2, Pearson Prentice Hall, New Jersey.

Box, G.E.P., dan Jenkins, G.M., 1976, Time Series Analysis: Forecasting and Control, John Wiley and Son, Inc, New York.

Cryer, J.D. dan Chan, K.S., 2008, Time Series Analysis: With Application in R, Edisi ke-2, Springer Science and Business Media, USA.

Sridharan, S., Suncica, V., Siem, Jam, dan Koopman., 2003, Intervention Time Series Analysis of Crime Rates, Journal of Econometrics.

Gilmour, S., Louisa, D., Wayne, H., dan Carolyn D., 2006, Using intervention time series analysis to assess the effects of imperfectly identifiable natural events: a general method and example, Journal of Biomedical, Volume : 16.

Montgomery, D.C., Cheryl, L.J., Murat, Kulachi, 2015, Introduction to Time Series Analysis and Forecasting, John Wiley and Son, Inc, New York.

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Published

26-07-2021

How to Cite

IMRO’AH, N., & HUDA, N. M. (2021). ANALISIS KEBIJAKAN PEMERINTAH TERHADAP KASUS COVID-19 DI BALI MENGGUNAKAN MODEL DERET WAKTU DENGAN FAKTOR INTERVENSI. Jurnal Matematika UNAND, 10(3), 369–378. https://doi.org/10.25077/jmu.10.3.369-378.2021

Issue

Vol. 10 No. 3 (2021)

Section

Articles

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