Penerapan Principal Component Analysis dalam Penentuan Faktor Dominan Cuaca Terhadap Penyebaran Covid-19 di Surabaya

Authors

  • Khusnia Nurul Khikmah a:1:{s:5:"en_US";s:28:"STATE UNIVERSITY OF SURABAYA";}

Keywords:

Covid-19, Factor, Principal Component Analysis, Surabaya, Weather

Abstract

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the transmission can mediate human-to human by enviroment. According to Indonesian Meterological, Climatological, and Geophysical Agency found that weather and climate were supporting factors of COVID-19 outbreak so, research and analysis is carried out regarding the most factor were supporting the spread of COVID-19. In this study, using secondary data obtained from data reported by Indonesian Meterological, Climatological, and Geophysical Agency. According the aims of this study by using Principal Component Analysis (PCA) there are three principal components which represents the most factor were supporting the spread of COVID-19 they are temperature, humidity, and length of sunshine.

References

K. K. R. Indonesia. https://www.kemkes.go.id/folder/view/full-content/structure-faq.html (accessed Jul. 26, 2020).

N. Van Doremalen et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N. Engl. J. Med., 382 (16) : 1564–1567, 2020.

S. Poudel, Knowledge and Attitudes of Adults in Jhapa District Towards Coronavirus Disease 2019 (COVID-19), 2020.

Z. Wu & J. M. McGoogan, Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Jama, 323 (13) : 1239–1242, 2020.

M. M. Sajadi, P. Habibzadeh, A. Vintzileos, S. Shokouhi, F. Miralles-Wilhelm & A. Amoroso. “Temperature and latitude analysis to predict potential spread and seasonality for COVID-19,” Available SSRN 3550308, 2020.

M. B. Araujo & B. Naimi. Spread of SARS-CoV-2 Coronavirus likely to be constrained by climate. medRxiv, 2020.

M. Wareza. BMKG:Suhu Dan Kelembapan Tak Ideal Bagi Penyebaran Covid-19. [Online]. Available: https://www.cnbcindonesia.com/news/20200404143119-4-149777/bmkg-suhu-kelembapan-ri-tak-ideal-bagi-penyebaran-covid-19, 2020.

H. Abdi & L. J. Williams. Principal component analysis. Wiley Interdiscip. Rev. Comput. Stat., 2 (4) : 433–459, 2010.

I. T. Jolliffe. Principal component analysis. Technometrics, 45 (3) : 276, 2003.

F. Solimun, AAR & Nurjannah. Multivar. Stat. Method Struct. Equ. Model. Based WarpPLS. 2017.

S. Astutik. Analisis Multivariat: Teori dan Aplikasinya dengan SAS. Universitas Brawijaya Press, 2018.

R. A. Johnson & D. W. Wichern, Applied multivariate statistical analysis, 5 (8). Prentice hall Upper Saddle River, NJ, 2002.

Downloads

Published

2021-01-12 — Updated on 2021-05-15

Versions

Issue

Vol. 2, No. 1, Januari, 2021 : Estimasi

Section

Articles

License

Copyright

It is the author's responsibility to ensure that his or her submitted work does not infringe any existing copyright. Authors should obtain permission to reproduce or adapt copyrighted material and provide evidence of approval upon submitting the final version of a manuscript.