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

Application of Principal Component Analysis in Determining Dominant Weather Factors Against the Spread of Covid-19 in 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.

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Published

2021-01-12 — Updated on 2021-01-15

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

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