Open AccessPenerapan Principal Component Analysis dalam Penentuan Faktor Dominan Cuaca Terhadap Penyebaran Covid-19 di Surabaya
Author(s) -
Khusnia Nurul Khikmah
Publication year - 2021
Publication title -
estimasi
Language(s) - English
Resource type - Journals
eISSN - 2721-3803
pISSN - 2721-379X
DOI - 10.20956/ejsa.v2i1.11943
Subject(s) - principal component analysis , covid-19 , meteorology , outbreak , indonesian , geography , agency (philosophy) , environmental science , climatology , infectious disease (medical specialty) , virology , geology , statistics , disease , mathematics , medicine , sociology , social science , linguistics , philosophy , pathology
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.