TY - GEN
T1 - Modelling MIMO Transfer Functions for Analysis of the Relationship between Temperature and Air Humidity with the Number of Confirmation, Suspect and Probable COVID-19 in Surabaya
AU - Hudiyanti, Cinthia Vairra
AU - Buliali, Joko Lianto
AU - Saikhu, Ahmad
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/29
Y1 - 2021/6/29
N2 - In Indonesia, the first case of COVID-19 was found on March 2, 2020. Until now, the Coronavirus (COVID-19) has become a severe concern to global public health. The number of confirmed, suspected, and probable cases of COVID-19 continues to grow. Surabaya is the city with the second-highest number of confirmed patients after Jakarta. Studies have also examined the influence between the transmission of COVID-19 and some climatic variables, which impacts the number of confirmations, suspects, and probable. This research analyzed the relationship between the number of COVID-19 cases with temperature and humidity in Surabaya. The results showed that climate variables that affect only air temperature affect the suspect value. Other variables that influence each other are the number of confirmations and suspects. From the accuracy value on the test data, it can be seen that the use of the MIMO transfer function can increase the accuracy value compared to the accuracy of the test data using the ARIMA method.
AB - In Indonesia, the first case of COVID-19 was found on March 2, 2020. Until now, the Coronavirus (COVID-19) has become a severe concern to global public health. The number of confirmed, suspected, and probable cases of COVID-19 continues to grow. Surabaya is the city with the second-highest number of confirmed patients after Jakarta. Studies have also examined the influence between the transmission of COVID-19 and some climatic variables, which impacts the number of confirmations, suspects, and probable. This research analyzed the relationship between the number of COVID-19 cases with temperature and humidity in Surabaya. The results showed that climate variables that affect only air temperature affect the suspect value. Other variables that influence each other are the number of confirmations and suspects. From the accuracy value on the test data, it can be seen that the use of the MIMO transfer function can increase the accuracy value compared to the accuracy of the test data using the ARIMA method.
KW - COVID-19
KW - MIMO transfer function
KW - climate
KW - confirmation
KW - humidity
KW - probable
KW - suspect
KW - temperature
UR - http://www.scopus.com/inward/record.url?scp=85112730318&partnerID=8YFLogxK
U2 - 10.1109/ICAICST53116.2021.9497836
DO - 10.1109/ICAICST53116.2021.9497836
M3 - Conference contribution
AN - SCOPUS:85112730318
T3 - ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology
SP - 246
EP - 251
BT - ICAICST 2021 - 2021 International Conference on Artificial Intelligence and Computer Science Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Artificial Intelligence and Computer Science Technology, ICAICST 2021
Y2 - 29 June 2021
ER -
