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pro vyhledávání: '"Indah Magfirrah"'
Autor:
Indah Magfirrah, Meisyatul Ilma, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah
Publikováno v:
Jambura Journal of Mathematics, Vol 6, Iss 2, Pp 169-175 (2024)
This study compares the Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models for predicting maximum wind speed based on accuracy measured by Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).
Externí odkaz:
https://doaj.org/article/93371a73159d4693880224c701afeae4
Publikováno v:
ESTIMASI: Journal of Statistics and Its Application. :49-56
Acute respiratory infection (ARI) is an infectious desease cause by bacteria or viruses that attack the respiratory organs. This research aims to determine the best panel data regression model in the case of the factors that influence the number of p