TY - JOUR
T1 - Long Short-Term Memory forecasting model for dengue fever cases in Malang regency, Indonesia
AU - Lestari, Nur Aini
AU - Tyasnurita, Raras
AU - Vinarti, Retno Aulia
AU - Anggraeni, Wiwik
N1 - Publisher Copyright:
© 2021 The Authors. Published by Elsevier B.V.
PY - 2021
Y1 - 2021
N2 - Dengue Hemorrhagic Fever (DHF) tends to increase in the number of cases every year. East Java Province is one that contributes the most to the number of dengue cases, especially Malang Regency. One action that can be taken is to predict the number of dengue cases. This study aims to forecast the number of dengue cases using Long Short-Term Memory method. The model formation process in Kepanjen Sub-district produced the best accuracy with Root Mean Squared Error (RMSE) value of 5.5922 and Symmetric Mean Absolute Percentage Error (SMAPE) value of 34.429% which was carried out by involving the humidity factor.
AB - Dengue Hemorrhagic Fever (DHF) tends to increase in the number of cases every year. East Java Province is one that contributes the most to the number of dengue cases, especially Malang Regency. One action that can be taken is to predict the number of dengue cases. This study aims to forecast the number of dengue cases using Long Short-Term Memory method. The model formation process in Kepanjen Sub-district produced the best accuracy with Root Mean Squared Error (RMSE) value of 5.5922 and Symmetric Mean Absolute Percentage Error (SMAPE) value of 34.429% which was carried out by involving the humidity factor.
KW - Dengue hemorrhagic fever
KW - Forecasting
KW - Long short-term memory
KW - Malang regency
UR - http://www.scopus.com/inward/record.url?scp=85123806368&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.12.131
DO - 10.1016/j.procs.2021.12.131
M3 - Conference article
AN - SCOPUS:85123806368
SN - 1877-0509
VL - 197
SP - 180
EP - 188
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 6th Information Systems International Conference, ISICO 2021
Y2 - 7 August 2021 through 8 August 2021
ER -
