2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)180-188
Number of pages9
JournalProcedia Computer Science
Volume197
DOIs
Publication statusPublished - 2021
Event6th Information Systems International Conference, ISICO 2021 - Virtual, Online, Italy
Duration: 7 Aug 20218 Aug 2021

Keywords

  • Dengue hemorrhagic fever
  • Forecasting
  • Long short-term memory
  • Malang regency

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