Penerapan Algoritme Backpropagation Neural Network Untuk Estimasi Jumlah Kasus DBD Berdasarkan Data Cuaca

The number of dengue fever cases in Jakarta is still crucial; in 2018 -2022, there have been changes in cases in a short time.Based on surveillance data, the number of cases in 2022 will be 3,190 people.One of the efforts to reduce the incidence of Dengue Hemorrhagic Fever (DHF) is forecasting the incidence of DHF to prevent an increase in DHF cases, which continues every year.One of the solutions to control the cases is to forecast the case number.This research proposed forecasting built with an artificial neural network for dengue fever sufferers in Central Jakarta using surveillance data, adding parameters, average temperature, humidity, rainfall, and average wind speed.The data used is public through surveillance and the BMKG website, and the data used is from 2018 to 2022 with 1826 records.In this study using the backpropagation neural network algorithm, the model used is 4-3-1, where there are 4 variables in the input layer, 3 units in the hidden layer, 1 unit in the output layer with a learning rate value of 0.04, and momentum of 0.09 and the results are (RMSE) 4,347.