Prediksi Penyakit Demam Berdarah Dengue (Dbd) Dan Tifus Menggunakan Jaringan Syaraf Tiruan Perambatan Balik (Back Propagation)
Abstract: Dengue Haemorrhagic
Fever (DHF) and Typhus are diseases which often knock over Indonesian society.
Both of these diseases, especially DBD is malignancy that able to result death
if losing time to be diagnosed. But civil society, even a doctor which is
expert, sometimes also difficult to detect DHF diagnosed earlier, because
symptom initially, tending to look like with other acute diseases. One of the
diseases that have symptom like DHF is typhus. Back Propagation Artificial
Neural Network (ANN) is one of artificial intelligences that can be applicated
in the field of health, especially for predicting a disease type. By using
input in the form of symptoms the naturalness by a patient, expected this Back
Propagation ANN system can help the doctors to diagnose the diseases that
happen to their patients, especially DHF and Typhus diseases. ANN system that
is designed to predict DHF and typhus diseases, is trained with back propagation
algorithm that using adaptive learning rate and momentum. From this research,
is got ANN system with network architecture that consist of: one input layer
with 18 neurons, one hidden layer with 125 neurons, and one output layer with 1
neuron. And also, value of constanta momentum is 0.95.This ANN system has good
performance. From 400 respondents that use for training, result of the
memorizing examination reaches percentage equal to 100%, and result of the
generalizing examination reaches 96%, from 150 new respondents
Keywords: predict, dengue
haemorrhagic fever (DHF), typhus, symptoms of disease, artificial neural
network (ANN), back propagation
Penulis: Farida Asriani, Hesti
Susilawati, Lucyana Harvianti
Kode Jurnal: jptindustridd070057
