JARINGAN SYARAF TIRUAN PREDIKSI PENYAKIT DEMAM BERDARAH DENGAN MENGGUNAKAN METODE BACKPROPAGATION
Wahyu Widodo1, Andy Rachman dan Ruli Amelia
Teknik Informatika-ITATS, Jl.Arief Rahman Hakim No 100 Surabaya
ABSTRACT
Dengue disease has been known in Indonesia since 1779. The disease be embryo of bleeding fever
disease (DBD). Dengue hemorrhagic fever (DHF) attacks the first time of Jakarta in 1969. Dengue viral disease
transmitted by Aedes mosquitoes. The Aedes mosquito has two types, namely Aedes aegypti and Aedes
albopictus. Aedes aegypti is a mosquito that carrying dengue virus and they live in the house. Aedes albopictus
is a type of mosquito that take a dengue virus but fewer concentration than Aedes aegypti. The habitat of Aedes
aegypti mosquito always at the home but Aedes albopictus at the park. Neural network is a microscopic
approach to artificial intelligence in which the information presented by the pattern of neurons. Using neural
networks self-learning and organizing ability. In the artificial neural network performed using computerized
reasoning planning methods. In this research, we use backpropagation methods. In this research, classification
of DBD process has 74% accuracy and the diagnostic accuracy of DBD has 99%..
Keywords: Dengue, Backpropagation, Neural networks, Aedes aegypti.