@thesis{thesis,
		author={Anggita  Ratih Kristiyaningrum},
		title ={Penerapan Metode Jaringan Syaraf Tiruan backpropagation untuk sistem pakar diagnosis penyakit gangguan pernapasan},
		year={2017},
		url={https://repository.ittelkom-pwt.ac.id/17/},
		abstract={Base on records of the WHO (World Health Organization),four million people including children died of Respiratory diseases, Rhinitis, and Pharingitis, as well as handling is not optimal from the healthcare was able to increase the number of morbidity and mortality the diseases. Therefore, this research proposes the application of nerve network method toruan as expert system diagnosis of respiratory diseases in children. Technology of neural network with backpropagation is a technology that can recognize the intricate patterns so much used in many cases. This research uses 160 data divided into two parts namely 130 data for training and 30 daata for test data, using a maximum iteration of 100000 epoch, with the target error of 0.001, resulting in error values of MSE 0.000998536 and the value of the coefficient correlation (R) is worth 0.99776.While the value of accuracy for system diagnosis is reached the value of 66.66%.
Key word : Artificial neural network, backpropagation, Expert System, Disease of respiratory disorders.}
		}