@thesis{thesis,
		author={HAIRUNNISA  ERLI and Indrianto  Indrianto and Sangadji  Iriansyah BM},
		title ={SISTEM KENDALI JEMURAN PINTAR BERBASIS NEURAL NETWORK},
		year={2018},
		url={http://156.67.221.169/4595/},
		abstract={The purpose of this study is. As an alternative and automation of
household processes. In this development is based on using artificial
neural network methods. Algorithm for Artificial Neural Network
training. Where inputs and targets with a network that has been built
to get information to then be carried out on the training data that
enters the next. Algorithm for Artificial Neural Network training. The
results of the light request are 0, 150, 300, 400 with lux units and the
results of rain are 0, 250, 400, 700 in units of mm of air humidity
simulated on the light and rain sensors. The input that is released will
be processed into an output that will move the motor to the
predetermined position.}
		}