@thesis{thesis,
		author={Christy  Aditya and Indrianto  Indrianto and Sangadji  Iriansyah BM},
		title ={SISTEM ARRAY MULTI KENDALI BERBASIS NEURAL NETWORK MENGGUNAKAN RASPBERRY PI},
		year={2018},
		url={http://156.67.221.169/4692/},
		abstract={there have been smarthome prototype and a smart clothes prototype that is a tool
to help household activities but controlling the prototype is not yet in one interface, to
overcome this problem a system that can control the two prototypes is needed. In the
smarthome prototype and the clothesline, the Adaline method was applied to
determine the bright, rainy conditions and information about temperature, light was
collected and sent to the MySQL database. The shipping process was supported by
the ESP8266 wifi module which was connected to raspberry as a web server, arduino
mega which would send information via the internet network. Then integrated into the
application to allow homeowners to control equipment. Through validation testing, with
the Adaline algorithm on this tool, an accuracy value of 91.7% was produced.}
		}