@thesis{thesis,
		author={Anto  Indri and Iqbal  Muhammad and Susanti  Meilia Nur Indah},
		title ={PROTOTIPE PENDETEKSI SKIMMING PADA ANJUNGAN TUNAI MANDIRI BERBASIS EMBEDDED SYSTEM MENGGUNAKAN METODE PERCEPTRON},
		year={2019},
		url={http://156.67.221.169/4448/},
		abstract={Skimming automatic teller machines is one of Cybercrime, one of the banks in
Indonesia that has tried to overcome this by the way if the card reader or pinpad
at the ATM is dismantled, the ATM will be offline. Skimming has occurred at BRI
KC Bank Kuala Simpang, Aceh Tamiang, Aceh 8 times. Because of this the
author wants to make a tool that can ward off Skimming. The author designed a
tool using Node Mcu and using the Perceptron method. This method is used by
the ATM skimming detector prototype, using NodeMCU combined with LDR
(Light Dependence Resistor) and Ultrasonic sensors to detect Skimmers installed
at ATMs (Automated Teller Machines). Bank officers will get notifications from the
Pushullet application.}
		}