@thesis{thesis,
		author={Cahyaningtyas  Rizqia and Haris  Abdul and RUSLANI  RAHMANIA},
		title ={IMPLEMENTASI METODE FAST FOURIER TRANSFORM DAN KNEAREST NEIGHBOR DALAM APLIKASI IDENTIFIKASI SUARA BERBASIS ANDROID},
		year={2018},
		url={http://156.67.221.169/4594/},
		abstract={The authentication systems that are developing at this time include eye iris
recognition, fingerprint recognition and voice recognition. The introduction of
sound patterns can be used as authentication because the voice patterns of
every human being are varied and different. The frequency produced by each
human is different depending on the sex, age also affects the results of the
sound pattern. This research is only focused on the process of identifying the
sound on the Smartphone that entered the training data stored on the
Smartphone drive by using the voice identification application that entered will
be converted to wav extension. The FFT and K-NN methods are able to assist
in matching new sounds or test sounds to training sounds. The K-NN method
requires training data and test data in the form of a discrete frequency signal
value to be matched, and the FFT method can produce the discrete frequency
value. This voice identification application uses the Waterfall method as a
software development system. This study produces an output in the form of a
name that matches the name with the closest distance between the training
data and the input data and produces the closest distance value between the
input sound and the training data sound. After testing with proximity testing as
many as 6 different input data with 4 training data so that this application has an
accuracy value of 83% and an eror of 16%.}
		}