Aplikasi Pengenalan Wajah Menggunakan Algoritma Backpropagation dan Voila Jones

Currently, security system technology is growing rapidly. Scientists in the field of technology constantly create or find new ways to work to improve the security system on computers, especially security systems using the methods of computer vision such as identification or the form of recognition of an object. With the current technological developments, especially in the field of computer vision is expected to be able to answer all the challenges of the security system. One of the most popular computer security systems is the system of identification or recognition of an object or image using a particular algorithm. Therefore, the research applied face recognition system using backpropagation algorithm. Where, a photo of a person's face will be recognized based on the distance between facial features such as: eyes, nose, and mouth then the result of the feature distance finding will be the input layer of the backpropagation algorithm and then by entering the output target will bring up the idetity of the photo or image. From the results of the 10 images tested, 8 images were identified by two unsuccessful images, the accuracy of the application was 80%. Program Studi Teknik Informatika Universitas Prima Indonesia (UNPRI) Medan 91 Jurnal Penelitian Teknik Informatika Universitas Prima Indonesia (UNPRI) Medan Volume 1 Nomor 1, April 2018 e-ISSN : 2541-2019 Key Word: Computer Vision, Face Recognition, Backpropagation