Abstract

Technological developments have changed the way of works in a variety of human activities that were originally manual to digital where data and information can be processed anytime and anywhere. The development of mobile devices which is characterized by the increasing number of users of smart devices or smartphones has now made it possible to do a variety of jobs thanks to its quite high computing capability. Digital attendance is currently being developed on computer-based devices using authentication using fingerprint. This can cause a long queue if applied to an institution or company with a large number of employees and tight working hours. Digital attendance using smartphone devices especially Android has now begun to be developed to utilize smartphone devices as an alternative to recording employee attendance. The problem of digital attendance on smartphone devices especially Android is the fingerprint authentication facility is only available on devices with prices that are still relatively expensive, making it difficult to reach by employees, so cheap authentication that can be used today is using facial features. This study uses facial biometrics features to validate and authenticate the identity of the face owner using simple feature differentiation values so as to minimize the complexity of the authentication process while maintaining the accuracy of the authentication results. With a threshold difference of 30 - 50% the system built can detect the owner's face accurately with different lighting and positions.
 
 Keywords : Application, Attendance, Biometrics, Face.

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