Attendance System Using Two Factor Authentication Based on Secure App with Flutter

Every Indonesian society applies health protocols in their daily activities. Therefore, used technology is needed to avoid the spread of the virus and become a solution to face the new normal era. One of the uses of technology is to track attendance using a mobile platform. This method poses several problems in its implementation, such as poor authentication, abuse by other users, and difficulties monitoring by teaching staff. The research will build an application to overcome this problem by utilizing Face Recognition, Disable Multi-Device, and Present Validation features. This application was developed on the Android platform using the Flutter framework and integrating two features: authentication and time for attendance validation. Measuring the accuracy of the face recognition algorithm as a factor of authentication that shows the characteristics, scenario testing occurs with five aspects such; camera quality, distance, light intensity, facial expressions, and image-taking position. The sample taken was 40 respondents. The face recognition system is designed and implemented using the Flutter framework on the Android platform. Compare the experimental results of testing scenarios to verify face recognition, measuring the feasibility of this scheme.