Daftar Isi:
  • Attendance is a crucial task that wastes a lot of time and very vulnerable to being cheated if done manually. Many automatic methods, such as fingerprint biometric attendance also available for this purpose. But , as we know this methods waste time as well because we must form a line to place our thumb on scanning device. Face recognition is a biometric information process that is easier to use and has a greater operating range than other biometric.Facial recognition systems are built on computer programs that analyze images of human faces for the purpose of identifying them. Location-based services bring together geospatial technologies, information and communication technologies, and the Internet to deliver targeted information to people in real time based on their geographic location. Attendance system that combines facial recognition and geolocation can prevent fraud in attendance such as off-site attendance or what the Indonesians said as "Titip Absen” . Our system automatically detect fraud if employee or students make an off-site attendance so they can't make an attendance. In this paper, I propose an Openface Algorithm for face extraction from an image and combined with Cosine Similarity to doing verification job. Keyword: face recognition, attendance system, location-based services,biometric, OpenFace Algorithm, Cosine similarity..