Development of a Facial Recognition-based Attendance System using Binary Patterns Histograms Method and Telegram Bot Notification

In carrying out attendance activities, most schools still use the manual method, which utilizes book as a medium. However, presence of causes some problems that arise when using this method. With aim study, "Facial Recognition-Based Attendance System" was created. This study used Local Binary Pattern Histogram (LBPH) method to detect and recognize faces. The system is made student's face name, will then carry along with identity in form Name Absence Number real time find student present class. names have been diabase can be saved through XLS format. result facial recognition-based LBPH (Local Histogram) web-based, so users easily access it internet. research uses development methods. stage consists information collection, planning, product draft development. results showed feasibility level systems. eligibility rate obtained score 78.98%. From these results, worthy being an system.