The field of Artificial Intelligence especially face recognition is currently widely used in various fields, one of them for attendance using facial recognition. PT. Telkom Access Lembong Branch is a private company where the attendance system has not used a face recognition system so that it needs to be applied facial recognition system to increase the effectiveness of attendance and accuracy of attendance. This research aims to implement a deep learning field using the Convolutional Neural Network (CNN) method to make a facial recognition attendance system. The CNN method is used because it has proven well in some previous studies with good enough accuracy to detect faces, the implementation of the CNN method applied with the Python programming language. The result of this research is an attendance system with Androidbased face recognition with incoming attendance features. When the face is detected then the system will take the employee name along with the hours of entry. This application will be implemented in PT. Telkom Access Lembong Branch

Keywords : Component; Facial Attendance System; Convolutional Neural Network; Python For Android.