PENGEMBANGAN TEKNOLOGI RFID DENGAN PENGENALAN WAJAH PADA SISTEM PRESENSI

Attendance is an important thing in the learning process in higher education. According to the latest report from the Identity Theft Resource Center (ITRC), there will be more than 400 million incidents of personal data theft during 2022. A person's privacy can be automatically reduced due to the presence of a Contactless Smart Card which is unable to detect when someone else's RFID Tag is being used. This makes data cloning easy to do, where someone can have data from more than one user. The combination of RFID technology and facial recognition can increase data security in the presence system. The supervised learning method used in machine learning will make it easier to match facial recognition patterns and real user conditions using the CNN algorithm. As a result, the addition of facial patterns is able to overcome the problem of cloning data in presence systems using RFID, and makes it safer against data manipulation with accuracy reaching 100% and the training model using Callback Early Stopping is able to achieve faster convergence and optimize training duration