AI Face Scan System for Certificate Ceremony Administration

Abstract

This research aimed to: 1) develop an AI face scan-based system for graduation ceremony administration, 2) evaluate the efficiency of the AI face scan-based system for graduation ceremony administration, and 3) assess user satisfaction towards the developed system. The study employed a Research and Development (R&D) approach. The sample consisted of two groups, i.e., 20 graduates for testing the system performance accuracy, and 35 users for satisfaction evaluation. Research instruments included the AI face scan prototype, system performance recording forms, and a user satisfaction questionnaire. Data were analyzed by percentage, mean, and standard deviation. The results revealed that the developed system achieved an accuracy on identity verification of 94.00%, precision of 97.41%, and recall of 96.41%, with an average processing time of 0.82 seconds per scan. Furthermore, the system reduced the operating time required for graduate sequencing and name-calling processes by 35.38%, exceeding the research hypothesis of at least 30% time reduction. Overall user satisfaction was at the highest level (  = 4.64, S.D. = 0.48). These findings indicate that the system can be effectively implemented in real graduation ceremonies, reducing operational errors, improving processing speed, and enhancing ceremony management efficiency through artificial intelligence technology.