Enhancing Campus Operations: Development and Implementation of a Facial Recognition-Based Attendance Management System at Universitas Khairun

Higher education institutions are increasingly adopting technological solutions to streamline operations and enhance security. This study focuses on the development and implementation of a facial recognition-based attendance management system at Universitas Khairun. The system leverages advanced facial recognition algorithms to automate attendance tracking, eliminating the need for manual methods prone to human error and fraud. The system was developed through a rigorous process involving requirements gathering, iterative coding, and comprehensive testing. The testing phase ensured the system's accuracy, reliability, and security. Key findings indicate significant improvements in operational efficiency, reduced administrative burden, and enhanced data security. The system has been well-received by users, who appreciate its ease of use and the added layer of security it provides. The successful implementation of this system positions Universitas Khairun as a pioneer in adopting innovative technologies to improve campus operations. This study highlights the potential of facial recognition technology to revolutionize attendance management in educational institutions worldwide. Future research may explore further applications of this technology, such as student identification and access control, to enhance the overall campus experience.