Pengembangan Digital Twin Smart Campus untuk Monitoring Infrastruktur Perguruan Tinggi

Abstract

Digital transformation in higher education has increased the need for more effective, integrated, and real-time campus infrastructure monitoring systems. The main challenge lies in the limitations of conventional monitoring systems that rely on numerical dashboards and are unable to visually and interactively represent campus infrastructure conditions. This study aims to develop a Digital Twin Smart Campus system for higher education infrastructure monitoring based on the Internet of Things (IoT). The research employed a Research and Development (R&D) approach using a prototype development model consisting of requirement analysis, system architecture design, IoT implementation, Digital Twin development, and system testing stages. The system was developed using IoT sensors, Firebase Realtime Database, MQTT protocol, and Unity3D-based virtual visualization. The results indicate that the system successfully performs real-time monitoring of room temperature, environmental humidity, electrical energy consumption, and network device status with an average communication latency of 2.1 seconds and sensor accuracy reaching 97%. The implementation of the Digital Twin also improves the effectiveness of campus infrastructure monitoring through more interactive and intuitive 3D virtual visualization compared to conventional dashboards. This study contributes to the development of Digital Twin-based smart campus systems in supporting more efficient, adaptive, and sustainable higher education infrastructure management.