Pengembangan Sistem Monitoring Data Produksi pada Multi Mesin CNC Hyundai Berbasis Komunikasi OPC UA dan Node-RED

Technological advancements have significantly transformed the manufacturing sector, particularly through the adoption of Computer Numerical Control (CNC) technology for the precise and automated production of complex components. Within the Industry 4.0 framework, the integration of technologies such as the Internet of Things (IoT), Cyber-Physical Systems (CPS), and Artificial Intelligence (AI) enables CNC machines to function not only as precision machining tools but also as interconnected devices for real-time data exchange. However, in many educational and industrial environments, CNC monitoring is still performed manually, which potentially leads to human errors, delayed fault detection, and inefficient performance analysis. This study proposes a multi-CNC production data monitoring system utilizing the Open Platform Communications Unified Architecture (OPC UA) protocol as the communication backbone and Node-RED as the implementation platform. The system design includes parameter identification, data acquisition, dashboard visualization, and automated Overall Equipment Effectiveness (OEE) calculation. Implementation was carried out on several Hyundai CNC machines, with evaluation conducted through connectivity testing, OEE calculation validation, and user feedback. The results show that the system successfully achieved stable real-time connectivity, accurate OEE computation with deviations below 0.003%, and improved monitoring efficiency. Compared to previous implementations limited to a single machine, this system expands functionality to multi-machine monitoring with integrated process visualization. The proposed solution demonstrates potential for enhancing operational efficiency in manufacturing laboratories and serves as a foundation for broader smart manufacturing integration.