Enhancing Operational Efficiency Through a Data-Driven Real-Time Field Performance Monitoring System at PT Angkasa Pura II, Kualanamu – Medan
Keywords:
Data-Driven System, Real-Time Monitoring, Field Performance, Operational EfficiencyAbstract
The aviation industry requires precise, timely, and data-centric decision-making to maintain optimal operational efficiency, particularly in field operations management. This study presents the design and implementation of a data-driven real-time field performance monitoring system at PT Angkasa Pura II, Kualanamu – Medan. The proposed system leverages Internet of Things (IoT) devices, integrated sensors, and a cloud-based analytics platform to capture, process, and visualize field activity data in real time. The research employs a mixed-method approach, combining quantitative analysis of performance metrics with qualitative assessments from field personnel. Key Performance Indicators (KPIs) such as task completion rate, response time, equipment utilization, and workforce distribution are continuously monitored and analyzed. Results demonstrate that the system significantly improves operational visibility, enables faster decision-making, and enhances resource allocation efficiency. Furthermore, predictive analytics integrated into the system allows for proactive issue identification and preventive maintenance scheduling. This study concludes that the adoption of a data-driven real-time monitoring approach not only optimizes operational performance but also strengthens decision support capabilities in complex airport field environments.
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