Abstract

This work presents a method to monitor students in a campus area for headcount in an area and activity of student. For high accuracy and real-Time data, RFID readers are exploited and located at the fronts of every door of a room to identify students in the area. Ontology was created to represent room type and activity that can happen in a room. With the ontology, we can infer activity of students using an inference engine embedded in OAM framework based on RFID data and basic data from university. To make data easier for campus personnel in management, visualization systems are implemented. These are a visualization to display crowd in a campus area and a visualization tool for student activity.