Museum Visitor Activity Tracker using Indoor Positioning System

Abstract

Tourism is one of the sources of state revenue that has enormous potential, especially for developing countries. One of the great tourism potential is the museum. In displaying the artifacts and their information the museum manager has difficulty in recognizing the behavior of museum visitors such as the route chosen in seeing the artifacts presented, how long they have been at a location, what artifacts are of their interest, etc. This is quite difficult to do, especially with the many artifacts that exist in a museum. This research created an activity tracker system for museum visitors using the Indoor Positioning System by utilizing Bluetooth Low Energy (BLE) beacons. Signals from BLE beacons detected by museum visitors’ smartphones are used as a reference to estimate the location of visitors using the trilateration method and the Kalman filter. This location data is then stored in a server to be information of the movement of visitors in the museum. Based on this information, museum managers can find out which locations are often / rarely visited by visitors and how long visitors spend at that particular location. According to the distance error testing that compare real location and calculation position, it shows that the average error distance is around 114.35 cm. So, it can be concluded that the information obtained is sufficient to represent the position of the museum visitors