Museum Visitor Activity Tracker using Indoor Positioning System

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