Abstract
A virtual tour is an exciting approach to bring a real appearance in a virtual environment. In this research, we propose the development of an adaptive campus virtual tour application by utilizing location-based services (LBS). This adaptive feature can monitor a user's location and find relevant places easily. There are two main activities involved, the preparation of panoramic images and location mapping integration. We employ k Nearest Neighbor (kNN) algorithm to map the nearest location in a campus. In order to provide more useful information, this application also associates the user's location with the nearest event being implemented on campus. The development of this application is in line with the vision and mission of the university to provide broad and interesting public information. Virtual tour approach can produce a more immersive and attractive appearance than regular photos. The results of the application test show that the application can run well and no errors.
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