Smart Botanic Gardens Application to reduce littering problem in Kebun Raya Bogor

摘要

With the popularity of Bogor Botanic Gardens (Kebun Raya Bogor, Indonesia) as one of the most favorite tourist destination in Indonesia, the number of visitors has extremely increased in the last three consecutive years. However, the increasing number of visitors threat the sustainability of biological and natural resources which is caused by behavior violations of visitors i.e. littering problem. In this work, we propose an initial design of smart botanic gardens application to reduce littering problem that contributes to the preservation of biological and natural resources. We adopt the model of sustainable behavior in implementing mobile application so that there are more interaction and participation from communities that trigger more awareness among the people. Moreover, we enhance our apps with machine learning-based motion detection that automatically detects littering activities inside the garden. The notification will be given to the operational team so that they can take proper reactions.