SEMPIR : Sequence Multiple Point of Interest Recommender System for Overland Tourism

Recommender system is a tool that can help human find their preferences from a massive amount of data based. One of the practical implementation is for geogprahical recommender system. In this study, we propose such as geographical recommender system that recommend multiple Point of Interest (POI) in sequence manner. The usage of this method is for overland tourism. Overlan tourisme is one type of tourism that is currently chosen by many travelers or tourists. Tourists who choose the overland method tend to use a long time to visit several destination objects for a long time. The traveler will choose to start from one city and end in another city. Throughout the trip from the city, a traveler will visit several destination objects. Some travelers have problem when they want to plan their itenary or travel plans within in certain constrains such as certain budget. They find it difficult to visit anything and anywhere within the available budget. This research propose some algoritm solution to solve this problem by developing a recommendation system in list of tourist destinations with a constraint on the budget. The proposed method have several stages. One of the important stages is selecting a list of recommended destination object to be visited. This algorithm would produce set or list of recommended tourist in sequence of destination according to the available budget for a certain duration of time.