Tourism in an area is growing rapidly with advances in information technology. This gives tourists many choices in choosing tourist attractions. The choice of tourist attractions tailored to the desires of tourists. One of the criteria for tourist choice is the suitability of the budget owned by tourists. This study developed a smart map to determine tourist attractions based on tourist desires. The wishes of tourists are included in the form of several criteria. Several criteria for tourist desires are processed using an artificial intelligence algorithm and the results of this algorithm produce several recommendations for tourist attractions that are by tourist desires. The smart artificial algorithm used is a K-Nearest Neighbor. This algorithm accepts several criteria from the tour and then is calculated to produce the desired tourist attractions and valid tourists. This smart map includes 7 criteria which are then calculated to produce 3 recommendations. Test results on some tourists obtained an average accuracy of 73%.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL