Mobile Application Development for Smart Tourist Guide

The development of internet technologies and smartphones have changed the behavior of people in everyday life interact with one another. Society is becoming more easily in requesting and obtaining information through mobile devices. Surakarta is an autonomous region with the status of a town under the Central Java province that has many interesting attractions area for foreign tourists as well as locals. By 2015 the number of tourists visiting the city of Surakarta as much as 4.2 million people. Some tourists still difficulty in getting information on the location of tourist attractions in the city of Surakarta. This research is used to help travelers in monetizing location information tours in the city of Surakarta. This research method using KNN algorithm, K-means and collaborative filtering. Distance between data user's needs with a purpose will be collected in a category with KNN algorithm and data will be grouped based on the cluster with the nearest mean. Then choose the nearest one and filter options and recommend options are left with major users. The results of the research were obtained that travelers easy and quick in getting the location information in the tourist city of Surakarta. So taste our satisfaction to travelers and may increase the number of tourists visiting the city of Surakarta.