The K-Nearest Neighbor Algorithm for the Classification of Internet Users in Rural Campus

Abstract

Internet users can be classified based on their activities so that these activities can determine their behavior. One of these classification methods can be done using the K- Nearest Neighbor Algorithm. The purpose of this study was to classify the characteristics of students in accessing the internet using wi-fi in rural campuses. This study involved 60 students as respondents from rural campuses, of which 40 respondents came from the Informatics Engineering group, 18 respondents from Information Systems, and two respondents from Information Management. The classification of user characteristics is based on the study program, the device used, and the application accessed. While the results obtained show that as many as 25 students who use rural campus Wi-Fi access are used to learn to use browsers in search applications, and 5 other students are used to search for news. In addition, 27 other students use Wi-fi for entertainment, and the last three students use Wi-fi for everything, be it learning, entertainment, and news