This study grouped the interest of SMP Negeri 5 Binjai City students in extracurricular activities using the clustering method based on 2018–2024 data with variables of activity type, activeness, and achievement. The goal is to identify patterns of interest and utilize them for program management and development. The results are expected to help schools develop effective coaching strategies according to the characteristics of students. Education shapes character and develops students' potential not only academically, but also through extracurriculars. At SMP Negeri 5 Binjai City, extracurricular participation is not evenly distributed, affecting the effectiveness of supervisors and the development of activities. This study uses the clustering method to group students based on interests, activeness, and achievements, thereby helping schools manage and develop extracurriculars more effectively. This research is carried out in a structured manner through several stages: identification of problems to determine the focus of the research, collection of supporting and main data, study of related theories, analysis of data according to variables, testing and implementation of results, and evaluation to conclude findings and provide suggestions. This framework ensures that research is directed to produce useful results. This study succeeded in grouping the extracurricular interests of SMP Negeri 5 Binjai City students using the k-means algorithm with variables of activity type, activeness, and achievement through three cluster scenarios. Three clusters are sufficient for general strategies, while four or five clusters provide more specific coaching details, helping schools organize student motivational strategies, facilities, mentors, and programs.
A Virginia (Wed,) studied this question.