Implementation of the K-Means Clustering Algorithm to Determine the Promotion Strategy of Institut Agama Kristen Negeri Tarutung

Abstract

This research aims to determine the strategy for recruiting new students at IAKN Tarutung. Currently, competition between state and private universities in accepting new students is increasingly competitive. This is proven by the decreasing trend of prospective students registering at IAKN Tarutung, especially in the Cultural and Religious Tourism study program (as the research sample). Based on data from active students in The Cultural and Religious Tourism Study Program, the K-Means algorithm can be implemented to assist decision-making in determining effective promotional targets for the following year. The results of the research show that data processing for students from the classes of 2021, 2022, and 2023 shows different trends based on Criterion 1 (high school or equivalent vocational school graduates), Criterion 2 (student achievement at their school of origin), and Criterion 3 (community economic ability). Based on data from Criterion 1, criterion 2, and criterion 3, it is stated that promotional strategies must continue to be carried out in all high schools or equivalent vocational schools (public and private) and provide scholarships for prospective Cultural and Religious Tourism study program who are outstanding or economically disadvantaged.