Journal of Engineering Science and Technology Management
Vol. 5 No. 1 (2025): Maret 2025

Application of TOPSIS and K-Means Clustering Methods in Recommendations and Analysis of Study Program Interests for New Students

Rusnedy, Hidayati (Unknown)
Kasini (Unknown)
Tanjung, Lailatul Syifa (Unknown)
Yusmita, Yesi (Unknown)



Article Info

Publish Date
31 Mar 2025

Abstract

The selection of a study program is one of the crucial initial decisions for prospective students when entering college. This decision is ideally based on a good understanding of their interests, talents, and abilities so that prospective students can study optimally and in accordance with their potential. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a multi-criteria decision-making method where the best alternative has the longest distance from the negative ideal solution and has the shortest distance from the positive ideal solution. The selection of these criteria and alternatives aims to produce relevant and accurate recommendations in helping prospective students determine the choice of study program that best suits their potential and preferences. The results of these recommendations are then further analyzed to group the results of the recommendations based on the category of interest. The K-Means Clustering method using the K-Means method with the results of C1 with 9 Respondentsts of less interested study programs, C2 with 25 Respondentsts of moderately interested study programs, and C3 with 21 Respondentsts of highly interested study programs

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Journal Info

Abbrev

jestm

Publisher

Subject

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering

Description

Journal of Engineering Science and Technology Management is Jurnal Electronic that aims at the publication and dissemination of original research articles on the latest developments in all fields of engineering science and technology, including; Industrial Engineering, Mechanical Engineering, ...