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All Journal Journal of Education Technology Information Social Sciences and Health Journal of Embedded Systems, Security and Intelligent Systems
Wahyuni, Putri Eka
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Computer Science & IT Education Neuroscience Nursing Public Health

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Journal : Journal of Embedded Systems, Security and Intelligent Systems

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Implementation of K-Means and TOPSIS Algorithm for Determining High School Student Majors Yunita, Yunita; Rodiah, Desty; Wahyuni, Putri Eka; Kurniati, Junia; Sarpanda, Dama Putra
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8358

Abstract

This study focuses on the implementation of the K-means algorithm to assist high school students in selecting majors that align with their interests and skills. Utilizing a dataset of 231 grade X students from 2022, the K-means algorithm successfully formed two distinct clusters. The results indicated an accuracy of 81.81% for the K-means clustering process, recall of 81.75%, precision of 77.87%, and specificity of 81.75%. Following this, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was applied to rank the students within each cluster based on various weighted criteria. The TOPSIS method achieved a final ranking accuracy of 80.9%. The findings demonstrate the effectiveness of combining K-means and TOPSIS in facilitating informed decision-making for students regarding their academic paths.
Co-Authors Adhi Nurhartanto, Adhi Atikah Adyas Desty Rodiah Junia Kurniati, Junia Sarpanda, Dama Putra Yunita Yunita