Application of the K-Means Algorithm to Evaluate Basic Programming Abilities of Undergraduate Students in Applied Software Engineering Technology

DOI

10.2991/978-94-6463-587-4_42How to use a DOI?

Keywords

Evaluation; Improving The Quality of Learning; K-Means Algorithm; Machine Learning

Abstract

As official educational institutions, universities are faced with demands to produce graduates who are superior and competent in facing developments in science and technology. In this context, the Diploma IV Software Engineering Technology (D4 TRPL) study program aims to produce a quality workforce in software engineering technology. Research shows that the level of student success influences the quality of education and, in this digital era, the competitive ability of universities to utilize the resources they have. Basic programming skills are crucial, especially for students in study programs related to information technology. Clustering methods such as K-Means can evaluate students’ basic programming abilities. The advantages of K-Means include its ability to group large objects and increase the speed of the grouping process. Previous research used the K-Means algorithm to group students based on their level of programming ability, with practical and effective results. Based on prior research, the researcher proposes further research by applying the clustering method to evaluate students’ basic programming abilities. This research aims to provide a comprehensive picture of students’ level of programming ability, assist lecturers in monitoring and guidance according to ability level, and support the development of more effective learning strategies through machine learning methods.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Made Pasek Agus Ariawan
AU  - Putu Indah Ciptayani
AU  - Ida Bagus Adisimakrisna Peling
PY  - 2024
DA  - 2024/12/01
TI  - Application of the K-Means Algorithm to Evaluate Basic Programming Abilities of Undergraduate Students in Applied Software Engineering Technology
BT  - Proceedings of the International Conference on Sustainable Green Tourism Applied Science - Engineering Applied Science 2024 (ICoSTAS-EAS 2024)
PB  - Atlantis Press
SP  - 368
EP  - 377
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-587-4_42
DO  - 10.2991/978-94-6463-587-4_42
ID  - Ariawan2024
ER  -