Determination of Student Subjects in Higher Education Using Hybrid Data Mining Method with the K-Means Algorithm and FP Growth

International Journal of artificial intelligence research

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Field Value
 
Title Determination of Student Subjects in Higher Education Using Hybrid Data Mining Method with the K-Means Algorithm and FP Growth
 
Creator Rani, Larissa Navia
Defit, Sarjon
Muhammad, L. J.
 
Subject Computer Science
Hybrid Data Mining K-Means Algorithm FP Growth Algorithm Higher Education
 
Description The large number of courses offered in an educational institution raises new problems related to the selection of specialization courses. Students experience difficulties and confusion in determining the course to be taken when compiling the study plan card. The purpose of this study was to cluster student value data. Then the values that have been grouped are seen in the pattern (pattern) of the appearance of the data based on the values they got previously so that students can later use the results of the patterning as a guideline for taking what skill courses in the next semester. The method used in this research is the K-Means and FP-Growth methods. The results of this rule can provide input to students or academic supervisors when compiling student study plan cards. Lecturers and students can analyze the right specialization subject by following the pattern given. This study produces a pattern that shows that the specialization course with the theme of business information systems is more followed by students than the other 2 themes
 
Publisher STMIK Dharma Wacana
 
Contributor
 
Date 2021-06-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://ijair.id/index.php/ijair/article/view/223
10.29099/ijair.v5i1.223
 
Source International Journal of Artificial Intelligence Research; Vol 5, No 1 (2021): June; 91 - 101
2579-7298
10.29099/ijair.v5i1
 
Language eng
 
Relation http://ijair.id/index.php/ijair/article/view/223/pdf
 
Rights Copyright (c) 2021 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0
 

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