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Wardianto, Wardianto
Universitas Widyagama Malang

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IMPLEMENTASI METODE K-MEANS CLUSTERING DALAM MENGELOMPOKKAN KOMPETENSI MAHASISWA Wardianto, Wardianto; Marisa, Fitri; Wijaya, Indra Dharma
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 10 No 1 Tahun 2019
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

Academic ability is the ability of a person who is included in the academic field with a measure can be in the form of value or so-called academic achievement. With this system helps in grouping students in their fields, and students can find out the competencies obtained based on the achievement index of the courses that have been determined. In making this system, researchers used Visual Studio 2012 and applied the K-Means Clustering algorithm method to get more accurate results in classifying student competencies. This system can be used for all departments, the testing is done at the Informatics Engineering Department of Malang Widyagama University. in this system uses the mysql database for storage. Based on the user test results that have been done, Based on the results of the user trials that have been conducted, of the 5 weighted values that have been determined, there is an average of the results of the trial which is 85.6% strongly agree with the existence of this system to find out the student competency group.It is expected that with this system. Can find out competency groups that are suitable for their fields, so that later they will produce graduates who are competent in accordance with their fields.Keywords : Competence, K-means Clustering, software visual