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Implementasi Fuzzy C-Means dan Possibilistik C-Means Pada Data Performance Mahasiswa

Unisda Journal of Mathematics and Computer Science (UJMC)

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ISSN 2579-907X
2460-3333
 
Authentication Code dc
 
Title Statement Implementasi Fuzzy C-Means dan Possibilistik C-Means Pada Data Performance Mahasiswa
 
Added Entry - Uncontrolled Name Apsari, Gadis Retno
Pradana, Mohammad Syaiful
Chandra, Novita Eka
Universitas Islam Darul 'Ulum Lamongan
Universitas Islam Darul 'Ulum Lamongan
Universitas Islam Darul 'Ulum Lamongan
 
Summary, etc. Students are the most important component in a university, especially private universities especially Universitas Islam Darul ‘ulum (Unisda) Lamongan. One of the most important roles of students for higher education is achievement. This study aims to determine the role of Fuzzy Clustering in classifying student performance data. The data includes GPA (Grade Point Average), ECCU (Extra-Curricular Credit Unit), attendance, and students' willingness to learn. So that groups of students who have the potential to have achievements can be identified. In this case, the grouping of student performance data uses Fuzzy Clustering by applying the Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) algorithms with the help of Matlab. In the FCM algorithm, the membership degree is updated so as to produce a minimum objective function value. Meanwhile, the PCM algorithm uses a T matrix, which shows the peculiarities of the data which are also based on minimizing the objective function.
 
Publication, Distribution, Etc. Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan
 
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http://e-jurnal.unisda.ac.id/index.php/ujmc/article/view/2392
 
Data Source Entry Unisda Journal of Mathematics and Computer Science (UJMC); Vol 6 No 2 (2020): Unisda Journal of Mathematics and Computer science
 
Language Note eng
 
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