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All Journal Unisda Journal of Mathematics and Computer Science (UJMC)
Gadis Retno Apsari
Universitas Islam Darul 'Ulum Lamongan
Computer Science & IT Education Mathematics

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Implementasi Fuzzy C-Means dan Possibilistik C-Means Pada Data Performance Mahasiswa Gadis Retno Apsari; Mohammad Syaiful Pradana; Novita Eka Chandra
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 2 (2020): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v6i2.2392

Abstract

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.
Co-Authors Mohammad Syaiful Pradana, Mohammad Syaiful Novita Eka Chandra, Novita Eka