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CLUSTERING DATA MAHASISWA BERDASARKAN ASAL DAERAH DAN ASAL SEKOLAH MENGGUNAKAN SELF ORGANIZING MAP (SOM) (Studi Kasus Teknik Informatika Universitas Muhammadiyah Malang)

ADITYA RIDHO PANGESTU, Aditya Ridho (2020) CLUSTERING DATA MAHASISWA BERDASARKAN ASAL DAERAH DAN ASAL SEKOLAH MENGGUNAKAN SELF ORGANIZING MAP (SOM) (Studi Kasus Teknik Informatika Universitas Muhammadiyah Malang). Undergraduate (S1) thesis, Universitas Muhammadiyah Malang.

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Abstract

Timely graduation of students is one of the problems that is difficult for every university to overcome, as well as in the Department of Informatics, University of Muhammadiyah Malang. This problem must be addressed immediately considering the quality of students will affect an accreditation of higher education and majors. Therefore, it is necessary to analyze which regions have the potential for timely graduation of UMM Informatics Engineering students. This study uses the Self Organizing Map (SOM) algorithm for clustering in order to find areas and schools that have an estimated student graduation opportunity on time. The independent variables used are regional origin, school origin, GPA and study period. The best parameters to be implemented on graduation data in 2015-2018 are learning rate = 0.2, and epoch = 500 with the Mean Square Error (MSE) value from the cluster = 0.0015480163214798585

Item Type: Thesis (Undergraduate (S1))
Student ID: 201310370311026
Thesis Advisors: Gita Indah Marthasari (0720038101), Zamah Sari (0720068701)
Keywords: Self Organizing Map (SOM), Timely graduation, student data, python
Subjects: L Education > L Education (General)
L Education > LB Theory and practice of education
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: 201310370311026
Date Deposited: 01 Sep 2020 01:29
Last Modified: 01 Sep 2020 01:29
URI : http://eprints.umm.ac.id/id/eprint/65784

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