Implementation of K-Means clustering algorithm in mapping the groups of graduated or dropped-out students in the Management Department of the National University

Implementation of K-Means clustering algorithm in mapping the groups of graduated or dropped-out students in the Management Department of the National University

This study aims to determine the characteristics of students who are likely to graduate or drop out (DO) in the management department of the National University, Jakarta. The study was conducted by implementing the K-Means algorithm, where each data is grouped according to the closest distance to th...

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Bibliographic Details
Main Authors: Muhammad Darwis, Liyando Hermawan Hasibuan, Mochammad Firmansyah, Nur Ahady, Rizka Tiaharyadini
Format: Article
Language:English
Published: Program Studi Teknik Informatika Universitas Trilogi 2021-06-01
Series:JISA (Jurnal Informatika dan Sains)
Subjects:
data mining
clustering
k-mean algorithm
orange
graduation
mapping
Online Access:https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/848

Internet

https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/848

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