Prediksi Kategori Kelulusan Mahasiswa Menggunakan Metode Regresi Logistik Multinomial

Prediksi Kategori Kelulusan Mahasiswa Menggunakan Metode Regresi Logistik Multinomial

Students must meet certain goals to earn a degree but can extend their time at university or drop out (DO). The problem of dropping out of students has become an important issue for tertiary institutions to ensure the success or graduation of students and reduce dropouts. DO can affect the accredit...

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Bibliographic Details
Main Authors: Rafika Syahranita, Suhartono Suhartono, Syahiduz Zaman
Format: Article
Language:English
Published: Universitas Islam Negeri Sunan Kalijaga Yogyakarta 2023-05-01
Series:JISKA (Jurnal Informatika Sunan Kalijaga)
Subjects:
Categories
Graduation
Prediction
Logistic Regression
Machine Learning
Online Access:https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/3899

Internet

https://ejournal.uin-suka.ac.id/saintek/JISKA/article/view/3899

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