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All Journal TEKNIK INFORMATIKA Jurnal Simetris JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA NUMERICAL (Jurnal Matematika dan Pendidikan Matematika) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] G-Tech : Jurnal Teknologi Terapan Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Nusantara Journal of Computers and its Applications Jurnal INFOTEL CSRID
Nurmalitasari Nurmalitasari
Universitas Duta Bangsa Surakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Other

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Journal : JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA

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Prediksi Performa Mahasiswa Menggunakan Model Regresi Logistik Nurmalitasari Nurmalitasari; Eko Purwanto
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 2 (2022): Jurnal Derivat (Desember 2022)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jderivat.v9i2.2639

Abstract

Prediction of student performance is an important thing for a university. This is because it can help a university to prevent or treat students who are at risk of failing in their studies early. This study aims to predict student performance at Duta Bangsa Surakarta University (UDB). The model used in this study is a logistic regression model. Logistic regression is a mathematical modelling method used to determine the relationship between a binary dependent variable and one or more independent variables. The results showed that the logistic regression model could be used to predict student performance with MAPE by 8%.  Keyword: Student Performace, Logistic Regression, UDB, MAPE
Co-Authors Abdullah Sajad Aditya Gema Pratama Agus Mardiyono Ahmad Tomi Ali Muhdi Ashary Vermaysha Atina, Vihi Bima Setya Gumelar Didi Supriyadi Dwiki Rasya Rahadian Hasanah, Herliyani Lindha Juniarta Suseno Lucky Marsella Moh Muhtarom Mohammad Yusuf Nugroho Muhammad Rais Ramadhani Nugroho Arif Sudibyo Nurchim Nurchim Purwanto, Eko Rahmawati Desi Tri Wulandari Rico Yoga Pradana Sofa Marwati Sri Sumarlinda Sulami, Atik Syaiful Nur Wardani Viona Putri Ardiana Yusmawan Dwi Suseno Zalizah Awang Long Zalizah Awang Long