BINARY LOGISTIC REGRESSION IN DETERMINING AFFECTING FACTORS STUDENT GRADUATION IN A SUBJECT
Abstract
Good communication and coordination between lecturers are needed in delivering material by different lecturers to ensure the relatively uniform quality of education. Knowing the success information from several classes to predict other classes, should be completed by significant parameters used in the algorithm. This research is using a quantitative analysis method with binary logistic regression methodology in determining critical factors of train data on “Introduction to Information Technology” subject in the university of XYZ. Several statistical testing are conducted to give the expected results using software excel with Real Statistics add-ins and Orange Data Mining in testing the pass-prediction from the given data training. The successive model can also be used to classify graduation for the different subjects.
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References
[2] J. M. Hilbe, “Practical Guide to Logistic Regression.” CRC Press Taylor & Francis Group, p. 170, 2015.
[3] Y. A. Tampil, H. Komalig, and Y. Langi, “Analisis Regresi Logistik Untuk Menentukan Faktor-Faktor Yang Mempengaruhi Indeks Prestasi Kumulatif ( IPK ) Mahasiswa FMIPA Universitas Sam Ratulangi Manado,” d’CARTESIAN, vol. 6, no. 2. Journal of Dedicators Community Vol. 6 No. 2 September 2017, pp. 57–62, 2017.
[4] Y. Anggraeni and I. Zain, “Pemodelan Regresi Logistik Biner Terhadap Peminat ITS di Seleksi Bersama Masuk Perguruan Tinggi Negeri (SBMPTN) 2014.” Jurnal Sains dan Seni ITS Vol. 4 No. 1 2015, 2015.
[5] D. G. Kleinbaum and M. Klein, “Statistics for biology and health: Logistical regression.” pp. 1–709, 2010.
[6] A. Wulandari, F. M. Faruk, and F. S. Doven, “Penerapan Metode Regresi Logistik Biner Untuk Mengetahui Determinan Kesiapan Rumah Tangga Dalam Menghadapi Bencana Alam.” Seminar Nasional Official Statistics 2019: Pengemabangan Official Statistics dalam Mendukung Implementasi SDG’s, 2019.
[7] A. Hidayat, “Tutorial Rumus Chi Square Dan Metode Hitung,” 2012. [Online]. Available: https://www.statistikian.com/2012/11/rumus-chi-square.html. [Accessed: 29-Dec-2020].
[8] A. Widarjono, Analisis Statistika Multivariat Terapan, Edisi pertama. Yogyakarta: UPP STIM YKPN, 2010.
[9] R. Stats, “Uji Z - Uji Hipotesis Rata-rata Satu Populasi,” 2020. [Online]. Available: https://www.rumusstatistik.com/2017/01/uji-z-uji-hipotesis-rata-rata-satu-populasi.html. [Accessed: 27-Dec-2020].
[10] F. E. J. Harrell, “Regression Model Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis, Second Edition,” Statistical Methods in Medical Research, vol. 13, no. 5. Springer, pp. 415–416, 2015.
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