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ANALISIS REGRESI COX UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI LAMA STUDI MAHASISWA S1 FMIPA UNIVERSITAS LAMBUNG MANGKURAT

Winda Adinda Tanjung  -  Statistics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Lambung Mangkurat, Indonesia
*Dewi Anggraini orcid scopus publons  -  Departemen Statistika, Universitas Lambung Mangkurat, Indonesia
Selvi Annisa  -  Statistics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Lambung Mangkurat, Indonesia
Open Access Copyright 2024 Jurnal Gaussian under http://creativecommons.org/licenses/by-nc-sa/4.0.

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Abstract
The length of study is the time it takes a student to complete his education. One of the tertiary institutions that is trying to improve the quality of its student degrees in Indonesia is the Faculty of Mathematics and Natural Sciences, University of Lambung Mangkurat (ULM). This study aims to determine the factors that influence the length of study of ULM FMIPA undergraduate students. The analysis used to determine the effect of these factors is survival analysis through the Cox Proportional Hazard Regression method. The results of this study indicate that the Chemistry Study Program has the greatest chance of being able to complete studies ≤4 years or graduate on time compared to other Study Programs. From the process of the Cox Proportional Hazard Regression method, it was found that the factors that significantly affected the length of study of FMIPA ULM undergraduate students were Gender (Female), GPA (> 3.50) and Status of Residence (Bos/Dormitory/Lodge).
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Keywords: Student Study; Survival Analysis; Cox Proportional Hazard

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  1. Abdullah, S. (2022). Analisis Survival Konsep dan Aplikasi Dengan R. Bumi Aksara
  2. Arpen, I., Lesnu, Y. A., Wattimena, A. Z., & Matdoan, M. Y. (2021). Analisis Regresi Cox Proportional Hazard Untuk Menentukan Faktor-Faktor yang Memengaruhi Lama Studi Mahasiswa. Jurnal Matematika, 11(1), 20
  3. Collett, D. (2003). Modelling Survival Data in Medical Research (2nd ed.). A Chapman & Hall book
  4. Collett, D. (2015). Modelling Survival Data in Medical Research. In Taylor & Francis Group (CRC Press) (3rd ed., Vol. 158, Issue 1)
  5. Danardono. (2012). Analisis Data Survival. In Statistik Daerah Kecamatan Kartasura. Universitas Gadjah Mada
  6. Fitriani, I. D. (2018). Analisis Regresi Cox Proportional Hazard Pada Identifikasi Faktor-Faktor Yang Mempengaruhi Lama Studi Mahasiswa S1 FMIPA Universitas Islam Indonesia. Universitas Islam Indonesia
  7. Harlan, J. (2017). Analisis Survival. In Gunadarma. Gunadarma
  8. Hosmer, & Lemeshow. (2008). Applied Survival Analysis Regression Modeling of Time-to-Event Data. In A John Wiley & Sons Inc Publication (Vol. 41, Issue 3)
  9. Kleinbaum, D. G., & Klein, M. (2012). Survival analysis A Self- Learning Text. In Springer (Vol. 21, Issues 19–20)
  10. Lee, E. T., & Wang, J. W. (2003). Statistical Models and Methods for Lifetime Data. In Biometrics (3 rd, Vol. 39, Issue 3). A John Wiley & Sons Inc Publication
  11. Prabawati, S., Nasution, Y. N., & Wahyuningsih, S. (2018). Analisis Survival Data Kejadian Bersama dengan Pendekatan Efron Partial Likelihood(Studi Kasus: Lama Masa Studi Mahasiswa Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Mulawarman Angkatan 2011). Jurnal Eksponensial, 09(2016), 75–84
  12. Suhartini, A., Rahmawati, R., & Suparti, S. (2018). Analisis Kurva Survival Kaplan Meier Menggunakan Uji Log Rank (Studi Kasus :Pasien Penyakit Jantung Koroner di RSUD Undata Palu). Jurnal Gaussian, 7(1), 33–42

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