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Journal : Jurnal Gaussian

ANALISIS REGRESI COX UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI LAMA STUDI MAHASISWA S1 FMIPA UNIVERSITAS LAMBUNG MANGKURAT Tanjung, Winda Adinda; Anggraini, Dewi; Annisa, Selvi
Jurnal Gaussian Vol 13, No 1 (2024): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.13.1.1-12

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).
PEMODELAN TINGKAT PENGANGGURAN TERBUKA TERHADAP FAKTOR – FAKTOR YANG MEMPENGARUHINYA DI PULAU KALIMANTAN MENGGUNAKAN REGRESI NONPARAMETRIK SPLINE TRUNCATED Ma’rifa, Aulia; Anggraini, Dewi; Annisa, Selvi
Jurnal Gaussian Vol 13, No 1 (2024): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.13.1.48-58

Abstract

The Open Unemployment Rate is an indicator used to measure the unemployment rate in the labor force. Kalimantan Island is one of the largest islands in Indonesia with a population of around 16.8 million people and is still experiencing problems in overcoming unemployment. Efforts are needed to overcome the problem of unemployment so that it can be resolved and does not have an impact on many things. The purpose of this study was to determine the factors that influence unemployment in Kalimantan using truncated spline nonparametric regression. The nonparametric spline truncated regression analysis approach is used because the pattern of relationship between the open unemployment rate and the factors that are thought to influence it does not form a specific pattern. The results of this study obtained the best model using one knot, with the average length of schooling  and labor force participation rate  variables able to explain the variability of the open unemployment rate in Kalimantan of 56,05 percent.