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Each university strives to maximize the graduation rates of its students, both in terms of quantity and quality. The undergraduate program is targeted to be completed within 8 semesters, with a maximum duration of 14 semesters. Numerous factors are believed to influence the length of students' study periods, including both internal and external factors. Based on these suspected factors, it is necessary to conduct research to identify which factors significantly affect the duration of students' studies. Survival analysis is an appropriate method for identifying these factors, as traditional regression analysis is inadequate for estimating survival data. Therefore, survival analysis methods such as Weibull regression, Cox proportional hazards regression, and random survival forest are employed. This study aims to determine the factors influencing the length of study for students in the Faculty of Mathematics and Natural Sciences at Bengkulu University (FMIPA UNIB) from the 2018 and 2019 cohorts. The findings of this study are expected to be particularly useful for the institution in designing more effective intervention strategies to improve graduation rates and reduce the duration of study for students at FMIPA UNIB.

Cox Proportional Hazards Regression; Duration of Study; Random Survival Forest; Survival Analysis; Weibull Regression