J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika
Vol 16 No 2 (2023): Jurnal Ilmiah Teori dan Aplikasi Statistika

Analysis of the Timeliness of Graduation of FMIPA College KIP Students at Bengkulu University Using Binary Logistic Regression




Article Info

Publish Date
31 Dec 2023

Abstract

Previous studies that discuss the timeliness of graduating students are generally more focused on the student population as a whole, without considering the influence of specific scholarship programs such as KIP Kuliah. This study aims to obtain a model of the timeliness of student graduation and obtain factors that affect the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University using the Binary Logistic Regression method. The results of this study are expected to provide valuable information for KIP Kuliah managers of Bengkulu University in improving the effectiveness of the KIP Kuliah scholarship program and helping KIP Kuliah students of FMIPA Bengkulu University to graduate on time. In this study, Binary Logistic Regression method is used because the response variable has a nominal binary scale. Based on the results of the discussion of the research conducted, a Binary Logistic Regression model of the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University is obtained with factors that have a significant influence on the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University is the origin of the S1-Physics, S1-Biology and S1-Statistics study programs and GPA. Then the classification results using Binary Logistic Regression have a classification accuracy rate of 77.97%. So it can be concluded that the classification of the timeliness of graduating students of FMIPA Bengkulu University in the Binary Logistic Regression model is good enough.

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Journal Info

Abbrev

jstatistika

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

This journal publishes scientific articles in the form of research results, case studies, or literature reviews on various aspects related to the field of statistics, scientific data and their applications. Such as Computing, Time Series, Multivariate, Data Mining, Biostatistics, Survival Analysis, ...