Analisis Regresi Logistik Biner dalam Penentuan Faktor-Faktor yang Mempengaruhi Ketepatan Waktu Lulus Mahasiswa UIN Alauddin Makassar

Dewi Anugrawati, Nurhikma, Iyut Wahyu Saputri, Khalilah Nurfadilah
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Abstract

This research is an application/applied research, namely by taking or collecting data and analyzing it using a binary logistic regression model to determine the factors that influence the accuracy of graduating students at UIN Alauddin Makassar.  The type of data used in this research is secondary data. These data originally from undergraduate students data 0f 8 faculties obtained from the PUSTIPAD Information System of UIN Alauddin Makassar Rector Class of 2016. Undergraduate/D-IV program students are declared to graduate on time if they complete their studies at tertiary institutions for less than or equal to 8 semesters or you could say 4 years, with a minimum number of credits of 144 credits.  To determine the binary logistic regression model, parameter significance tests were carried out simultaneously using the G test and partially using the Wald test.  Then test the fit of the model by measuring the chi-square value and the Hosmer and Lowshow test at a significant level of 5%.  The results showed that there were three factors that influenced the timeliness of graduation accuracy, namely gender (X1), IPK (X3) and educational background (X4)
二元物流分析,确定影响学生守时的因素,使他们找到阿拉丁·马卡萨
本研究是一项应用/应用研究,即通过采集或收集数据,并使用二元逻辑回归模型进行分析,以确定影响望加锡大学毕业生准确性的因素。本研究中使用的数据类型是二手数据。这些数据来源于2016届望加锡大学校长班的PUSTIPAD信息系统中8个学院的本科生数据。本科/D-IV课程的学生如果在高等教育机构完成的学习少于或等于8个学期,或者你可以说是4年,最低学分为144学分,则宣布按时毕业。为了确定二元logistic回归模型,同时使用G检验和部分使用Wald检验进行参数显著性检验。然后在5%显著水平下,通过测量卡方值和Hosmer and Lowshow检验来检验模型的拟合性。结果表明,影响毕业准确性及时性的因素有性别(X1)、IPK (X3)和学历(X4)三个方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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