Implementation of Exploratory Data Analysis and Artificial Neural Networks to Predict Student Graduation on-Time
Sonia Sri Muliani,
Volvo Sihombing,
Ibnu Rasyid Munthe
Abstract:Almost all universities in Indonesia face the problem of a low number of students graduating on time. This will affect higher education accreditation. For this reason, universities must pay attention to the timely graduation of their students. The way that can be taken is to predict students' graduation on time. This research aims to predict students' timely graduations using a combination of exploratory data analysis and artificial neural networks. Exploratory data analysis is used to study the relationship b… Show more
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