Development of Model for Providing Feasible Scholarship
Abstract: The current work
focuses on the development of a model to determine a feasible scholarship
recipient on the basis of the naiv¨e Bayes’ method using very simple and
limited attributes. Those attributes are the applicants academic year,
represented by their semester, academic performance, represented by their GPa,
socioeconomic ability, which represented the economic capability to attend a
higher education institution, and their level of social involvement. To
establish and evaluate the model performance, empirical data are collected, and
the data of 100 students are divided into 80 student data for the model
training and the remaining of 20 student data are for the model testing. The
results suggest that the model is capable to provide recommendations for the
potential scholarship recipient at the level of accuracy of 95%.
Author: Harry Dhika
Journal Code: jptinformatikagg160022