Scholarship grants prediction using Autoregressive Integrated Moving Average (ARIMA) algorithm

Abstract

Every university has its methods to realize scholarship assessment. Schools establish scholarships as a motivation for students that have outstanding and exceptional achievements. It is a form of incentive and benefit to inspire and embolden students and improve schools’ learning principles. From that point of view, an optimal way is considered to assess and distribute scholarship grants. In this paper, the use of Autoregressive Integrated Moving Average (ARIMA) was observed in predicting future scholarship grants that can be availed in Surigao State College of Technology, Surigao City, Philippines. The output of this study can be used as input for management decision as to budget allocation by the sponsoring agent of the scholarship program. It is also hoped that this study could contribute on the literature of time series forecasting and educational data mining in general.