doi: 10.7763/IJMO.2012.V2.183
Enrollment Forecasting for School Management System
Rabby Q. Lavilles
,
- Mindanao State Univeristy – Iligan Institute of Technology, Philippines.
Abstract
The electronic School Management System (e-SMS) of Mindanao State University – Iligan Institute of Technology (MSU-IIT) is an information system that supports academic transactions in the university. Admission, curricula, pre-registration, registration, grading, and records management are functions supported by the system. Although these functions helped in the management of the university, enrollment planning specifically student projection is not supported resulting to problems on student complaints about course unavailability, merged courses or dissolved sections. This study explores time series models in projecting the number of students enrolled in a course as forecasting support for e-SMS. A statistical modeling method is adapted in developing the models which includes problem definition and data collection, model formulation, model verification and model implementation. Problem definition and data collection involves defining variables to be considered as well as cleaning the data. Model formulation uses time series models and graphs in analyzing patterns of data in each course. Model verification is done by comparing the result of the projection and actual enrollment while implementation explains the integration of the enrollment forecasting to the e-SMS. Experimental result yields an average of 20% difference between the forecasted and actual values. The resulting forecasts can be used to support in determining the number of sections to be opened before the enrollment commence.
Keywords
- School management system
- student projection
- enrollment forecasting
How to Cite
Rabby Q. Lavilles and Mary Jane B. Arcilla, "Enrollment Forecasting for School Management System," International Journal of Modeling and Optimization, vol. 2, no. 5, pp. 563-566, 2012. https://doi.org/ 10.7763/IJMO.2012.V2.183
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).