FORECASTING THE SEMESTRAL ENROLLMENT OF DOrSU CURRICULAR PROGRAMS

Forecasting of student enrollment is crucial to the institution since it affects institutions’ income, the number of faculty needed, facility requirements, and budgets. Hence, semestral enrollment projection is needed as it is an important process for students and educational institutions. This study is conducted to forecast the semestral enrollment of Davao Oriental State University curricular programs. The data sets consist of 68 time series observations from 1st semester of SY 1990-1991 to 2nd semester of 2023-2024. Results showed that there is an upward trend in the series, with the number of enrolled students increasing from the first semester of AY 1990-1991 to the first semester of AY 2015-2016. Despite a decrease in enrollment from AY 2015-2016 to AY 2017-2018, the trend resumes its upward trajectory until AY 2023-2024. Additionally, the series appears to exhibit seasonality, with the number of enrolled students showing a regularly repeating pattern of high enrollment in the first semester of each academic year and a decline in enrollment in the second semester. The forecasted values of semestral enrollment from AY 2024-2025 to AY 2029-2030 follow an upward trend and a seasonal variation for the first and second semesters. These projections indicate a significant growth in the university’s enrollment over the next following years. This underscores the growing demand for education at the university and signals the necessity for strategic planning to accommodate future student population. The university’s administration can use these insights for informed decision-making regarding resource allocation, budgeting, infrastructure development, and faculty and staff demand to meet the anticipated rise in student enrollment.

Authors

Publication Details

Journal
Advances and Applications in Statistics
Published
2024-10-19
DOI
https://doi.org/10.17654/0972361724080
Primary Topic
Agriculture and Biological Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

FORECASTING THE SEMESTRAL ENROLLMENT OF DOrSU CURRICULAR PROGRAMS

Saturnino Dalagan, Gilbert M. Masinading, Shamie Kein R. Manib
Advances and Applications in Statistics
Agriculture and Biological Studies
article

FORECASTING THE SEMESTRAL ENROLLMENT OF DOrSU CURRICULAR PROGRAMS

Saturnino Dalagan, Gilbert M. Masinading, Shamie Kein R. Manib
article en

Abstract

Forecasting of student enrollment is crucial to the institution since it affects institutions’ income, the number of faculty needed, facility requirements, and budgets. Hence, semestral enrollment projection is needed as it is an important process for students and educational institutions. This study is conducted to forecast the semestral enrollment of Davao Oriental State University curricular programs. The data sets consist of 68 time series observations from 1st semester of SY 1990-1991 to 2nd semester of 2023-2024. Results showed that there is an upward trend in the series, with the number of enrolled students increasing from the first semester of AY 1990-1991 to the first semester of AY 2015-2016. Despite a decrease in enrollment from AY 2015-2016 to AY 2017-2018, the trend resumes its upward trajectory until AY 2023-2024. Additionally, the series appears to exhibit seasonality, with the number of enrolled students showing a regularly repeating pattern of high enrollment in the first semester of each academic year and a decline in enrollment in the second semester. The forecasted values of semestral enrollment from AY 2024-2025 to AY 2029-2030 follow an upward trend and a seasonal variation for the first and second semesters. These projections indicate a significant growth in the university’s enrollment over the next following years. This underscores the growing demand for education at the university and signals the necessity for strategic planning to accommodate future student population. The university’s administration can use these insights for informed decision-making regarding resource allocation, budgeting, infrastructure development, and faculty and staff demand to meet the anticipated rise in student enrollment.

Advances and Applications in StatisticsVol. 91(12)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Agriculture and Biological Studies
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