Journal of Innovations in Teaching and Learning
ISSN (Print): ISSN Pending ISSN (Online): 2945-4638 Website: https://www.sciepub.com/journal/jitl Editor-in-chief: Laila S. Lomibao
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Journal of Innovations in Teaching and Learning. 2023, 3(1), 19-22
DOI: 10.12691/jitl-3-1-4
Open AccessArticle

Optimizing Allocation and Distribution of Students’ Assistance Among SUCs Using Analytic Network Process (ANP)

Queeny Eliza D. Saludares1, and Rhoda A. Namoco1

1University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines

Pub. Date: May 07, 2023

Cite this paper:
Queeny Eliza D. Saludares and Rhoda A. Namoco. Optimizing Allocation and Distribution of Students’ Assistance Among SUCs Using Analytic Network Process (ANP). Journal of Innovations in Teaching and Learning. 2023; 3(1):19-22. doi: 10.12691/jitl-3-1-4

Abstract

This study proposed an ANP model as a decision-making tool to aid in allocating and distributing the students’ assistance among the respective colleges and the SHS department of the university. The criteria considered were (1) the total population of students for each college/department, (2) the availability of technology for online classes such as analog phones, smartphones, tablets, laptops, or desktop computers; and (3) the availability of internet connections such as broadband, direct subscription line (DSL), mobile data, piso-wifi/net or no internet connections. Consequently, priority proportions for each college/ department that would be a basis for allocating student assistance were obtained. Super Decisions software was utilized to generate the result of the ANP model. Lastly, to evaluate the robustness of the results, a sensitivity analysis was conducted.

Keywords:
analytic network process optimization allocation student assistance

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