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Zarei, l., Moradi, N., Peiravian, F., and Mehralian, G.,”An application of analytic network process model in supporting decision making to address pharmaceutical shortage,” BMC Health Services Research, p. 20(1), 2020.

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Article

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

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


Journal of Innovations in Teaching and Learning. 2023, Vol. 3 No. 1, 19-22
DOI: 10.12691/jitl-3-1-4
Copyright © 2023 Science and Education Publishing

Cite this paper:
Queeny Eliza D. Saludares, 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.

Correspondence to: Queeny  Eliza D. Saludares, University of Science and Technology of Southern Philippines, Cagayan de Oro City, Philippines. Email: queenyeliza.saludares@ustp.edu.ph

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.

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