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Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods
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Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods
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Journal Article
Dynamics Modeling for Key Performance Indicators in Higher Education Through Optimization Methods
2025
Overview
Dynamic models of higher education Key Performance Indicators (KPI) help in understanding how internal and external factors affect future KPI achievement. This study aims to construct a dynamic model of university KPI variables and estimate model parameters value. Several used steps to achieve goals are problem definition, variables, model formulation, prerequisite estimation, and conformity analysis. This model involves eight KPIs and three types of funding. Three optimization methods used are Type I constrained optimization, Type II constrained optimization, and unconstrained optimization. The results showed that the percentage of graduates getting decent jobs (KPI 1) in the future year is strongly influenced by two KPIs, namely the work of lecturers (KPI 5) and study programs with international accreditation (KPI 8). The existence of active practitioners (KPI 4) opens opportunities for international cooperation (KPI 6) and collaborative learning (KPI 7). Significant investment in improving the quality of lecturers and the right allocation of funds has proven to impact achieving the goals of higher education positively.
Publisher
International Journal of Mathematical, Engineering and Management Sciences,Ram Arti Publishers
