A Model to Predict the Perception of University Stakeholders Towards a Smart Campus
DOI:
https://doi.org/10.64290/bima.v9i2A.1065Keywords:
Smart Campus; University Stakeholders; Analytical Hierarchical Processing; Pairwise Comparison.Abstract
This study developed a model to predict the perception of university stakeholders toward a smart campus, emphasizing a human-centered, learning-oriented model. The identified stakeholders include students, academic staff, the management team, non-academic staff, vendors (technology providers and system integrators) and regulatory bodies. The research employed the Analytical Hierarchical Processing (AHP) to evaluate stakeholders' roles based on four criteria: influence on campus, dependency of the campus on the stakeholder, engagement of the stakeholder, and impact of the stakeholder on campus. Purposive sampling was used to select individuals who have significant knowledge about a smart campus, ensuring participants have relevant insights into the stakeholder dynamics. Result from the pairwise comparison indicates, students were identified as the most influential stakeholders, followed by academic staff and the management team. Similarly, students, academic staff, and the management team ranked highest in their impact on the campus. In terms of dependency, students and academic staff shared the highest criteria weight (0.27), with the management team following with a criteria weight of 0.26. While in terms of smart campus engagement, academic staff ranked the highest (0.42), followed by students (0.21) and the management team (0.09). Non-academic staff, vendors, and regulatory bodies consistently ranked lower across all criteria. The results were verified using a consistency ratio (CR ≤ 0.1), indicating reliability and suitability for decision-making processes.