A DECISION-MAKING FRAMEWORK FOR PRIORITIZING GREEN RETROFIT STRATEGIES IN CLINIC BUILDINGS USING AHP

Akhmad F. K. Khitam (Department of Civil Engineering, Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara)
Mochammad Qomaruddin (Department of Civil Engineering, Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara)
Ndaru Ahmad Rizqi (Department of Civil Engineering, Faculty of Science and Technology, Universitas Islam Nahdlatul Ulama Jepara)
Lindawati (Department of Civil Engineering, Faculty of Engineering, Universitas Semarang)
Zakhy Muhammad Luthfi (Department of Civil Engineering, Faculty of Engineering and Computer Science, Universitas Sains Al-Qur'an)
Mohammad Debby Rizani (Department of Civil Engineering, Faculty of Engineering and Informatics, Universitas PGRI Semarang)
Annisa' Carina (Department of Civil Engineering, Faculty of Science and Technology, Universitas Islam Darul Ulum)
Supaphorn Akkapin (International Collage of Rajamangala University of Technology Krungthep)

Jurnal Ilmiah Arsitektur
Vol. 16 No. 1 (2026): Juni

Clinic buildings face challenges in improving environmental performance while maintaining operational efficiency and occupant comfort. This study aims to develop an Analytical Hierarchy Process (AHP)-based decision-making framework to prioritize green retrofit criteria for clinic buildings. The research was conducted by identifying relevant criteria and sub-criteria through a literature review and obtaining pairwise comparison judgments from 18 experts. The results indicate that the Economic criterion has the highest priority with a weight of 66.05%, followed by Health & User Comfort (18.96%), Technical (9.26%), and Environmental (5.74%) criteria. These findings suggest that financial feasibility is the primary consideration in green retrofit decision-making, although indoor environmental quality and occupant well-being remain important factors in healthcare facilities. The consistency test produced a Consistency Ratio (CR) of 0.0744, indicating acceptable judgment consistency. Furthermore, sensitivity analysis confirmed that the priority structure remained stable under various weight variation scenarios. Therefore, the proposed AHP framework can serve as a practical decision-support tool for prioritizing green retrofit initiatives in clinic buildings.