Development Of The AHP Method To Support Go Green Policy For EEST Sustainability

Abstrak

The escalating challenges of environmental degradation, climate change, and unsustainable resource consumption have prompted the need for integrated strategies to advance sustainable development. This study aims to develop a decision-making model based on the Analytic Hierarchy Process (AHP) to evaluate and prioritize Go Green policy alternatives across four critical sustainability dimensions: Environmental, Economic, Social, and Technological (EEST). The methodology employed structured pairwise comparisons with inputs from fifteen experts representing government, academia, non-governmental organizations, and the private sector. Findings reveal that the environmental dimension holds the highest priority weight (0.405), followed by economic (0.270), technological (0.190), and social (0.135) aspects. Among the policy alternatives assessed, Circular Economy and Waste Management ranked highest, reflecting its broad potential to enhance resource efficiency, reduce emissions, and foster community engagement. Despite the model's strengths, the study is limited by its reliance on a specific group of experts, which may restrict the generalizability of the results across broader stakeholder populations or geographic contexts. This research contributes to the fields of public policy, environmental management, sustainability assessment, and decision support systems by providing a structured, transparent, and participatory framework. The proposed AHP-based model offers a scalable approach for policymakers seeking to align environmental priorities with inclusive and innovation-driven development goals.