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Autonomous decision-making in this study is defined as the process whereby decision-makers autonomously find problems/goals and make decisions for achieving the selected problems/goals. It is performed in a responsible manner based on the information available. For renewable energy use or waste management, decentralized autonomous decision-making is considered to be effective, since local information related to energy demand and renewable energy use are indispensable for effective policy design. However, it is difficult to design policies for promoting effective autonomous decision-making, because there are various stakeholders who can independently make decisions regarding these issues, and they interact between each level within the hierarchical structure. This study aims to identify the autonomous decision-making process within a series of case studies, and is then analyzed to evaluate the contribution of each decision to achieving the goal. The local activities related to energy and/or environment in Rukun Warga (RW) communities are selected as case studies. Although a project/activity has been designed for the community, related decision making is considered across every level of the hierarchy. A framework for autonomous properties identification is developed. Using four main steps in the framework, five communities in several Indonesian cities are investigated and described by using Petri-net. The framework developed in this study is utilized for identifying and extracting autonomous properties in practical decision making processes.

Framework for Identifying Autonomous DecisionMaking Process in Energy and Environmental Issues: Case Studies in Indonesian Communities (Rukun Warga)