Uncovering complexity in the jakarta energy planning process using Agent-Oriented analysis

Publication Type:
Conference Proceeding
ACIS 2018 - 29th Australasian Conference on Information Systems, 2018
Issue Date:
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© 2018 Yohanes Dwi Anggoro, Suwin Sandu, and Ghassan Beydoun. The Jakarta Energy Planning Process (JEPP) is expected to be a successful template for other provinces in Indonesia. However, JEPP consists of a complex set of interrelated activities. These activities are fraught with difficulties and errors, including incorrectness, inconsistency, incompleteness, and redundancy in the process under which the Jakarta energy planning is undertaken. This paper aims to identify complexity issues in JEPP with the aim to alleviate these complexities using Agent-Oriented Analysis (AOA). This research uses the Design Science Research (DSR) method and towards the analysis employs seven Agent-Based Modellings (ABMs), including goal model, role model, organisation model, interaction model, environment model, agent model, and scenario model. The research consists of five stages: the synthesis of a preliminary knowledge analysis framework, the identification of complexity issues, recommendation synthesis, and finally the development of the complete knowledge analysis framework. While the analysis undertaken in this paper focuses on Jakarta, the developed knowledge analysis framework should be useful for energy planners in other regions, and research communities in general who are involved in such endeavours in developing complex planning processes.
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