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

Anggoro, YD; Sandu, S; Beydoun, G

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

Anggoro, YD

Sandu, S Beydoun, G

Permalink

Publication Type:: Conference Proceeding
Citation:: ACIS 2018 - 29th Australasian Conference on Information Systems, 2018
Issue Date:: 2018-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Microsoft Word XML

Download Accepted Manuscript versionMicrosoft Word XML (1.17 MB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Anggoro, YD https://orcid.org/0000-0003-2149-2991	en_US
dc.contributor.author	Sandu, S	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	ACIS 2018 - 29th Australasian Conference on Information Systems, 2018	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130128
dc.description.abstract	© 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.	en_US
dc.relation.ispartof	ACIS 2018 - 29th Australasian Conference on Information Systems	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Uncovering complexity in the jakarta energy planning process using Agent-Oriented analysis	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Professional Practice and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US

Abstract:

© 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/130128