Application of Imprecise Decision Modeling for Regional Development Policies in Indonesia

Novita Erlinda(1*), Akhmad Fauzi(2), Akhmad Fauzi(3), Slamet Sutomo(4), Slamet Sutomo(5), Eka Intan Kumala Putri(6), Eka Intan Kumala Putri(7)

(1) School of Rural Planning and Development Bogor Agricultural University
(2) School of Rural Planning and Development Bogor Agricultural University
(3) School of Rural Planning and Development Bogor Agricultural University
(4) School of Rural Planning and Development Bogor Agricultural University
(5) School of Rural Planning and Development Bogor Agricultural University
(6) School of Rural Planning and Development Bogor Agricultural University
(7) School of Rural Planning and Development Bogor Agricultural University
(*) Corresponding Author

Abstract

Regional Development encompasses many aspect of economic, social, and environmental attributes. In the context of developing country, the decision to fulfill these attributes are often hindered by lack of clear development scenarios and constraints. This study is an attempt to capture the complexity of decision makers for regional development scenarios using imprecise decision modeling (IDM) by incorporating imprecise information and uncertainties. A series of social, economic and environmental criteria based on agreement from multi stakeholders dialogues were developed along with four policy development scenarios. Results from such a modeling provides variety of decision alternatives based on probabilities and risk assessment associated with achieving policy objectives.

Keywords

Regional development, imprecise decision modeling, risk and imprecise information

Full Text:

PDF

References

Danielson, M, Ekenberg, L. (1996). “A Framework for Analysing Decisions Under Risk”. DECIDE Research Group, Department of Computer and Systems Sciences, Royal Institute of Technology and Stockholm University, Electrum 230, S-164 40 Kista, Sweden.

Danielson, M, Ekenberg, L., Johansson, J, and Larsson, M. (2003a). “The DecideIT Decision Tool”, Proceedings of ISIPTA’03, Bernard, J-M, Seidenfelf, T, and Zaffalon, M. (eds), 204-217, Carleton Scientific.

Danielson, M, Ekenberg, L., Johansson, J, and Larsson, M. (2003b). “Decision Evaluation of Three Flood Management Strategies”, Department of Informatics / ESI Örebro University SE-701 82 Örebro, SWEDEN, and Department of Information Technology Mid Sweden University SE-851 70 Sundsvall, SWEDEN.

Danielson, M. (2004). “Handling Imperfect User Statements in Real-Life Decision Analysis”. DECIDE Research Group, Department of Informatics/ESI Orebro University, SE-701 82 ¨ Orebro, Sweden.

Fauzi, A, dan Oxtavianus, A.( 2014). “The Measurement of Sustainable Development in Indonesia”. Jurnal Ekonomi Pembangunan Vol 15, Nomor 1, 68-83, Juni 2014.

Giaoutzi, M, and P. Nijkamp. (1993). “Decision Support Model for Regional Sustainable Development”. Avebury, UK.

Haughton, G., D. Counsell. (2004). “Regions and sustainable development: Regional Planning matters”. The Geographical Journal, Vol 170(2), 135-145.

Idefeldt, J, and Danielson M. (2006). “Multi-Criteria Decision Analysis Software for Uncertainand Imprecise Information”. Stockholm University & Royal Institute of Technology Forum 100, SE-164 40 Kista, Sweden.

Idefeldt, J. (2007). ”An Applied Approach to Numerically Imprecise Decision Mmaking”. Thesis for the degree of Doctor in Computer Science Department of Information Technology and Media Mid Sweden University, SE-851 70 Sundsvall, Sweden.

Kivunike, F.N, Ekenberg, L, Danielson,M, and Tusubira, F, F. (2015). “Using a Structured Approach to Evaluate ICT4D: Healtcare Delivery in Uganda”. The Electronic Journal of Information Systems in Developing Countries

Mihai, A, Marincea, A, and Ekenberg, L. (2015). “A Multicriteria Decision-Making Analysis of the Roșia Montană Gold Mining Project”, Research undertaken by MRC–Median Research Centre, Bucharest, Romania eGovlab, Department of Computer and Systems Sciences, Stockholm University.

WCED. (1987). Report of the World Commission on Environment and Development: Our Common Future

DOI: 10.23917/jep.v17i1.1734

Article Metrics

Abstract view(s): 718 time(s)
PDF: 431 time(s)

Refbacks

  • There are currently no refbacks.