Policy Analysis of Sustainable Genetically Engineered Plants (GEPs) Management Using Decision Making Method in Indonesia  

Deswina P1 , Syarief R2 , Rachman L M3 , Herman M4
1. Research Center for Biotechnology, LIPI, Indonesia
2. Faculty of Agricultural Technology, Bogor Agricultural University, Indonesia
3. Faculty of Agriculture, Bogor Agricultural University PB; Indonesia
4. Agricultural Biotechnology and Genetic Resource Research and Development, Agricultural Ministry, Indonesia
Author    Correspondence author
GMO Biosafety Research, 2015, Vol. 6, No. 1   doi: 10.5376/gmo.2015.06.0001
Received: 17 Oct., 2014    Accepted: 30 Dec., 2014    Published: 17 Feb., 2015
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Deswina et al., 2015, Policy Analysis of Sustainable Genetically Engineered Plants (GEPs) Management Using Decision Making Method in Indonesia, GMO Biosafety Research, Vol.6, No.1 1-9 (doi: 10.5376/gmo.2015.06.0001)

Abstract

Technology of genetic engineered is an alternative way to improve both the quality and the quantity of agricultural crops. Genetically Engineered Plants (GEPs) as the product of modern technology requires an excellent management strategies especially for the biosafety of the products before being released to commercialized to the public. This study aims determine the policy priorities in making the right decisions in order to GEPs management could be more effective and sustainable while reducing the side effects of this technology to the environment and human health. System analysis approach to take decisions using the Analytical Hierarchy Process (AHP) and Interpretative Structural Modeling (ISM). The outputs of possible policy making based on expert justifications were divided into four (4) levels, i.e.: Focus, Factor, Criteria and Alternative way level. The synthesized of experts justifications on environmental, economic, social and technological factors, give a nearly equal (eigen) values to the previous four levels, so they are concluded in having the same priority in managing of GEPs. The gene flow of GEPs to non GEPs was the most important element to be considered with the eigen values 0.278. The increase of farmer’s income with eigen values 0.358 is considered as the most important criteria of economic factor. GEPs safety to human health (0.464) is the preferred social elements. Last but not least, the human resource capability in doing biosafety test (0.580) was the most important criteria for the technology factor. Based on the alternatives compiled by the experts, law enforcement elements of the rules must be done by 0.187 eigen values- compared with other alternatives. Also based on ISM (Interpretative Structural Modeling) quadrant matrix, alternative elements are scattered into three quadrants; dependence, linkage and independent.

Keywords
Genetically Engineered Products (GEPs); Biosafety; Environmental safety; AHP; ISM
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