alexa Policy Analysis of Sustainable GMO Management Using Dec
ISSN: 2169-0111

Advancements in Genetic Engineering
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Review Article

Policy Analysis of Sustainable GMO Management Using Decision Making Method in Indonesia

Deswina P1*, Syarief R2, Rachman LM3and Herman M3
1Bogor Agricultural University.Baranang Siang Campus, Research Center for Biotechnology, LIPI, Indonesia
2Faculty of Agricultural Technology, IPB, Indonesia
3Agricultural Biotechnology and Genetic Resource Research and Development, Agricultural Ministry, Indonesia
Corresponding Author : Puspita Deswina
Post Graduate Student of Natural Resources Management and Environment
Bogor Agricultural University
Baranang Siang Campus, Bogor, Indonesia
Received April 30, 2013; Accepted June 21, 2013; Published June 24, 2013
Citation: Deswina P, Syarief R, Rachman LM and Herman M (2013) Policy Analysis of Sustainable GMO Management Using Decision Making Method in Indonesia. Adv Genet Eng 2:107. doi: 10.4172/2169-0111.1000107
Copyright: © 2013 Deswina P, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Technology of genetic modifying is an alternative way to improve both the quality and the quantity of agricultural products. Genetically Modified Organism (GMO) as the product of new technology requires an excellent management strategies especially for the biosafety of the products before being released and commercialized. This study aims to determine the policy priorities in making the right decisions in order to manage a sustainable GMO while reducing the side effects of this technology to the environment and human health. The outputs of policy making based on experts justification are divided into four (4) levels, they are: Focus, Factor, Criteria and Alternative ways 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 GMO. The gene flow of GMO crop to non GMO crop is 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. GMO 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) is 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 Modelling) quadrant matrix, alternative elements are scattered into three quadrants; dependence, linkage and independent.


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