select ad.sno,ad.journal,ad.title,ad.author_names,ad.abstract,ad.abstractlink,j.j_name,vi.* from articles_data ad left join journals j on j.journal=ad.journal left join vol_issues vi on vi.issue_id_en=ad.issue_id where ad.sno_en='7688' and ad.lang_id='5' and j.lang_id='5' and vi.lang_id='5' Policy Analysis of Sustainable GMO Management Using Decision | 7688
Progrès en génie génétique

Progrès en génie génétique
Libre accès

ISSN: 2169-0111

Abstrait

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

Deswina P, Syarief R, Rachman LM and Herman M

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.

Clause de non-responsabilité: Ce résumé a été traduit à l'aide d'outils d'intelligence artificielle et n'a pas encore été révisé ou vérifié.
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