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All Journal International Conference on Sciences Development and Technology
Syahputri, Nenna Irsa
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics

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Journal : International Conference on Sciences Development and Technology

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Application of Simple Multi-Attribute Rating Technique Exploiting Rank (SMARTER) Method In Seed Selection Superior Corn in Silau Mangi Village Blaster, Irena; Lubis, Riri Syafitri; Syahputri, Nenna Irsa
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

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Abstract

Agriculture is one of the important sectors in Indonesia. Most of Indonesia's population depends on the agricultural sector,one of which is corn farmers. Cultivation of corn plants starts from choosing quality seeds. Determination of quality cornseeds aims to increase productivity and quality of production. Various efforts can be made to increase corn production suchas the use of superior corn seeds. Efforts to increase corn production are still experiencing several obstacles, such as the lackof understanding of farmers in determining superior corn seeds. This study aims to apply the SMARTER method in selectingsuperior maize seeds in order to increase maize production. The Simple Multi Attribute Rating Technique Exploiting Rank(SMARTER) method is one of the methods in a decision support system whose solution is by using Rank Order Centroid(ROC) weighting on each criteria and sub-criteria. The results of the research carried out obtained five criteria that were usedas an assessment in the selection of corn seeds, namely resistance to pests, seed size, production yield, environmentaladaptation and harvest time
Co-Authors Blaster, Irena Riri Syafitri Lubis