Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/13308
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dc.contributor.authorNguyen, P.T.en_US
dc.contributor.authorNguyen, Q.L.H.T.T.en_US
dc.contributor.authorHashim, W.en_US
dc.contributor.authorMaseleno, A.en_US
dc.contributor.authorSusilowati, T.en_US
dc.contributor.authorSuyonoen_US
dc.contributor.authorHuynh, V.D.B.en_US
dc.contributor.authorVu, N.B.en_US
dc.contributor.authorLe, L.P.en_US
dc.contributor.authorVo, K.D.en_US
dc.contributor.authorPhan, P.T.en_US
dc.date.accessioned2020-02-03T03:31:43Z-
dc.date.available2020-02-03T03:31:43Z-
dc.date.issued2019-
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/13308-
dc.description.abstractWorld agriculture still faces challenges quite fundamental, it is about the quality issues and the increasing of competitiveness through productivity and the eficiency. This research focused on the criteria of best tomato types and how to apply the Simple Additive weighting method (SAW) into a Decision Support System (DSS) for election best quality tomato that can assist farmers in determining the best type of tomato for renewable energy and supply chain strategy, based on the criteria that have been chosen, such as: tomato size, tomato color, tomato shape and tomato disease. By using the application of Simple Additive weighting method into Decision Support Systems value, it can be concluded that V5 is the best quality tomato and has a predicate value of 83.75 with the fragile values, as follows: 50-69 = Enough, 70-82 = Good, 83-100 = Best. © ExcelingTech Pub, UK.
dc.language.isoenen_US
dc.titleBest quality tomato selection by supply chain strategy for renewable energyen_US
dc.typeArticleen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:UNITEN Scholarly Publication
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