Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/11626
DC FieldValueLanguage
dc.contributor.authorSari, N.Y.en_US
dc.contributor.authorHuda, M.en_US
dc.contributor.authorMat Teh, K.S.en_US
dc.contributor.authorSari, A.en_US
dc.contributor.authorRamli, R.en_US
dc.contributor.authorMasele-No, A.en_US
dc.date.accessioned2019-01-16T23:41:39Z-
dc.date.available2019-01-16T23:41:39Z-
dc.date.issued2018-
dc.description.abstractChili is a high value vegetable commodity. Because there are still many people who do not understand the type of superior chili plant. Because all this time the community determines the superior chili plants only by guessing, because of that, it was developed a Decision Support System which was used to determine the superior chili plant. Sample (alternative) of this research were 3 types of chili plant, namely cayenne curly chili, large chili. While the criteria used were plant age, plant height, leaf conditions, number of leaves and the results obtained from this study large chili plants are the highest ranked. The method used in determining the superior chili was Simple Additive Weighting (SAW), and the construction of Decision Support System (DSS) to determine superior chili plant using the Delphi 7 application program. © 2018 Noca Yolanda Sari et. al.
dc.language.isoenen_US
dc.titleDecision support system for determining chili plant using fuzzy multiple attribute decision makingen_US
dc.typeArticleen_US
dc.identifier.doi10.14419/ijet.v7i4.18836-
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:UNITEN Scholarly Publication
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.