Publication:
Identification of sundep, leafhopper and fungus of paddy by using fuzzy SAW method

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dc.citedby14
dc.contributor.authorAbadi S.en_US
dc.contributor.authorHawi A.en_US
dc.contributor.authorAklaen_US
dc.contributor.authorDacholfany I.en_US
dc.contributor.authorHuda M.en_US
dc.contributor.authorTeh K.S.M.en_US
dc.contributor.authorWalidi J.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorMaseleno A.en_US
dc.contributor.authorid57203514043en_US
dc.contributor.authorid57208524841en_US
dc.contributor.authorid57207888935en_US
dc.contributor.authorid57196084106en_US
dc.contributor.authorid56712456800en_US
dc.contributor.authorid56287877400en_US
dc.contributor.authorid57208526589en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid55354910900en_US
dc.date.accessioned2023-05-29T07:30:30Z
dc.date.available2023-05-29T07:30:30Z
dc.date.issued2019
dc.descriptioncaterpillar; data analysis; decision support system; fungus; fuzzy system; geographic information system; leaf damage; leafhopper; Lepidoptera; nonhuman; plant disease; Review; Scirpophaga innotata; spot blotch; system analysis; wheaten_US
dc.description.abstractThe process of disease identification of paddy must be in accordance with predetermined criteria. To assist in selecting the determination of participants, they must identify disease characteristics, a decision support system is needed. One method that can be used for decision support systems is FMADM (Fuzzy Multiple Addective Decision Making). Where in this study using the method of SAW (Simple Addictive Weighted) is to find the best alternative from several alternatives. Where the best alternative is based on predetermined criteria. This method was chosen because it was able to choose the best alternative, namely the best identification based on the criteria entered, then look for the weight score of each attribute, after the process of looking for ranking to get the best alternative, namely disease in paddy. � 2019, Advanced Scientific Research. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.31838/ijpr/2019.11.01.093
dc.identifier.epage699
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85065020016
dc.identifier.spage695
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85065020016&doi=10.31838%2fijpr%2f2019.11.01.093&partnerID=40&md5=d050fcbea9b9669a0dab46355449e9b3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25021
dc.identifier.volume11
dc.publisherAdvanced Scientific Researchen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Pharmaceutical Research
dc.titleIdentification of sundep, leafhopper and fungus of paddy by using fuzzy SAW methoden_US
dc.typeReviewen_US
dspace.entity.typePublication
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