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Expert system in determining baby disease using web mobile-based weighted product method

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dc.citedby7
dc.contributor.authorMuslihudin M.en_US
dc.contributor.authorDevika G.en_US
dc.contributor.authorManickam P.en_US
dc.contributor.authorShankar K.en_US
dc.contributor.authorPutra D.P.en_US
dc.contributor.authorPutra E.P.S.en_US
dc.contributor.authorHuda M.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorDenisova O.P.en_US
dc.contributor.authorMaseleno A.en_US
dc.contributor.authorid57188749770en_US
dc.contributor.authorid56880333600en_US
dc.contributor.authorid57209506053en_US
dc.contributor.authorid56884031900en_US
dc.contributor.authorid57209739045en_US
dc.contributor.authorid57209730984en_US
dc.contributor.authorid56712456800en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid57209180290en_US
dc.contributor.authorid55354910900en_US
dc.date.accessioned2023-05-29T07:25:42Z
dc.date.available2023-05-29T07:25:42Z
dc.date.issued2019
dc.description.abstractBased on the health minister of the republic of Indonesia the number of infant deaths have been decreased from 33,278 in 2015 to 32,007 in 2016 and in 2017 as many as 10,294 cases. This study was conducted to determine the type of disease suffered through the symptoms observed using weighted product method. The weighted method was chosen because it was able to determine the disease of the alternatives. The function of this method is to determine the weight value of each alternative and predetermined disease criteria. There are 7 criteria used in this research are: (1) Crying Excessively, (2)Fever, (3)Diarrhea, (4)Skin Problem, (5)Weight Gain, (6)Height Growth (7)Communication Growth. In addition to criteria also used the criteria weighting value to determine the disease of alternative calculations obtained the largest value contained there at with a value of 0.123, which means that baby 9 is a baby who suffers from many diseases. � BEIESP.en_US
dc.description.natureFinalen_US
dc.identifier.epage3308
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85068566838
dc.identifier.spage3299
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068566838&partnerID=40&md5=5f58ef4be9a2620db09d4f1ee568f392
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24671
dc.identifier.volume8
dc.publisherBlue Eyes Intelligence Engineering and Sciences Publicationen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Recent Technology and Engineering
dc.titleExpert system in determining baby disease using web mobile-based weighted product methoden_US
dc.typeArticleen_US
dspace.entity.typePublication
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