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

Based 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...

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Main Authors: Muslihudin, M., Devika, G., Manickam, P., Shankar, K., Putra, D.P., Putra, E.P.S., Huda, M., Hashim, W., Denisova, O.P., Maseleno, A.
Format: Article
Language:English
Published: 2020
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/13046
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spelling my.uniten.dspace-130462020-09-18T04:14:48Z Expert system in determining baby disease using web mobile-based weighted product method Muslihudin, M. Devika, G. Manickam, P. Shankar, K. Putra, D.P. Putra, E.P.S. Huda, M. Hashim, W. Denisova, O.P. Maseleno, A. Based 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. 2020-02-03T03:30:01Z 2020-02-03T03:30:01Z 2019 Article http://dspace.uniten.edu.my/jspui/handle/123456789/13046 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description Based 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.
format Article
author Muslihudin, M.
Devika, G.
Manickam, P.
Shankar, K.
Putra, D.P.
Putra, E.P.S.
Huda, M.
Hashim, W.
Denisova, O.P.
Maseleno, A.
spellingShingle Muslihudin, M.
Devika, G.
Manickam, P.
Shankar, K.
Putra, D.P.
Putra, E.P.S.
Huda, M.
Hashim, W.
Denisova, O.P.
Maseleno, A.
Expert system in determining baby disease using web mobile-based weighted product method
author_facet Muslihudin, M.
Devika, G.
Manickam, P.
Shankar, K.
Putra, D.P.
Putra, E.P.S.
Huda, M.
Hashim, W.
Denisova, O.P.
Maseleno, A.
author_sort Muslihudin, M.
title Expert system in determining baby disease using web mobile-based weighted product method
title_short Expert system in determining baby disease using web mobile-based weighted product method
title_full Expert system in determining baby disease using web mobile-based weighted product method
title_fullStr Expert system in determining baby disease using web mobile-based weighted product method
title_full_unstemmed Expert system in determining baby disease using web mobile-based weighted product method
title_sort expert system in determining baby disease using web mobile-based weighted product method
publishDate 2020
url http://dspace.uniten.edu.my/jspui/handle/123456789/13046
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score 13.211869