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.
Other Authors: 57188749770
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Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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spelling my.uniten.dspace-246712023-05-29T15:25:43Z 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. 57188749770 56880333600 57209506053 56884031900 57209739045 57209730984 56712456800 11440260100 57209180290 55354910900 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. Final 2023-05-29T07:25:42Z 2023-05-29T07:25:42Z 2019 Article 2-s2.0-85068566838 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068566838&partnerID=40&md5=5f58ef4be9a2620db09d4f1ee568f392 https://irepository.uniten.edu.my/handle/123456789/24671 8 1 3299 3308 Blue Eyes Intelligence Engineering and Sciences Publication Scopus
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/
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.
author2 57188749770
author_facet 57188749770
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
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_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
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2023
_version_ 1806427654935543808
score 13.211869