Riau Journal of Computer Science
Vol. 4 No. 2 (2018): Riau Journal of Computer Science

PROTOTIPE SISTEM PENDUKUNG KEPUTUSAN PENDETEKSIAN KONDISI BAYI DENGAN FUZZY TSUKAMOTO

Agung Setiawan (Universitas Pasir Pengaraian)
Budi Yanto (Universitas Pasir Pengaraian)
Kiki Yasdomi (Universitas Pasir Pengaraian)



Article Info

Publish Date
19 Jul 2018

Abstract

Baby condition is a condition that is vulnerable to environmental changes, especially weather changes. Knowledge of a mother in maintaining baby health should also be considered, especially in terms of nutritional intake. A healthy baby's condition affects the baby's growth and development. The creation of a decision support system should be preceded by collecting and analyzing data according to need. In this study using baby feeding variables, namely Body Temperature (37.70c), Fuss (2.4), Restless (4.5), BABSering (3.7), BABEncer (5.6), Bloating (3.5), Nausea (3.7), Vomiting (3.2 ), Stomach Pain (2.7) and Itchy Skin (2.8). The results of the calculations will result in defoliation as follows: Measles (1.48), Septis (1.48), Diarrhea (1.48), ISPA (7.36), Enteritis (0.77), Miliaria (1.48), OMP (1.48) and Varicela (1.48). The range of fuzzy values ranges from 0 to 1, so the results obtained that the baby has enteritis or stomach problems. The calculation of defuzification obtained result of 8.1, so the condition of the baby is very sick and should be handled immediately by bringing to the medical personnel

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Journal Info

Abbrev

RJOCS

Publisher

Subject

Computer Science & IT

Description

Focus and Scope Riau Journal of Computer Science diterbitkan dengan maksud untuk mengumpulkan artikel ilmiah dari peneliti, pemakalah, inovasi, prosiding seminar dan konsep ilmu pengetahuan dalam bidang ilmu komputer, informatika, sistem informasi atau yang relevan, kemudian mempublikasikan artikel ...