Indonesian Journal of Business Intelligence (IJUBI)
Vol 6, No 1 (2023): Indonesian Journal of Business Intelligence (IJUBI)

IMPLEMENTASI METODE TSUKAMOTO UNTUK SISTEM PEMILIHAN MAKANAN SEHAT BAGI IBU HAMIL

Dhina Puspasari Wijaya (Alma Ata University)
Doni Harisandi (Alma Ata University)
Andri Pramuntadi (Alma Ata University)
Deden Hardan Gutama (Alma Ata University)



Article Info

Publish Date
30 Jun 2023

Abstract

Healthy Food Selection System for Pregnant Women Is a web-based system designed to help pregnant women choose healthy foods during pregnancy (Trimester 1-Trimester 3) based on the number of calories needed in one day by taking into account the nutritional adequacy rate table. The food selection system is designed with ` =the Tsukamoto fuzzy logic method with the hope that the system can produce food recommendations based on the number of calories close to the ideal standard of the Nutritional Adequacy Ratio (RDA). In order To determine the level of accuracy of the system that has been made, validation of the ideal data on the Nutrition Adequacy Rate (RDA) is carried out with a total of 20 pregnant women. The results of the validation of the data generated by the system with ideal data obtained very close results with the largest error rate of 24.89%, so the conclusion is that the healthy food selection system by applying the Tsukamoto fuzzy logic method can be used to recommend healthy foods for pregnant women.

Copyrights © 2023






Journal Info

Abbrev

IJUBI

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Fokus jurnal adalah karya inovatif pada analisis, desain, pengembangan, implementasi, evaluasi program, proyek, dan produk sistem informasi dalam manajemen strategis dan intelijen bisnis. ...