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All Journal Jurnal Media Infotama Jurnal Ilmu Komputer Dan Informatika
Putra, Yonaldo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Deteksi Gizi Buruk Pada Balita Menggunakan Metode Fuzzy Logic (Studi Kasus Puskesmas Kecamatan Semidang Alas Kabupaten Seluma) Reswan, Yuza; Darnita, Yulia; Mahfuzhi, A.R Walad; Putra, Yonaldo
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5626

Abstract

Nutrition plays a crucial role in maintaining health and well-being throughout the life cycle, especially in toddlers. Malnutrition can affect the physical growth, intelligence, and productivity of children. Factors such as economic conditions, parental attention, and unsupportive environments can contribute to cases of malnutrition in toddlers. Suboptimal monitoring of toddler development can increase the prevalence of malnutrition cases. This research aims to develop a Fuzzy Logic-based Decision Support System (DSS) application to detect malnutrition in toddlers, with a focus on the Semidang Alas Community Health Center in Seluma Regency. This study discusses variables for assessing malnutrition in toddlers, applies the Fuzzy Logic method to detect these conditions, and designs an application to diagnose malnutrition in toddlers. The research also includes community education on weight changes in malnourished toddlers and general nutritional status, providing input to improve services for malnourished toddlers. Assessment criteria involve the child's weight, height, and age, using Fuzzy Logic and DSS Application for data processing. Information handling related to malnutrition is limited to visible symptoms. Software development focuses on recognizing malnutrition diagnoses in children aged 0-5 years. A case study was conducted at the Semidang Alas Community Health Center using direct observation, nurse/midwife interviews, questionnaires, and literature reviews. System needs analysis used the Fuzzy Sugeno method. The malnutrition detection application was successfully built using Fuzzy Logic, providing detection results based on age, weight, and height. The defuzzification process produced detection values as a reference for further treatment. Application development involved both display and data aspects, with testing conducted with relevant parties to ensure the accuracy of detection results. User criticisms and suggestions provided valuable input for the improvement and development of this application.
Penggunaan Metode Fuzzy Logic Untuk Mendeteksi Gizi Buruk Pada Balita Yuza Reswan; Putra, yonaldo; Yulia Darnita; Dandi Sunardi
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol. 6 No. 2 (2023): Desember
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jukomika.v6i2.529

Abstract

Nutrition has a crucial role in terms of health in life, especially in toddler nutrition. Poor nutrition can affect a child's physical growth, intelligence, and productivity. Factors such as economic conditions, parental attention, and an unsupportive environment can cause cases of malnutrition in toddlers. Less optimal nutritional monitoring in toddlers affects the growth and development of toddlers. This study seeks to develop applications based on Fuzzy Logic as a detection of malnutrition in toddlers, focusing on Pusk-esmas Semidang Alas Seluma Regency. This study discusses the variables of assessing malnutrition in toddlers, applying the Fuzzy Logic method in detecting these conditions, and designing applications to diagnose malnutrition in toddlers. The research also includes counseling the public about weight changes in malnourished toddlers and general nutritional status, by providing input to improve services for malnourished toddlers. Application development involves aspects of display and data, as well as testing with related parties to ensure the accuracy of detection results. User criticism and suggestions become valuable input for the improvement and development of this application.
Co-Authors Darnita, Yulia Mahfuzhi, A.R Walad Yuza Reswan