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All Journal JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Rudy Sofian
Institut Digital Ekonomi LPKIA Bandung
Computer Science & IT

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Sistem Monitoring Perkembangan Gizi Anak Menggunakan Metode Fuzzy Logic Rudy Sofian; Fitri Setiyani; Mochamad Rizki Pratama Suhernawan
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 2 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i2.197

Abstract

This study developed a Child Nutrition Monitoring System based on the web that utilizes a Fuzzy Inference System (FIS) to automatically assess the nutritional status of toddlers. The system was designed with a fuzzy logic module comprising fuzzification, inference rules, and defuzzification to process anthropometric data such as weight, height, and age. The system was tested using an anthropometric dataset of ≥10 toddlers and compared with manual assessments based on WHO Z-score standards. Evaluation results show that the system can produce nutritional status classifications consistent with manual calculations, and help posyandu cadres monitor toddlers’ nutritional development regularly through an interactive dashboard. This study demonstrates that the integration of information technology with fuzzy logic can enhance the efficiency and accuracy of child nutrition monitoring at the community level. Recommendations for further development include expanding the dataset and integrating digital sensors for automatic data input.
Co-Authors Fitri Setiyani Mochamad Rizki Pratama Suhernawan