Classification of Nutritional Status Using the Fuzzy Mamdani Method : Case Study at Banjar City Hospital

Authors

  • Muhammad Satria Nugraha Universitas Teknologi Yogyakarta
  • Fadil Indra Sanjaya Universitas Teknologi Yogyakarta

DOI:

https://doi.org/10.30871/jaic.v9i4.9893

Keywords:

Fuzzy Mamdani, Nutritional Status, Classification, Decision Support System, Body Mass Index

Abstract

The problem of nutritional status in adults requires accurate and adaptive classification methods. This study aims to develop a decision support system using the Fuzzy Mamdani method to classify nutritional status based on Body Mass Index (BMI). A dataset consisting of 237 anthropometric records from Banjar City Regional General Hospital was utilized. The system applies five fuzzy rules to map BMI values into nutritional categories: malnutrition, underweight, normal, overweight, and obesity. The classification process involves fuzzification, inference, and defuzzification using the centroid method. System performance evaluation shows an overall accuracy of 91.13%, with the highest classification precision achieved in the normal category (98.54%) and the lowest in the malnutrition category (30.77%). The results demonstrate that the Fuzzy Mamdani method is effective for nutritional classification, although refinement is needed for underrepresented categories. This system can serve as a useful tool for supporting clinical decision-making in public health services.

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Published

2025-08-06

How to Cite

[1]
M. S. Nugraha and F. I. Sanjaya, “Classification of Nutritional Status Using the Fuzzy Mamdani Method : Case Study at Banjar City Hospital”, JAIC, vol. 9, no. 4, pp. 1498–1505, Aug. 2025.

Issue

Vol. 9 No. 4 (2025): August 2025

Section

Articles

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Copyright (c) 2025 Muhammad Satria Nugraha, Fadil Indra Sanjaya

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