Implementation of the Mamdani Fuzzy Method for Daily Total Calorie Intake Recommendation for Patients with Type 2 Diabetes
Implementation of the Mamdani Fuzzy Method for Daily Total Calorie Intake Recommendation for Patients with Type 2 Diabetes
DOI:
https://doi.org/10.37859/coscitech.v7i1.11027
Abstract
Type 2 Diabetes Mellitus is a metabolic disease that requires precise regulation of daily calorie intake to maintain stable
blood sugar levels. Determining calorie requirements is not simple because it must take into account factors such as age, gender,
body mass index (BMI), and physical activity level. This study aims to develop a Mamdani fuzzy logic-based expert system to
provide recommendations for daily calorie requirements for people with type 2 diabetes. The system process is carried out
through the stages of fuzzification, inference, aggregation, and defuzzification using the centroid method. Testing was conducted
using 20 type 2 diabetes patient data with input variables of age, height, weight, gender, and physical activity. The testing
methods used were accuracy and black-box. Accuracy testing was performed by comparing the system's results with manual
calculations based on medical standards, while black-box testing ensured that the system functioned as designed. The results
showed that the system had an accuracy rate of 80%, making it sufficiently valid and usable as a tool for recommending daily
calorie intake to support diet management for type 2 diabetes patients.
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References
M. K. F. Saputra, M. Masdarwati, N. N. Lala, S. B. Tondok, and R. Pannyiwi, “Analysis of the Occurrence of Diabetic Wounds in People with Diabetes
Mellitus,” Jurnal Ilmiah Kesehatan Sandi Husada, vol. 12, no. 1, pp. 143–149, Jun. 2023, doi: 10.35816/jiskh.v12i1.915.
A. Aminuddin et al., “Edukasi Kesehatan Tentang Penyakit Diabetes Melitus bagi Masyarakat,” Abdimas Polsaka: Jurnal Pengabdian Kepada Masyarakat
e-ISSN, vol. 2, no. 1, 2023, doi: 10.35816/abdimaspolsaka.
Yusril Haza Mahendra, Ririen Kusumawati, and Imamudin, “Analisis Data Mining Untuk Deteksi Diabetes Mellitus Menggunakan Naïve Bayes,” Jurnal
CoSciTech (Computer Science and Information Technology), vol. 6, no. 1, pp. 39–44, May 2025, doi: 10.37859/coscitech.v6i1.7954.
Y. Febriani et al., “Pengenalan dan Pencegahan Diabetes Sejak Dini serta Pengecekan Kadar Gula Darah,” Mejuajua: Jurnal Pengabdian pada Masyarakat,
vol. 1, no. 2, pp. 5–8, Dec. 2021, doi: 10.52622/mejuajuajabdimas.v1i2.12.
K. Dr. Ir. Diah, D. R. M.S., and Y. M. S. Dr. Ir. Rina, Diet Sehat Untuk Penderita Diabetes Mellitus . 2014.
A. W. Naviaddin, B. H. Prasetio, and R. Primananda, “Sistem Identifikasi Kesehatan Berdasarkan Detak Jantung, Kadar Oksigen, dan Suhu Tubuh
Menggunakan Metode Fuzzy Mamdani,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 10, no. 5, pp. 1003–1014, Oct. 2023, doi:
25126/jtiik.2023106956.
H. K. Wardana, I. Ummah, and L. A. Fitriyah, “Sistem Pakar Fuzzy dengan Metode Sugeno Untuk Diagnosa Penyakit Diabetes Mellitus,” Jurnal Fisika
Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat, vol. 19, no. 2, p. 118, Jun. 2022, doi: 10.20527/flux.v19i2.9607.
I. B. Nugroho, Gunawan, and A. M. Triwinanto, “PENERAPAN FUZZY MAMDANI UNTUK SISTEM PENDUKUNG KEPUTUSAN
PEMILIHANTELEPON SELULER,” Jurnal Teknik Elektro dan Informatika, vol. 18, no. 2, 2023.
U. L. Usnul and Zaenal Alamsyah, “Implementasi fuzzy mamdani sebagai pendukung keputusan pada sistem monitoring air layak konsumsi,” Jurnal
CoSciTech (Computer Science and Information Technology), vol. 4, no. 1, pp. 15–24, Apr. 2023, doi: 10.37859/coscitech.v4i1.4479.
Thomas Andrew Imanzaghi, Henni Endah Wahanani, and Agung Mustika Rizki, “Implementasi Metode Fuzzy Mamdani pada Sistem Pakar Mendiagnosis
Penyakit Demam Berdarah,” Bridge : Jurnal publikasi Sistem Informasi dan Telekomunikasi, vol. 3, no. 1, pp. 01–20, Feb. 2025, doi:
62951/bridge.v3i1.378.
M. G. Sutisna, M. A. S. Yudono, M. Artiyasa, P. Narputo, and A. E. Jakfar, “Sistem Pendukung Keputusan Tingkat Stres Mahasiswa dengan Fuzzy
Mamdani,” RIGGS: Journal of Artificial Intelligence and Digital Business, vol. 4, no. 1, pp. 255–264, Apr. 2025, doi: 10.31004/riggs.v4i1.403.
F. Nur and M. Fakhriza, “Optimalisasi Persediaan Obat Imunisasi Dengan Penerapan Algoritma Logika Fuzzy Mamdani,” Jurnal Algotirma, vol. 22, no.
, Jul. 2025, doi: 10.33364/algoritma/v.22-1.2364.
