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All Journal Limits: Journal of Mathematics and Its Applications
Achmad Suryadi Nasution
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Computer Science & IT Mathematics

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Optimasi Komposisi Makanan Penderita Diabetes dengan Hybrid Genetic Algorithm dan Modified Simulated Annealing Achmad Suryadi Nasution; Ilham Saputra; Anisa Nur Rosidha; Lutfi Mardianto
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 3 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 3 Edisi No
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i3.8857

Abstract

Diabetes mellitus is one of the deadliest diseases. Factors that can cause diabetes mellitus are irregular eating patterns and unhealthy lifestyles. Patients with diabetes mellitus must have a healthy diet by identifying the optimal food composition so as not to trigger complications with various other deadly diseases. Identification of food composition was carried out using a hybrid adaptive genetic algorithm and modified simulated annealing. Based on the patient testing results, the average accuracy for carbohydrates, protein, fat, sodium, fiber, and calories was 99.90%, 99.72%, 99.33%, 99.99%, 99.29%, and 99.86%, respectively.
Co-Authors Anisa Nur Rosidha Ilham Saputra Lutfi Mardianto