Megatama, Muhammad Ardhian (2021) Rekomendasi Menu Makanan Berdasarkan Angka Kecukupan Gizi Harian Menggunakan Algoritma Genetika. Sarjana thesis, Universitas Brawijaya.
Abstract
Makanan termasuk salah satu kebutuhan pokok manusia yang harus dipenuhi. Selain sebagai sumber energi, zat gizi pada makanan juga diperlukan oleh organ tubuh manusia agar dapat berfungsi dengan baik. Makanan dengan gizi seimbang terdapat 5 komponen utama yaitu karbohidrat, protein, lemak, vitamin, dan mineral. Asupan gizi seimbang memiliki peran penting dalam hal pertumbuhan, kecerdasan, dan perkembangan fisik seseorang. Namun, saat ini masih sering dijumpai permasalahan gizi yang tidak seimbang seperti gizi lebih atau gizi kurang. Banyak faktor yang dapat mempengaruhi hal tersebut, salah satunya adalah pola makanan yang tidak seimbang. Salah satu solusi yang dapat dilakukan adalah sistem optimasi kebutuhan gizi. Pada penelitian ini, metode yang digunakan untuk melakukan optimasi adalah algoritma genetika. Algoritma genetika termasuk salah satu metode metaheuristic yang sering digunakan untuk permasalahan optimasi. Dengan menggunakan algoritma genetika sistem mampu memberikan hasil rekomendasi makanan dengan gizi mendekati angka kebutuhan gizi seseorang. Dari hasil pengujian yang dilakukan, selisih gizi hasil rekomendasi makanan dengan kebutuhan gizi di bawah 5%.
English Abstract
Food is one of the basic human needs that must be fulfilled. Apart from being a source of energy, nutrients in food are also needed by human organs to function properly. Foods with balanced nutrients have 5 main components, namely carbohydrates, proteins, fats, vitamins, and minerals. Balanced nutritional intake has an important role in a person's growth, intelligence, and physical development. Food is one of the basic human needs that must be fulfilled. Apart from being a source of energy, nutrients in food are also needed by human organs to function properly. Foods with balanced nutrients have 5 main components, namely carbohydrates, proteins, fats, vitamins, and minerals. Balanced nutritional intake has an important role in a person's growth, intelligence, and physical development. However, nowadays there are still often unbalanced nutritional problems such as overnutrition or malnutrition. Many factors can affect it, one of which is an unbalanced diet. One solution that can be done is a system for optimizing nutritional needs. In this study, the method used for optimization is genetic algorithms. Genetic algorithms are one of the metaheuristic methods that are often used for optimization problems. By using a genetic algorithm, the system can provide food recommendations with nutrients close to a person's nutritional needs. Based on the test results obtained, the difference in nutrition from food recommendations with nutritional needs is below 5%
Other obstract
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| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | 052115 |
| Uncontrolled Keywords: | gizi, makanan, optimasi, metaheuristic, algoritma genetika, : nutrition, food, optimization, metaheuristic, genetic algorithm |
| Subjects: | 000 Computer science, information and general works > 004 Computer science |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Unnamed user with username santoso |
| Date Deposited: | 21 Oct 2021 07:14 |
| Last Modified: | 24 Sep 2024 04:08 |
| URI: | http://repository.ub.ac.id/id/eprint/184675 |
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