NURPRASETYA, ANGGARA RHEZA (2026) IMPLEMENTASI RULE-BASED SYSTEM UNTUK EVALUASI KESEIMBANGAN GIZI HARIAN BERDASARKAN POLA MAKAN PENGGUNA. S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
The issue of nutritional imbalance caused by a fast-paced modern lifestyle and the consumption of low-fiber foods is a primary trigger for health disorders such as obesity, where the general public often struggles to independently monitor the quality of their macronutrient intake. This study aims to implement a Rule-Based System (RBS) method into the NutriTrack application to evaluate user daily nutritional balance automatically, transparently, and in a personalized manner. The variables studied include user anthropometric data—specifically age, gender, weight, height, and physical activity level—used to calculate Basal Metabolic Rate (BMR) and Total Daily Energy Expenditure (TDEE), as well as daily macronutrient intake variables consisting of carbohydrates, proteins, and fats. The research method employed is applied research with a quantitative approach, where the knowledge base is constructed referring to the revised Harris-Benedict formula and the Recommended Dietary Allowances (AKG) standards of the Indonesian Ministry of Health Regulation No. 28 of 2019. The sampling technique utilizes purposive sampling via questionnaires distributed to respondents to obtain real anthropometric and physical activity profile data for validating the inference logic. Data analysis is conducted using an RBS inference engine with If-Then logic that compares intake inputs against individual nutritional targets. The result of this research is a system prototype capable of providing specific evaluation statuses such as "Balanced," "Protein Deficit," or "Fat Surplus." The conclusion indicates that the Rule-Based System approach is effective in providing nutritional recommendations with logical. Keywords: Rule-Based System, NutriTrack Application, Daily Nutritional Evaluation, Harris-Benedict, Dietary Pattern. Permasalahan ketidakseimbangan gizi akibat gaya hidup modern yang serba cepat dan konsumsi makanan rendah serat menjadi pemicu utama gangguan kesehatan seperti obesitas, di mana masyarakat umum sering kesulitan memantau kualitas asupan makronutrien mereka secara mandiri. Penelitian ini bertujuan untuk mengimplementasikan metode Rule-Based System (RBS) ke dalam aplikasi NutriTrack guna mengevaluasi keseimbangan gizi harian pengguna secara otomatis, transparan, dan terpersonalisasi. Variabel yang diteliti mencakup data antropometri pengguna (usia, jenis kelamin, berat badan, tinggi badan, dan tingkat aktivitas fisik) untuk perhitungan Basal Metabolic Rate (BMR) dan Total Daily Energy Expenditure (TDEE), serta variabel asupan makronutrien harian (karbohidrat, protein, dan lemak). Metode penelitian yang digunakan adalah penelitian terapan (applied research) dengan pendekatan kuantitatif, di mana basis pengetahuan (knowledge base) dibangun mengacu pada rumus Harris-Benedict revisi dan standar Angka Kecukupan Gizi (AKG) Permenkes RI No. 28 Tahun 2019. Teknik pengambilan sampel dilakukan dengan metode purposive sampling melalui penyebaran kuesioner kepada responden untuk mendapatkan variasi data profil antropometri dan aktivitas fisik nyata guna menguji validitas logika inferensi. Analisis data dilakukan menggunakan mesin inferensi RBS dengan logika If-Then yang membandingkan input asupan terhadap target kebutuhan gizi individu. Hasil penelitian ini berupa prototipe sistem yang mampu memberikan status evaluasi spesifik seperti "Seimbang", "Defisit Protein", atau "Surplus Lemak". Kata Kunci : Rule-Based System, Aplikasi NutriTrack, Evaluasi Gizi Harian, Harris-Benedict, Pola Makan.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41822010043 |
| Uncontrolled Keywords: | Rule-Based System, Aplikasi NutriTrack, Evaluasi Gizi Harian, Harris-Benedict, Pola Makan. |
| Subjects: | 600 Technology/Teknologi > 610 Medical, Medicine, and Health Sciences/Ilmu Kedokteran, Ilmu Pengobatan dan Ilmu Kesehatan > 612 Human Physiology/Fisiologi Manusia, Ilmu Faal, Anatomi dan Fisiologi Manusia > 612.3 Nutrition/Nutrisi, Ilmu Gizi 600 Technology/Teknologi > 640 Home Economic and Family Living Management/Kesejahteraan Rumah Tangga dan Manajemen Kehidupan Keluarga > 641 Food and Drink/Makanan dan Minuman > 641.3 Food/Makanan |
| Divisions: | Fakultas Ilmu Komputer > Sistem Informasi |
| Depositing User: | khalimah |
| Date Deposited: | 11 Sep 2026 09:58 |
| Last Modified: | 11 Sep 2026 09:58 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/103801 |
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