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All Journal Jurnal Keteknikan Pertanian
Bonang Waspadadi Ligar
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Agriculture, Biological Sciences & Forestry

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An Intelligent Food Recommendation System for Dine-in Customers with Non-Communicable Diseases History Harry Imantho; Kudang Boro Seminar; Evy Damayanthi; Nugraha Edhi Suyatma; Karlisa Priandana; Bonang Waspadadi Ligar; Annisa Utami Seminar
Jurnal Keteknikan Pertanian Vol. 12 No. 1 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.1.140-152

Abstract

The rising prevalence of diet-related diseases necessitates a focus on individual food selection to enhance nutrition intake and promote overall health. This study introduces a novel food recommender system utilizing artificial intelligence, specifically a genetic algorithm (GA), to intelligently match diverse nutritional needs with available food items. The research incorporates machine learning methodologies, such as collaborative and content-based filtering, to develop a recommendation model. Data from a commercial restaurant, Nutrisurvey, and the Indonesian food composition list inform the nutritional analysis of five menu items. Consumer variability, considering factors like sex, body mass index, medical conditions, and physical activity, are integrated into the GA framework for personalized food pattern matching. The presented results demonstrate the efficacy of the proposed model in offering tailored food recommendations for consumers with non-communicable diseases (NCDs), such as diabetes, hypertension, and heart disease. The multi-objective optimization technique employed in the system ensures a balance between nutritional adequacy and individual preferences. The presented GA-based approach holds promise for promoting healthier food choices tailored to individual needs, contributing to the broader goal of fostering a sustainable and personalized food system.
Co-Authors Annisa Utami Seminar Evy Damayanthi Harry Imantho Karlisa Priandana Kudang Boro Seminar Nugraha Edhi Suyatma