Sistem Pakar Pemilihan Menu Diet Sesuai Kondisi Kesehatan Pasien

Expert Systems, a branch of artificial intelligence, are designed to replicate decision-making capabilities of human experts. This study focuses on developing an Expert System for Diet Menu Selection Based on Health Conditions. The system aims to assist users in planning nutritious and balanced diets tailored to individual health profiles, thereby enhancing health management through clear and practical guidelines. The Forward Chaining inference method is employed to derive conclusions from known health data, while the Agile development methodology supports iterative progress, adaptability to changes, and active stakeholder involvement to ensure optimal functionality. Given the rising public awareness of healthy living, this system presents a practical and innovative alternative for individuals seeking to manage their dietary habits effectively—without the need for constant consultations with nutritionists.

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Publication Details

Journal
MASALIQ
Published
2025-04-19
DOI
https://doi.org/10.58578/masaliq.v5i3.5439
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
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article

Sistem Pakar Pemilihan Menu Diet Sesuai Kondisi Kesehatan Pasien

Agus Aan Jiwa Permana, Ni Putu Ari Kusumadewi, Gusti Putu Ayu Mas Meita Pradnya Swari, Kadek Prasta Yudhantara et al.
MASALIQ
Decision Support System Applications
article

Sistem Pakar Pemilihan Menu Diet Sesuai Kondisi Kesehatan Pasien

Agus Aan Jiwa Permana, Ni Putu Ari Kusumadewi, Gusti Putu Ayu Mas Meita Pradnya Swari, Kadek Prasta Yudhantara, Komang Adi Satya Mahagangga, I Komang Windra Artha
article en

Abstract

Expert Systems, a branch of artificial intelligence, are designed to replicate decision-making capabilities of human experts. This study focuses on developing an Expert System for Diet Menu Selection Based on Health Conditions. The system aims to assist users in planning nutritious and balanced diets tailored to individual health profiles, thereby enhancing health management through clear and practical guidelines. The Forward Chaining inference method is employed to derive conclusions from known health data, while the Agile development methodology supports iterative progress, adaptability to changes, and active stakeholder involvement to ensure optimal functionality. Given the rising public awareness of healthy living, this system presents a practical and innovative alternative for individuals seeking to manage their dietary habits effectively—without the need for constant consultations with nutritionists.

MASALIQVol. 5(3)
Universitas Pendidikan Ganesha (ID)
Openalex Percentile: Top 88%
Decision Support System Applications
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Sistem Pakar Pemilihan Menu Diet Sesuai Kondisi Kesehatan Pasien — Agus Aan Jiwa Permana, Ni Putu Ari Kusumadewi, et al. · MASALIQ (2025) | TGRS Research Map | TGRS