A Proposed Algorithm Based on Artificial Intelligence to Optimize the Ratio of Food Combinations on a Meal Plate

DOI

10.2991/978-94-6463-186-9_14How to use a DOI?

Keywords

Algorithm; Artificial Intelligence; Food Combinations Ratio; Meal Plate

Abstract

Background. The Pedoman Gizi Seimbang (Balance Nutrition Guideline, PGS) program was already mandated by the Indonesian Health Ministry as a national daily intake recommendation. The government uses the Isi Piringku (My Plate, IP) program to improve the program further. However, the food combination ratio was chosen arbitrarily by the government. Objective. Our proposed approaches to using artificial intelligence to calculate a balanced food ratio are outlined in this article. Designs. This is developmental and experimental research. Data Source. We have used the 2017 edition of Tabel Komposisi Pangan Indonesia (Indonesia Food Composition Table, TKPI) for reference data. Methods. A straightforward proof of concept for our methods has been created. As our training objective, we have chosen to adhere to the national daily intake recommendation. The input data are rearranged into five groups according to my plate program from the TKPI. The daily meal training data were then created by combining the two data. To determine the ideal food-to-drink ratio, we must infer from the training data. Results. Using meals derived using the conventional method, we have compared nutrition values and created a sample set meal ratio using our tools. In total, 21 macronutrients and micronutrients are evaluated. Conclusions. The creation of mobile-based tools for simple food ratio implementation would be part of the plan. In addition, the researchers ought to think about carrying out an experimental trial to contrast the efficacy of this strategy with that of conventional strategies in community settings.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Renan Prasta Jenie
AU  - Bayu Prastowo
AU  - Ichsan Hardyanto
AU  - Ade Kurniawan
AU  - Johan Iskandar
AU  - Muhammad Dahrul
PY  - 2023
DA  - 2023/06/14
TI  - A Proposed Algorithm Based on Artificial Intelligence to Optimize the Ratio of Food Combinations on a Meal Plate
BT  - Proceedings of the 1st World Conference on Health and Social Science (WCHSS 2022)
PB  - Atlantis Press
SP  - 110
EP  - 118
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-186-9_14
DO  - 10.2991/978-94-6463-186-9_14
ID  - Jenie2023
ER  -