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