PENYULUHAN SKRINING GIZI DASAR SECARA MANDIRI BERBASIS KECERDASAN BUATAN MACHINE LEARNING  PADA SISWA SMA

Imam Syafii; Alfan Ridha; Vioresta Steffiandry; Rafli Yunan Suryatama

doi:10.36257/apts.v6i2.6826

Penulis

Imam Syafii ITSK Sugeng Hartono
Alfan Ridha Institut Teknologi Sains dan Kesehatan Sugeng Hartono
Vioresta Steffiandry Institut Teknologi Sains dan Kesehatan Sugeng Hartono
Rafli Yunan Suryatama Institut Teknologi Sains dan Kesehatan Sugeng Hartono

DOI:

https://doi.org/10.36257/apts.v6i2.6826

Kata Kunci:

Gizi, Skrining Gizi, Kecerdasan Buatan, Machine Learning, nutritional, screening nutritional, artificial intelligent, machine learning

Abstrak

Nutritional status is an indicator of success in meeting nutritional needs, especially shown in achieving weight according to age. Good nutritional status if the nutritional intake is in accordance with the needs of the body. Lack of nutrient intake in food can cause malnutrition, while excess nutrient intake will result in over nutrition. Lack of knowledge of Widya Wacana Christian High School students related to knowledge regarding the importance of applied nutrition such as patterns and nutritional intake in food, sanitation and hygiene, and complementary foods for breastfeeding impact on body growth and development. Providing nutritional status analysis can involve technology in the form of artificial intelligence. Data processing related to cases that have occurred before in technology using machine learning. Application of technology in providing web-based nutritional status screening analysis. The application of web-based system technology used by Widya Wacana Christian High School can have an effect on students in the form of providing quick and accurate analysis and can provide suggestions to reduce the impact on the occurrence of illness and death related to nutritional

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