PENYULUHAN SKRINING GIZI DASAR SECARA MANDIRI BERBASIS KECERDASAN BUATAN MACHINE LEARNING PADA SISWA SMA
DOI:
https://doi.org/10.36257/apts.v6i2.6826Kata Kunci:
Gizi, Skrining Gizi, Kecerdasan Buatan, Machine Learning, nutritional, screening nutritional, artificial intelligent, machine learningAbstrak
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 nutritionalReferensi
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