K-MEANS CLUSTERING ALGORITHM TO DETERMINE NUTRITIONAL VALUE OF TODDLER IN WEEKAROU PUBLIC HEALTH CENTER
DOI:
https://doi.org/10.59811/sandi.v5i2.79Keywords:
malnutrition, toddlers, status, nutrition, SPSS 23Abstract
Malnutrition is a health problem in children, babies and toddlers. Malnutrition has a long-term impact on the growth and development of toddlers, both physical development and mental development of toddlers. The nutritional status of toddlers can be determined based on the weight index for age, height for age and weight for height by entering data on the values of the toddler's weight, height and gender and also LILA. So the researchers wanted to determine the nutrition of toddlers at the Weekarou Community Health Center using the K-Means algorithm. In the clustering process, researchers used the SPSS 23 application to simplify the process of determining the nutritional value of toddlers quickly and easily.
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