<![CDATA[Around 70% of parents in the Mojo district are still not familiar with foods that contain optimal nutrition for children. Nutrition that is not optimal will cause disease in children and make growth and development not perfect. In Kediri Regency itself, many children are overweight or often referred to as obese. The obesity rate in Kediri Regency reaches 80%. The problem of optimizing the nutrition of foodstuffs can be solved by an optimization algorithm, namely the Genetic Algorithm. A Genetic Algorithm is an algorithm that uses the basis of natural selection and evolution from biology and can combine sequences of structures with information in a random way. In this study, to determine the representation of the solution generated from the genetic algorithm, testing was carried out on the effect of the parameter values. Optimal parameter results, namely the generation of 1200, the value of Crossover Extended Intermediate of 0.5, the value of Reciprocal Exchange Mutation 0.9, and Popsize 60 by using the optimal parameters, the optimal category of food ingredients will be known, the price according to weight, and recommended nutrition for the patient. From the results of using optimal parameter testing, we get a package of food ingredients that match the need, differences, and price, in the test the difference in content between food ingredients and nutritional need is 6,1 % for Rp. 37.722,00 for patients with male gender and 5,4% for patients with female gender for Rp. 32.040,00.]]>
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