Sa'adah Wardatus Primary Author mixed material bibliography Bandung Maranatha University Press 2022 Indonesia

Artikel Jurnal

hlm : 235-245 Abstract Indonesia has a bad situation in stunting. Stunting is a problem because of the consumption of less nutrition. This is caused by giving food that is not in accordance with the nutritional needs of infants. Infants 0 until 24 months old need attention in choosing a weaning food to support the baby’s growth. The purpose of this research is to find an optimized way to improve the menu of weaning food with the genetic algorithm method. It is expected to be able to reduce stunting suffering in Indonesia. The process of the genetic algorithm method uses the fitness function of a baby’s daily nutritional needs. The selection is Roulette wheel selection method, the crossover is whole arithmetic crossover with 0.5 crossover rate, and the last is the mutation process with 0.6 mutation rate. The research used 100 generations and the result is menus for breakfast, lunch, and dinner for 6 days. The genetic algorithm can determine optimal weaning food’s menu. Informatika Sistem Informasi JUTISI 24432210 Perpustakaan Teknik UPI YAI JUTISI V8N1 April 2022 JUTISI7a-019 Perpustakaan FT UPI YAI JUTISI V8N1 April 2022 JUTISI7b-019 Perpustakaan FT UPI YAI JUTISI V8N1 April 2022 cover_issue_174_en_US.png.png 59314 2023-03-01 10:23:42 2023-03-01 10:23:42 machine generated