Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting

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Leni Istikomah, Imam Cholissodin, Marji

2017 Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 Vol. 2018-January Conference paper Cited by 1 Quartile

Abstract

In the fulfillment of nutrients, one type of food alone is not enough so it requires a variety food ingredients that contain all the elements of nutrients. In this research give recommendation variation foodstuff automatically by using optimization process of Particle Swarm Optimization algorithm so that it can facilitate Posyandu and parents in providing daily food according to the nutritional needs of a toddler with economic conditions each parent. Based on the resulting in system accuracy up to 84.2% The expenditure of parents of children under five is 37.8%. © 2017 IEEE.

Affiliations

Department of Computer Science, Faculty of Computer Science, Brawijaya University, Malang, Indonesia