Open AccessImplementation of simplex algorithm to optimize toddler’s balanced nutrition needs with minimum costs
Author(s) -
Qurrota A'yuni Ar Ruhimat,
R J Riftana,
Tio Dharmawan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1539/1/012038
Subject(s) - malnutrition , computer science , quality (philosophy) , toddler , risk analysis (engineering) , algorithm , medicine , psychology , philosophy , epistemology , pathology , developmental psychology
Nutrition is an important element needed by humans, including toddlers. The unfulfilled nutritional needs can cause several diseases, such as malnutrition and stunting. It was caused because of human inability to fullfill the nutrition needs of all family members with good quality and the lack of parental knowledge about nutritious food ingredients and how to feed properly. It is necessary to optimize the fulfillment of food nutrition for infants with a minimum cost. One of the efforts is to make the right combination of food ingredients with cost minimum so that it can be reached by all levels of society. This research was analyzed using Simplex algorithm with QM for Windows software . The results was obtained in the form of the amount of food that can be consumed by user to fullfill the nutritional intake needs along with the minimum cost.