Open AccessApplication of online presence and recommendations of students that have a low value using the multi-objective optimization method on the base of ratio analysis
Author(s) -
Excel Tanwijaya,
Dali Santun Naga,
Viny Christanti
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1007/1/012147
Subject(s) - genetic algorithm , chromosome , value (mathematics) , computer science , disease , mathematical optimization , mathematics , machine learning , medicine , biology , genetics , gene
As the age of a person makes it easily infected with a disease such as diabetes. In this case, food from a person with a disease must eat food that corresponds to the nutrients needed to reduce the sufferer’s blood sugar levels. Based on the problem, there is a combination of food system to help diabetics in arranging meals according to the sufferers criteria. This system requires criteria for the manufacture of food combinations and using the genetic algorithm method to produce the best alternative of food combinations for diabetics. The result of a combination of food is taken based on chromosome efficiency of genetic algorithm. Accuracy calculation method of genetic algorithm reaches 100% by comparison with manual calculations of the 5 test cases that have been made. From these results can be concluded that the application of the genetic algorithm method is sufficient to help diabetics in the manufacture of food combinations that match the criteria of the sufferer.