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

Leni Istikomah; Imam Cholissodin

doi:10.1109/SIET.2017.8304112

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

Leni Istikomah
, Imam Cholissodin
, Marji

Faculty of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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%.

Original language	English
Title of host publication	Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	74-77
Number of pages	4
ISBN (Electronic)	9781538621820
DOIs	https://doi.org/10.1109/SIET.2017.8304112
Publication status	Published - 2 Jul 2017
Event	2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 - Batu City, Indonesia Duration: 24 Nov 2017 → 25 Nov 2017

Publication series

Name	Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Volume	2018-January

Conference

Conference	2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Country/Territory	Indonesia
City	Batu City
Period	24/11/17 → 25/11/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

food
nutrition
optimization
particle swarm optimization
toddlers

Access to Document

10.1109/SIET.2017.8304112

Cite this

Istikomah, L., Cholissodin, I., & Marji (2017). Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting. In Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 (pp. 74-77). (Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIET.2017.8304112

Istikomah, Leni ; Cholissodin, Imam ; Marji. / Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting. Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 74-77 (Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017).

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title = "Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting",

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\%.",

keywords = "food, nutrition, optimization, particle swarm optimization, toddlers",

author = "Leni Istikomah and Imam Cholissodin and Marji",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 ; Conference date: 24-11-2017 Through 25-11-2017",

year = "2017",

month = jul,

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language = "English",

series = "Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017",

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Istikomah, L, Cholissodin, I & Marji 2017, Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting. in Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017. Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 74-77, 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017, Batu City, Indonesia, 24/11/17. https://doi.org/10.1109/SIET.2017.8304112

Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting. / Istikomah, Leni; Cholissodin, Imam ; Marji.
Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 74-77 (Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Marji,

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N2 - 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%.

AB - 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%.

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KW - optimization

KW - particle swarm optimization

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M3 - Conference contribution

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T3 - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017

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BT - Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Istikomah L, Cholissodin I , Marji. Optimization of fulfillment nutritional needs of toddlers using PSO algorithm with flexible budgeting. In Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 74-77. (Proceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017). doi: 10.1109/SIET.2017.8304112

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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