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SobatGizi App for Suggesting Adequate Meal Portions

  • Hurriyatul Fitriyah
  • , Niken Fitria Apriani
  • , Slamet Riyanto
  • , Chandra Wijaya
  • , Lestari Octavia
  • , Fitrianingsih
  • , Al Hafiz Akbar Maulana Siagian
  • , Siti Kania Kania Kushadiani
  • , Shidiq Al Hakim
  • , Devi Ayu Lestari
  • , Konstan Damai Telaumbanua
  • , Muhammad Arya Nurarif

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Consuming adequate daily meal portions is crucial to maintain appropriate nutrition and keep healthy. Such optimal consumption varies depending on an individuals gender, age, physical condition, and activity. However, it might be difficult for everyone to know their daily sufficient meal portions when consuming food. For this reason, it is useful to have something that can inform nutritional needs and suggest appropriate meals accordingly. This study develops an app, namely SobatGizi, to help users identify their nutritional necessities. This SobatGizi also includes meal recommendations based on the identified nutritional needs. To do that, the SobatGizi utilizes information on height, weight, age, gender, and activity to calculate Body Mass Index (BMI) and estimate nutritional requirements. Meanwhile, Weighted Sum Model (WSM) is employed by the SobatGizi to provide meal recommendations. At first, users are requested to input their height, weight, age, gender, and activity. Then, their calculated BMI and estimated nutritional needs are displayed on SobatGizi. Note that SobatGizi allows its users to customize the level of their nutrition preferences before displaying the recommended meal menus. This option is to accommodate users' special conditions such as diet, pregnancy, or fatigue. In the end, the top five meal menus with the highest WSM scores are suggested to SobatGizis users.

Original languageEnglish
Title of host publicationSIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
PublisherAssociation for Computing Machinery
Pages498-505
Number of pages8
ISBN (Electronic)9798400708503
DOIs
Publication statusPublished - 24 Oct 2023
Event8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 - Bali, Indonesia
Duration: 24 Oct 202325 Oct 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Sustainable Information Engineering and Technology, SIET 2023
Country/TerritoryIndonesia
CityBali
Period24/10/2325/10/23

Keywords

  • diet
  • meal
  • mobile application
  • nutrition
  • portion
  • weighted sum model

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