Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021)

Arduino and Android-Based Anthropometric Detection Tools for Indonesian Children

Authors
Efri Tri Ardianto1, *, Alinea Dwi Elisanti2, Husin Husin3
1Health Information Manajemen Study Program, Health Departement, Politeknik Negeri Jember, Indonesia
2Clinical Nutrition Study Program, Health Departement, Politeknik Negeri Jember, Indonesia
3Informatics Manajemen Study Program, Information Technology Departement, Politeknik Negeri Jember, Indonesia
*Corresponding author. Email: efritriardianto@polije.ac.id
Corresponding Author
Efri Tri Ardianto
Available Online 17 February 2022.
DOI
https://doi.org/10.2991/assehr.k.220207.043How to use a DOI?
Keywords
Anthropometry; Arduino; Android; Children’s; Stunted; Underweight; Wasted
Abstract

Current anthropometric measurements at Community Health Centers (CHC) by cadres and health workers in Indonesia are not completely accurate. This inaccuracy is influenced by errors when measuring, determining the age, the accuracy of cadres, and non-standard anthropometric measuring instruments. For this reason, it is necessary to design a more practical anthropometric detection tool of children’s nutritional status for health practitioners and cadres, reducing the risk of mal diagnostic due to human error. It is very important to help the CHC for examination anthropometric measuring. The development life cycle system (DLCS) method, which includes planning, analysis, design, implementation, testing, and management applied to system design. This instrument was expected to be a standard solution for measuring the nutrition status of Indonesian children that was still conducted manually and separately. The design began with the identification of the child’s weight and height, calibration and analysis of the function of the sensor, then the design process of the measuring instrument. At the trial stage, the data were displayed on the LCD. This series of activities used the Arduino nano R3, then data were sent to Bluetooth, and forwarded to the Android system. This study produced a detection system for children’s nutritional status using body length/ age, weight/height, and bodyweight/age parameters. This android system produced nutritional status categories, namely normal, stunted, wasted, and underweight.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 February 2022
ISBN
978-94-6239-539-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.220207.043How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Efri Tri Ardianto
AU  - Alinea Dwi Elisanti
AU  - Husin Husin
PY  - 2022
DA  - 2022/02/17
TI  - Arduino and Android-Based Anthropometric Detection Tools for Indonesian Children
BT  - Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021)
PB  - Atlantis Press
SP  - 254
EP  - 259
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220207.043
DO  - https://doi.org/10.2991/assehr.k.220207.043
ID  - Ardianto2022
ER  -