Development of Malnutrition Early Detection Application in Toddlers based on Geographic Information System
- DOI
- 10.2991/assehr.k.220207.028How to use a DOI?
- Keywords
- Malnutrition detection application; Toddlers; Geographic information system
- Abstract
The decrease in the percentage of children under five who experience stunting in Indonesia did not meet the minimum standards set by the World Health Organization. Jember Regency had a proportion value of concise nutritional status (malnutrition) which was still higher than the average value of other regencies in East Java Province. The technology proposed in this study is developing technology in geographic information systems to detect malnutrition in toddlers. The design sprint and scrum methods were used as the method of software development. The detection of malnutrition was known by calculating the z-score values of the toddler’s weight and height. The implementation results were evaluated using two test methods, namely Blackbox Testing and User Acceptance Testing (UAT). The result of this study is a system that can visualize stunting cases that occur in the form of geographic maps. At the same time, the evaluation results of this system obtained a value of 4.47 based on aspects or criteria related to the users of this application. The implementation of a method in the classification of stunting data can be considered as future system development.
- 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 - Dony Setiawan Hendyca Putra AU - I Gede Wiryawan AU - Estin Roso Pristiwaningsih AU - Ely Mulyadi AU - Prawidya Destarianto AU - Khafidurrohman Agustianto PY - 2022 DA - 2022/02/17 TI - Development of Malnutrition Early Detection Application in Toddlers based on Geographic Information System BT - Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021) PB - Atlantis Press SP - 175 EP - 181 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220207.028 DO - 10.2991/assehr.k.220207.028 ID - Putra2022 ER -