Analysis Screening Information System and Stunting Early Detection
- DOI
- 10.2991/assehr.k.220207.050How to use a DOI?
- Keywords
- Website; Stunting; Screening; Early Detection
- Abstract
Stunting is a growth failure in children under five, characterized by height for age less than -2 standard deviations. According to Basic Health Research (RISKESDAS) in 2018 Indonesia is one of the countries with a very high incidence of stunting, namely 30.8%. This problem is a system for reporting and tracking stunting children under five is still using manuals, Integrated Service Post cadres after taking height measurements and then entering them into records and reporting them periodically every month, health workers who will recap the results. The research aimed to develop and evaluate features of screening and early detection of stunting in Kick stunting websites that can be applied to primary health care. This type of research is Research and Development ADDIE model. After the implementation step, the evaluation will be continued by asking for expert opinions regarding the Kick stunting website. Validation is done by media experts and material experts given questionnaires. Descriptive statistics did data analysis. Based on the need analysis, there were 6 functions needed in developing this kickstunting website. The evaluation result kickstunting website is acceptable, as a simple, practical app with well-arranged app structure, good display, and easy to use. and ready used by nutritionists, Integrated Service Post cadres, and toddler mothers.
- 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 - Muhammad Rizal Permadi AU - Muhammad Iqbal AU - Huda Oktafa PY - 2022 DA - 2022/02/17 TI - Analysis Screening Information System and Stunting Early Detection BT - Proceedings of the 2nd International Conference on Social Science, Humanity and Public Health (ICOSHIP 2021) PB - Atlantis Press SP - 287 EP - 290 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.220207.050 DO - 10.2991/assehr.k.220207.050 ID - Permadi2022 ER -