Journals Information
Universal Journal of Public Health Vol. 13(2), pp. 487 - 495
DOI: 10.13189/ujph.2025.130220
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The Effectiveness of an Android-Based Application for Stunting Risk Detection in Children under Five in Urban and Rural in West Java Province, Indonesia
Tria Astika Endah Permatasari 1,*, Yudi Chadirin 2, Ernirita Ernirita 3, Munaya Fauziah 4
1 Department of Nutrition, Faculty of Medicine and Health, Universitas Muhammadiyah Jakarta, Indonesia
2 Department of Civil and Environmental Engineering, IPB University, Indonesia
3 Department of Nursing Science, Faculty of Nursing, Universitas Muhammadiyah Jakarta, Indonesia
4 Department of Public Health, Faculty of Public Health, Universitas Muhammadiyah Jakarta, Indonesia
ABSTRACT
The decline in stunting prevalence in Indonesia in the last three years has not met the target of 14% in 2024. In fact, the stunting prevalence in the current year is 21.5%. Early detection of stunting risk is needed by optimizing the use of digital technology to identify and prevent stunting quickly and accurately. The purpose of this study was to analyze the effectiveness of an Android-based application for stunting risk detection in children under five in urban and rural areas in West Java Province, Indonesia. A cross-sectional study was conducted during April-September 2024 on 384 mother-child pairs living in urban (Bogor City) and rural (Bogor Regency) areas in West Java Province, Indonesia, namely 192 mother-child pairs each was selected using a proportional random sampling technique. The android application was used to identify the risk of stunting based on indicators of mother-toddler characteristics, nutrition, and sanitation. The accuracy of the stunting risk detection using an Android-based application shows that the Area Under Curve (AUC) was used which was analyzed using the Receiver Operating Characteristics (ROC) Curve method. Of the 384 children involved in this study based on anthropometric measurements, the stunting rate is still high and not yet according to the target of 14%, where there are about one third of stunting children, which is 30.4%. From this figure, there are 28.6% of stunting children in urban and 32.3% in rural. This application has high accuracy for detecting stunting risk in both urban and rural areas, namely with sensitivity, specificity, and Area Under Curve (AUC) for each region of 92.4%, 89.6%, 90.1%, and, 89.8%, 87.7%, 89.9%, respectively. Android-based application is effective in detecting the risk of stunting with a higher level of accuracy in urban areas than in rural areas. The use of applications needs to be integrated with health services to facilitate prevention and handling of stunting quickly and accurately.
KEYWORDS
Android-Based Application, Children under Five, Nutrition, Sanitation, Stunting Risk Detection
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Tria Astika Endah Permatasari , Yudi Chadirin , Ernirita Ernirita , Munaya Fauziah , "The Effectiveness of an Android-Based Application for Stunting Risk Detection in Children under Five in Urban and Rural in West Java Province, Indonesia," Universal Journal of Public Health, Vol. 13, No. 2, pp. 487 - 495, 2025. DOI: 10.13189/ujph.2025.130220.
(b). APA Format:
Tria Astika Endah Permatasari , Yudi Chadirin , Ernirita Ernirita , Munaya Fauziah (2025). The Effectiveness of an Android-Based Application for Stunting Risk Detection in Children under Five in Urban and Rural in West Java Province, Indonesia. Universal Journal of Public Health, 13(2), 487 - 495. DOI: 10.13189/ujph.2025.130220.