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Development of a Portable  Ultrasonic Digital Anthropometry System with  Automated CIAF Classification SISWATI, TRI; Rialihanto, Muhammad Primiaji; Paramashanti, Bunga Astria; Ardiyanto, Farit; Attawet, Jutharat
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 8 No. 1 (2026): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v8i1.299

Abstract

Child malnutrition, particularly stunting, remains a critical public health issue with long-term effects on growth and cognitive development. In many community health settings, conventional anthropometric measurement tools used in community health services often present challenges, including human measurement error, non-standard data recording, and a lack of real-time diagnostic output. This study aims to develop and validate a portable ultrasonic sensor-based digital anthropometric system capable of automatically detecting the Composite Index of Anthropometric Failure (CIAF) in real-time. The novelty of this research lies in integrating non-contact ultrasonic height measurement with automated CIAF classification based on WHO 2006 growth standards, cloud-connected data storage, and a user-friendly interface designed for community health workers. This Research and Development study involved system design, laboratory calibration, field validation, and user acceptability testing. A total of 80 toddlers and 30 users (midwives, nutritionists, and Posyandu cadres) participated across regions with low and high stunting prevalence. Measurement accuracy was compared to gold-standard anthropometry, while usability was assessed through a Likert-scale evaluation. Laboratory tests indicated measurement error ranging from 0.0 to 0.2 cm, indicating high sensor precision. Field tests showed a mean difference of ≤1 cm with no statistically significant difference (p>0.05) compared to standard measurement. User evaluation reported high satisfaction, particularly in ease of use (92%), accuracy (90%), and program support benefit (94%). The developed portable ultrasonic digital anthropometry system provides accurate, fast, and standardized CIAF-based malnutrition detection, supporting more efficient child growth monitoring programs. The tool demonstrates strong potential for integration into community-based nutrition surveillance and national health information systems.
Enhancing Adolescent Nutrition Knowledge Through Digital Innovation: Evaluating the Effectiveness of E-Pocket Books in Reducing Obesity Puput Tri Hastuti; Siti Budi Utami; Muhammad Primiaji Rialihanto; Joko Susilo; Jutharat Attawet; Tri Siswati
Health Dynamics Vol 2, No 8 (2025): August 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20803

Abstract

Background: Balanced nutrition education is an essential effort in preventing obesity, especially in adolescents who are vulnerable to nutritional problems due to unhealthy diets and a lack of knowledge. This study aims to determine the effectiveness of Android-based e-pocket books in improving the understanding of balanced nutrition among adolescents in Yogyakarta. Methods: This study employed an experimental design with control groups, utilizing pre-tests and post-tests. Conducted from February to March 2023 in a high school in Yogyakarta, Indonesia, the research established a minimum sample size of 27 students per group through the Lemeshow formula and multistage sampling. Inclusion criteria required students to have Android phones, to consent to participate, to attend the study, and to complete data collection. The treatment group received education via e-pocket-book media, while the control group used e-leaflets. Knowledge was measured at three points: before the intervention, immediately after (post-test 1), and nine days later (post-test 2). Data analysis was performed using the Wilcoxon and Mann-Whitney tests with SPSS software. Results: The knowledge score of the treatment group increased from 76.3 (pre-test) to 93.8 (post-test 1) and 91.3 (post-test 2). The control group increased from 73.8 (pre-test) to 82.5 (post-test 1) and 81.3 (post-test 2). The increase in knowledge was more significant in the treatment group, showing that e-pocket-books were more effective than e-leaflets. Conclusion: Android-based e-pocket-books improve adolescents' knowledge of balanced nutrition more than e-leaflets. Digital technology in nutrition education has great potential to be applied in schools. Further research is needed to evaluate the long-term impact on nutritional behavior.