The Accuracy Data of the Toddlers' Nutritional Status using the "PSG Balita" App

Abstract

OBJECTIVE: This study aimed to determine the impact of the "PSG Balita" app on reporting toddlers' nutritional status. METHODOLOGY: A quasi-experimental design study was conducted in 2022 in Aceh Province, Indonesia. The sample consisted of 123 health centre nutritionists responsible for monitoring the nutritional status of children under five years, selected through purposive sampling. Data were collected through interviews and observations using a questionnaire assessing timeliness, completeness, accuracy, and usefulness. The intervention involved a six-month training program using the "PSG Balita" application on the Android platform. Data analysis was performed using the Repeated Measures ANOVA test at a 95% confidence interval. RESULTS: After implementing the application for six months, there was a significant increase (p < 0.05) in the timeliness, completeness, accuracy, and usefulness of nutritional status data for toddlers. These results demonstrate that the "PSG Balita" application supports generating high-quality data on toddlers' nutritional status and enhances nutrition data reporting. CONCLUSION: Utilizing the "PSG Balita" app has streamlined children's nutritional status tracking, ensuring high precision and early detection of malnutrition risks. Most importantly, it has improved the quality of nutritional status data.