Growth Monitoring System Using Infant Length to Determine Nutritional Status in Children Aged 0-12 Months.
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This research addresses the pressing issue of monitoring the growth and nutritional status of infants aged 0-12
months, a critical period for health and development. Inadequate growth monitoring can lead to undetected nutritional
deficiencies and long-term health consequences. To tackle this problem, the study developed an innovative Growth Monitoring
System that utilizes length, weight, and head circumference as key indicators of nutritional status. The system integrates
advanced technology, including an ESP-32 microcontroller, load cell sensors for weight measurement, ultrasonic sensors for
height measurement, and infrared sensors for head circumference measurement. The methodology involved collecting data
from 30 respondents, where the system automatically recorded measurements and generated growth curves displayed on a
web-based platform. The accuracy of the measurements was evaluated, revealing significant variability in error rates.
Specifically, the highest error in head circumference measurement was recorded at 25.38%, while the weight measurement
exhibited a lower error rate of -20.47%. These results highlight the challenges in achieving precise measurements but also
demonstrate the system's capability to provide essential data for assessing infant growth. In conclusion, the developed Growth
Monitoring System represents a significant advancement in child health monitoring, offering a reliable and efficient method
for tracking the growth of infants. Despite the observed measurement errors, the system's automated data collection and
analysis capabilities provide valuable insights into nutritional status. The research emphasizes the potential for broader
implementation of such systems in pediatric clinics and national health programs, ultimately contributing to improved health
outcomes for infants. By enhancing the accuracy and accessibility of growth monitoring, this research paves the way for more
effective interventions in early childhood nutrition and health.
Copyright (c) 2024 Churie Nurhaeni Yulia Ningrum, Endro Yulianto, Triana Rahmawati
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