Ideal Baby Height And Weight Monitoring Design

Authors

  • Bagus Setiawan Univeristas Bina Darma,Sains Teknologi,Teknik Elektro, Jendral A Yani No. 3 Plaju, 30264 Palembang http://orcid.org/0000-0002-1825-0097
  • Tamsir Ariyadi Univeristas Bina Darma,Sains Teknologi,Teknik Elektro, Jendral A Yani No. 3 Plaju, 30264 Palembang Indonesia
  • Endah Fitriani Univeristas Bina Darma,Sains Teknologi,Teknik Elektro, Jendral A Yani No. 3 Plaju, 30264 Palembang Indonesia
  • Nina Paramitha Univeristas Bina Darma,Sains Teknologi,Teknik Elektro, Jendral A Yani No. 3 Plaju, 30264 Palembang Indonesia

DOI:

https://doi.org/10.33387/protk.v12i3.9705

Keywords:

Infant growth, infant development, nutritional status, ultrasonic sensor, load cell, ESP32, automatic monitoring, real-time, Blynk.

Abstract

Growth and development of infants are crucial aspects that need to be regularly monitored, with height and weight serving as key indicators of nutritional status. This study aims to design and develop a technology-based system to automatically monitor the height and weight of infants using ultrasonic sensors and load cells. The system is designed to provide accurate, practical, and continuous real-time measurements, integrating technologies such as ESP32, LCD, and Blynk application. Test results demonstrate that the system achieves high accuracy with an error percentage below 1%, along with optimal performance of the ultrasonic sensor (distance up to 80 cm) and load cell (weight up to 10 kg). Among the 6 samples tested, 2 infants were categorized as undernourished, 4 as normal. This system is expected to simplify the monitoring of infant nutritional status, support early detection of health issues, and contribute to improved growth quality

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Published

2025-09-14

How to Cite

Setiawan, B., Ariyadi, T., Fitriani, E., & Paramitha, N. (2025). Ideal Baby Height And Weight Monitoring Design. Protek : Jurnal Ilmiah Teknik Elektro, 12(3), 195–199. https://doi.org/10.33387/protk.v12i3.9705

Issue

Vol. 12 No. 3 (2025): Protek : Jurnal Ilmiah Teknik Elektro

Section

Internet of Things, Big Data and Cloud Computing

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