JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Vol. 7 No. 1 (2022)

MEASURING BABY’S BODY LENGTH UTILIZING IMAGE PROCESSING

Windy Andhika Putra (Universitas Telkom)
Muhammad Rizqy Alfarisi (Universitas Telkom)
Gita Indah Hapsari (Universitas Telkom)
Periyadi (Universitas Telkom)



Article Info

Publish Date
30 Apr 2022

Abstract

The Baby Body Length Measurement System with Machine Learning methods and Open CV library is a system designed to make it easier for Posyandu officers to take measurements of the baby's body length, where this system will measure the baby's body length using a camera, and assisted with library image processing, namely, Open CV, and to measure the length of the baby's body using Machine Learning, namely the Linear Regression method, and the measurement data will be sent to a Web application so that the baby's mother can monitor the growth and development of her baby, The system that was built has an average error of -1,42 in the condition of the lamp with a power of 40Watt and in the light of a lamp with a power of 11Watt the average error is found with a value of -15,37 and at a distance of 64 cm the system can detect objects and measure the length of the object with an average measurement error of -10,6.

Copyrights © 2022






Journal Info

Abbrev

jtiulm

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) is intended as a media for scientific studies on the results of research, thinking and analytical-critical studies regarding research in Systems Engineering, Informatics / Information Technology, Information Management and Information ...