Title:
Application for Early Detection of Childhood Development Using Intelligent System

Authors:
Sri Widodo, Darah Ifalahmah, Sri Wahyuningsih Nugraheni, Indonesia

Abstract:

Child development is a process of increasing abilities and more complex body structures and functions as a result of maturation of cells. Monitoring of child development needs to be done from in the womb to adulthood. But currently the activity of mothers in monitoring their child's development has decreased, due to busyness and laziness. The research objective is to develop an intelligent application for early detection of child development, from zero to six years old using an intelligent system. This application is intended for parents and the health medical team who work at the Public Health Center, to provide information about children's development, identify deviations in children's development and can provide early stimulation suggestions for what to give to children. This research includes two main things. The first is the development of software for managing toddler medical record data. The second is the development of software to detect child development using an intelligent system. The method used is an Artificial Neural Network, Backpropagation. With the developed application, early growth and development deviations can be identified easily, so that efforts to prevent, stimulate and cure as well as restore them can be carried out as early as possible. The accuracy of the developed application is 98.3%.

DOI: http://dx.doi.org/10.51505/ijaemr.2024.9109