Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi
Wajdi, Halim
Unknown Affiliation
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IoT architecture that supports the stimulation of gross motor development in children aged 5-6 years using drop box game Wajdi, Halim; Suwastika, Novian Anggis; Yasirandi, Rahmat
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 2 (2020): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i2.1958

Abstract

Gross motor development in children influences the development of self-confidence and the concept of self-formation as they mature. Many people assume that gross motor development is often ruled out compared to other aspects of child development because the perception of gross motor development will automatically increase with age, when in fact the gross motor development must continue to be stimulated so that it develops perfectly. The activity used in this research is the game of putting balls into a hole by moving the game box (Drop Box). This research aims to build a device that has been designed and assess the ability/performance of the system based on the parameters of functionality, the accuracy of values , and reading speed. In this research, the Drop Box game implements Internet of Things (IoT) to support recording activities and processing data obtained from recording children's activities. In this research also proposed a suitable IoT architecture and has been applied in the development of the Drop Box game device. We carry out functional system testing and system performance testing based on accuracy parameters and speed-reading parameters. The test results show that the functionality of the system runs with an average of 100%. For system performance, the result is 86.59% for 20 ms as the optimal delay in testing accuracy and 79 ms for reading speed.
Co-Authors Novian Anggis Suwastika Yasirandi, Rahmat