International Journal Artificial Intelligent and Informatics
Vol. 4 No. 3 (2026): August 2026

Technology Assisted Assessment of Hand Movement Coordination and Long Service Performance in Badminton Among Fifth-Grade Elementary School Students

agnesmh0926x7 agnesmh0926x7 (STOK Bina Guna Medan)
Agnes Monica Hutahaean (STOK BINA GUNA MEDAN)
Muhammad Isnandar (STOK BINA GUNA MEDAN)
Heri Masmur sembiring (STOK BINA GUNA MEDAN)



Article Info

Publish Date
07 Oct 2026

Abstract

This study investigated the relationship between hand movement coordination and badminton long service performance among fifth-grade students at State Elementary School 067260 Medan Marelan. A quantitative approach with a simple correlational design was employed. The source study reports a population of 30 fifth-grade students, while the final SPSS statistical output contained 12 valid cases. Hand movement coordination was assessed using a 30-second ball throwing-and-catching test, whereas long service performance was measured using a badminton long service test. Technology-assisted data processing was conducted with SPSS through descriptive statistics, the Shapiro-Wilk normality test, linearity analysis, Pearson Product Moment correlation, and the coefficient of determination. The mean coordination score was 12.17, with a minimum of 7 and a maximum of 15. The mean long service score was 49.67, with a minimum of 21 and a maximum of 78. Both variables were normally distributed. Pearson analysis produced r = 0.621 and p = 0.031, with a reported r-table value of 0.576 at df = 10 and alpha = 0.05. Thus, hand movement coordination had a statistically significant, positive, and strong relationship with long service performance. R-squared was 0.386, indicating that 38.6% of the observed variation in long service performance was associated with coordination. The findings support the integration of coordination-oriented exercises and digital statistical assessment in elementary badminton instruction, while also indicating the need to examine other technical and physical determinants in future research.

Copyrights © 2026






Journal Info

Abbrev

IJARLIT

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance

Description

International Journal of Artificial Intelligence and Informatics is a scientific journal dedicated to the exploration of theories, methods, and applications of artificial intelligence in time series analysis, forecasting, and prediction. This journal serves as a platform for researchers, academics, ...