Research Article
Learning Innovation With The Biomechanics Analysis Application (Kinovea Software) To Develop Skills Short Distance Running (100 M) PKO FIK UNIMED Students
@INPROCEEDINGS{10.4108/eai.16-9-2025.2361094, author={Putra Arima and Asep Prima and Yan Indra Siregar and Dicky Edwar Daulay}, title={Learning Innovation With The Biomechanics Analysis Application (Kinovea Software) To Develop Skills Short Distance Running (100 M) PKO FIK UNIMED Students}, proceedings={Proceedings of the 7th International Conference on Innovation in Education, Science, and Culture, ICIESC 2025, 16 September 2025, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2026}, month={3}, keywords={motion analysis skills athletics}, doi={10.4108/eai.16-9-2025.2361094} }- Putra Arima
Asep Prima
Yan Indra Siregar
Dicky Edwar Daulay
Year: 2026
Learning Innovation With The Biomechanics Analysis Application (Kinovea Software) To Develop Skills Short Distance Running (100 M) PKO FIK UNIMED Students
ICIESC
EAI
DOI: 10.4108/eai.16-9-2025.2361094
Abstract
This study aims to describe the analysis of athletic skills in the 100 meter sprint race in PKO FIK UNIMED students. The data analysis technique in this study used quantitative descriptive analysis with percentages. The results of the analysis of athletic skills movements in the 100 meter sprint event showed that there were 3 students with a percentage of (11,54%) who have 100 Meter Sprint Running Skills in the very good category, 4 students with a percentage (15,38%) who have 100 Meter Sprint Running Skills in the good category, 12 students with a percentage (46,15%) who have 100 Meter Sprint Running Skills in the medium category, 2 students with a percentage (7,09%) who has 100 Meter Sprint Skills in the very poor category. So, of the 5 categories, the largest percentage is 12 students in the medium category.
