Analysis of West Java Swimming Athletes' Performance in Breaststroke

This research aims to analyze the performance of West Java swimming athletes in the 100-meter breaststroke event. This analysis is crucial given the importance of race analysis in competitive swimming and the limited specific studies on the breaststroke at the regional level. Employing a descriptive quantitative approach, performance data from eight athletes (four male and four female) from the West Java Swimming Series 2025 were analyzed. The parameters measured included stroke count, stroke rate, stroke length, time per 10-meter segment, total race time, and speed per segment. The results indicate that DE (male) and AL (female) were the fastest overall swimmers. AL, in particular, demonstrated highly competitive performance, even outperforming several male swimmers. Analysis of split times revealed a progressive deceleration pattern from segment 1 to segment 4 in most athletes due to fatigue. However, DE and AL consistently maintained their speed in the final segments. In terms of stroke count, there was a tendency for an increase from SC 1 to SC 4, while the highest stroke rate was observed in SR 4. For stroke length, SL 1 had the highest average, and Velocity 1 recorded the highest average among the speed segments. Standard deviations indicated better performance consistency among male swimmers compared to female swimmers.

Authors

Institutions

Publication Details

Journal
ACTIVE Journal of Physical Education Sport Health and Recreation
Published
2025-06-30
DOI
https://doi.org/10.15294/active.v14i2.26619
Primary Topic
Sports and Physical Education Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of West Java Swimming Athletes' Performance in Breaststroke

Dede Rohmat Nurjaya, Mulyana Mulyana, Gafur Ammar Santoso, Irfan Apriliana
ACTIVE Journal of Physical Education Sport Health and Recreation
Sports and Physical Education Research
article

Analysis of West Java Swimming Athletes' Performance in Breaststroke

Dede Rohmat Nurjaya, Mulyana Mulyana, Gafur Ammar Santoso, Irfan Apriliana
article en

Abstract

This research aims to analyze the performance of West Java swimming athletes in the 100-meter breaststroke event. This analysis is crucial given the importance of race analysis in competitive swimming and the limited specific studies on the breaststroke at the regional level. Employing a descriptive quantitative approach, performance data from eight athletes (four male and four female) from the West Java Swimming Series 2025 were analyzed. The parameters measured included stroke count, stroke rate, stroke length, time per 10-meter segment, total race time, and speed per segment. The results indicate that DE (male) and AL (female) were the fastest overall swimmers. AL, in particular, demonstrated highly competitive performance, even outperforming several male swimmers. Analysis of split times revealed a progressive deceleration pattern from segment 1 to segment 4 in most athletes due to fatigue. However, DE and AL consistently maintained their speed in the final segments. In terms of stroke count, there was a tendency for an increase from SC 1 to SC 4, while the highest stroke rate was observed in SR 4. For stroke length, SL 1 had the highest average, and Velocity 1 recorded the highest average among the speed segments. Standard deviations indicated better performance consistency among male swimmers compared to female swimmers.

ACTIVE Journal of Physical Education Sport Health and RecreationVol. 14(2)
Indonesia University of Education (ID)
Openalex Percentile: Top 75%
Sports and Physical Education Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.