Melola Discovery

← Melola Discovery

Journal

Prediction of 20 Meter Sprint Speed via Muscle Fibers and Leg Power at Cibubur National Training Center

ACTIVE: Journal of Physical Education, Sport, Health and Recreation · Vol. 15 No. 2 (2026) · pp. 377–384

DOI
10.15294/active.v15i2.46130
ISSN
2460-724X, 2252-6773
Published
2026-04-28
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Objective: This study aims to predict the speed of a 20-meter sprint based on the characteristics of muscle fibers and leg power in athletes who participate in a coaching program at the Cibubur National Sports Training Center (CNSTC). This study is expected to provide an understanding of the contribution of physiological factors and explosive abilities of the legs to short-distance sprint performance. Methods: The study used a quantitative approach with a predictive correlational design. The subjects of the study are athletes who undergo a training program at CNSTC Cibubur. The characteristics of the muscle fibers were identified through neuromuscular measurements, while the strength of the limbs was measured using the vertical jump test. Sprint speed is measured through a 20-meter sprint test with an electronic timekeeping device. Data were analyzed using descriptive statistics, correlation tests, and regression analysis to determine the contribution of predictive variables to sprint performance. Results: The results of the analysis showed that the dominance of fast muscle fibers and high leg power were positively and significantly related to the 20-meter sprint speed. Athletes with these characteristics tend to record faster sprint times. Regression analysis also showed that both variables simultaneously made a significant contribution to predicting short-distance sprint performance. Conclusion: Muscle fibers and leg power are important predictors in determining the speed of a 20-meter sprint in athletes, so the development of explosive and neuromuscular exercises has the potential to improve sprint performance more effectively.

Keywords

Collaboration network of the authors

27 authors · 67 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rina WindiartiState University of Semarang2
Inayah InayahAffiliation unknown2
Dayat HidayatAffiliation unknown2
Nia HoerniasihAffiliation unknown2
Ivana Rizki AuliaAffiliation unknown1
Gita HindrawatiAffiliation unknown1
Salman RashidAffiliation unknown1
Froilan Delute MoboAffiliation unknown1
Afan HarsonoAffiliation unknown1
Syabrina Nurlaksa Al FitriAffiliation unknown1
Syiqul Izzah Al-KhukmiAffiliation unknown1
Ardhian Tomy KurniawanAffiliation unknown1
Akhmad Azlan KhoirurrozikinAffiliation unknown1
Uzizatun MaslikahAffiliation unknown1
Nurhidayat NurhidayatAffiliation unknown1
Sitti ChadidjahAffiliation unknown1
M. Said ZainuddinAffiliation unknown1
Arifuddin UsmanAffiliation unknown1
Muhammad Adnan HudainAffiliation unknown1
Muhammad Miftah FauzanAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/peshr/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Prediction of 20 Meter Sprint Speed via Muscle Fibers and Leg Power at Cibubur National Training Center</dc:title>
	<dc:creator xml:lang="en">Hermawan, Iwan</dc:creator>
	<dc:creator xml:lang="en">Juriana, Juriana</dc:creator>
	<dc:creator xml:lang="en">Dewanti, Rina Ambar</dc:creator>
	<dc:creator xml:lang="en">Husaini, Fachri</dc:creator>
	<dc:creator xml:lang="en">Samawati Ali, Najwa Nur</dc:creator>
	<dc:creator xml:lang="en">Vanesha, Vanesha</dc:creator>
	<dc:creator xml:lang="en">Jariono, Gatot</dc:creator>
	<dc:subject xml:lang="en">Sprint speed 20 meters</dc:subject>
	<dc:subject xml:lang="en">muscle fibers</dc:subject>
	<dc:subject xml:lang="en">Limb power</dc:subject>
	<dc:subject xml:lang="en">Athletes of the National Sports Training Center Cibubur</dc:subject>
	<dc:description xml:lang="en">Objective: This study aims to predict the speed of a 20-meter sprint based on the characteristics of muscle fibers and leg power in athletes who participate in a coaching program at the Cibubur National Sports Training Center (CNSTC). This study is expected to provide an understanding of the contribution of physiological factors and explosive abilities of the legs to short-distance sprint performance. Methods: The study used a quantitative approach with a predictive correlational design. The subjects of the study are athletes who undergo a training program at CNSTC Cibubur. The characteristics of the muscle fibers were identified through neuromuscular measurements, while the strength of the limbs was measured using the vertical jump test. Sprint speed is measured through a 20-meter sprint test with an electronic timekeeping device. Data were analyzed using descriptive statistics, correlation tests, and regression analysis to determine the contribution of predictive variables to sprint performance. Results: The results of the analysis showed that the dominance of fast muscle fibers and high leg power were positively and significantly related to the 20-meter sprint speed. Athletes with these characteristics tend to record faster sprint times. Regression analysis also showed that both variables simultaneously made a significant contribution to predicting short-distance sprint performance. Conclusion: Muscle fibers and leg power are important predictors in determining the speed of a 20-meter sprint in athletes, so the development of explosive and neuromuscular exercises has the potential to improve sprint performance more effectively.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-04-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/peshr/article/view/46130</dc:identifier>
	<dc:identifier>10.15294/active.v15i2.46130</dc:identifier>
	<dc:source xml:lang="en">ACTIVE: Journal of Physical Education, Sport, Health and Recreation; Vol. 15 No. 2 (2026); 377-384</dc:source>
	<dc:source>2460-724X</dc:source>
	<dc:source>2252-6773</dc:source>
	<dc:source>10.15294/active.v15i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/peshr/article/view/46130/9298</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 ACTIVE: Journal of Physical Education, Sport, Health and Recreation</dc:rights>
</oai_dc:dc>