Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JSES : Journal of Sport and Exercise Science General Multidisciplinary Research Journal
Waskita, Ghozi Indra
Unknown Affiliation
Religion Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
The Role of Machine Learning in Modern Football Analytics: A Systematic Review of Approaches and Their Implications Waskita, Ghozi Indra; Kurniawan, Haris; Yudhistira, Dewangga; Mohamad, Nur Ikhwan Bin; Anam, M. Khairul
JSES : Journal of Sport and Exercise Science Vol. 8 No. 2 (2025): September
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jses.v8n2.p178-186

Abstract

Purpose: Football has increasingly become a multidisciplinary field that integrates not only physical and tactical elements but also technological advancements to enhance decision-making. One of the prominent developments in this domain is the application of machine learning (ML) techniques to analyze match-related data, assess player performance, and optimize team strategies. This study aims to conduct a systematic literature review of contemporary research that employs machine learning algorithms within the context of football. Materials and Methods: A total of 50 scientific articles were initially retrieved from various reputable databases. Following a rigorous screening and eligibility assessment, 30 articles were selected for detailed analysis. Result: These studies employ diverse machine learning approaches, including Support Vector Machines (SVMs), Random Forests, XGBoost, Deep Learning, and clustering methods, for a wide range of purposes, such as match outcome prediction, player performance evaluation, injury detection, and playing position classification. The findings of this review underscore the potential of machine learning to contribute significantly to data-driven decision-making in football, providing valuable insights for coaches, performance analysts, and club management. Conclusion: Furthermore, this study identifies key challenges that remain, including data quality, data availability, and the interpretability of complex models. This review will serve as a critical reference for researchers and practitioners advancing intelligent technologies in sports, with particular emphasis on football.
The Impact of Traditional Acehnese Games on Physical Fitness, Motivation, and Social Skills among Male Students Participating in Extracurricular Football Activities at MTs Negeri 5 Bireuen Iswanjaya, Bangkit Budi; Iswanto, Ari; Waskita, Ghozi Indra; Yudhistira, Dewangga
General Multidisciplinary Research Journal Vol. 3 No. 1 (2026)
Publisher : Global Sustainability Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63453/general.v3i1.52

Abstract

Introduction: Traditional games are part of local cultural heritage that have the potential to support physical, motivational, and social development in students. In physical education contexts, integrating traditional games may provide an enjoyable learning experience while enhancing students’ physical fitness and social character. Methods: This study employed a quasi-experimental method using a randomized control group pretest–posttest design. A total of 26 male students participating in soccer extracurricular activities were selected through total sampling and divided into experimental and control groups. Research instruments included the Indonesian Physical Fitness Test (TKJI), a learning motivation questionnaire, and a social skills questionnaire (SSRS). Results: The findings indicate that the implementation of traditional Acehnese games led to improvements in students’ physical fitness, learning motivation, and social skills. Students who participated in traditional game-based activities demonstrated better physical condition, higher motivation to engage in learning activities, and more positive social interactions compared to those who did not receive the treatment. Conclusion and Suggestion: This study concludes that traditional Acehnese games are effective as an alternative learning strategy to enhance physical fitness, motivation, and social skills among students in extracurricular sports activities. It is recommended that physical education teachers and schools incorporate traditional games into extracurricular and instructional programs to promote holistic student development. Future research is encouraged to involve larger samples and different educational levels to strengthen the generalizability of the findings.
Co-Authors Anam, M Khairul Ari Iswanto, Ari Haris Kurniawan, Haris Iswanjaya, Bangkit Budi Mohamad, Nur Ikhwan Bin Yudhistira, Dewangga