Soedjatmiko
Universitas Negeri Semarang

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The Role of Big Data Analytics (BDA) in Sport: Sports Data Mining Soedjatmiko; Atip Nurcahyani; Putra Sastaman B; Mashud; Ahmad Nasrulloh
Journal of Coaching and Sports Science Vol. 4 No. 2 (2025): Journal of Coaching and Sports Science
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jcss.v4i2.717

Abstract

Background: Big Data Analytics (BDA) is urgently needed in Indonesian sports to improve evidence-based decision-making, athlete development, and organizational management. While BDA has transformed global sports through data-driven insights, its application in Indonesia remains limited and fragmented. The absence of integrated analytics between athlete performance and organizational quality management hinders the creation of sustainable, long-term development systems. Aims: This study investigates how BDA can enhance athlete development and organizational management by analyzing multidimensional data from athletes, coaches, referees, and sports infrastructures. It also aims to identify dominant predictors of athlete performance across various sports and to evaluate the quality management practices of the National Sports Committee of Indonesia (NSCI). Methods: A mixed-methods sequential explanatory design was applied. The quantitative phase involved 67 athletes from six sports: football, table tennis, weightlifting, pencak silat, basketball, and karate at the Sport Training Center. Data on anthropometry, fitness, and achievements were analyzed using descriptive statistics, ANOVA, Chi-Square, and regression tests. The qualitative phase involved interviews and observations with 8–12 stakeholders, while organizational quality was assessed using the Wilcoxon Signed Rank test. Result: Results revealed significant performance differences among sports (F = 4.927, p = 0.001). Each sport had unique dominant predictors: VO₂ max and anthropometry (soccer), agility (table tennis), muscle strength (weightlifting), endurance and height (basketball), and speed (karate). NSCI’s organizational analysis showed substantial deficiencies in management, facilities, and procedures (p < 0.001). Conclusion: This study confirms that BDA is crucial in advancing sustainable sports development. By identifying sport-specific performance predictors and systemic weaknesses, BDA provides a scientific foundation for designing targeted training, improving organizational quality, and building adaptive, data-driven sports ecosystems in Indonesia. The findings highlight the urgent need for national sports bodies to institutionalize BDA as part of long-term strategic planning.
Pengaruh Latihan Plyometrik dan Kekuatan Otot Kaki terhadap Peningkatan Kecepatan Renang Gaya Dada Jarak 50 Meter Pada Siswa Ekstrakurikuler SMK Bina Bangsa Kersana, Kabupaten Brebes M Fahri Dwi Prasetiyo; SUPRIYONO; Soedjatmiko; Hadi
Journal of Physical Education and Sports Vol. 15 No. 2 (2026): Juni 2026
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpes.v15i2.45690

Abstract

This study aimed to examine the effects of plyometric exercises, specifically jump to box and depth jump, and leg muscle strength on 50-metre breaststroke speed in students participating in extracurricular swimming at SMK Bina Bangsa Kersana, Brebes Regency. Using a quantitative experimental approach with a 2x2 factorial design, the study involved students undergoing plyometric training for four weeks, three sessions per week. The dependent variable was 50-metre breaststroke speed, and leg muscle strength was considered an attribute variable. The results indicated that both jump to box and depth jump exercises significantly increased swimming speed (F=215.207; p<0.05). Leg muscle strength also had a significant impact (F=51.909; p<0.05), with students possessing higher leg strength achieving faster swimming times. Furthermore, a significant interaction was observed between the type of plyometric exercise and leg muscle strength (F=8.206; p<0.05), suggesting that exercise effectiveness depends on the student’s leg strength. Overall, jump to box training was more effective than depth jump, and students with high leg strength showed the greatest improvement. These findings confirm that structured plyometric training, particularly jump to box exercises, combined with sufficient leg muscle strength, can optimize 50-metre breaststroke performance, making it a recommended approach for enhancing swimming speed in adolescent athletes.