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Journal of Coaching and Sports Science
Published by Foundation of Advanced Education
ISSN : 29631459     EISSN : 29631483     DOI : 10.58524/jcss.v1i2.
Core Subject : Education, Social,
Education Social Sciences
Journal of Coaching and Sports Science is an academic journal that aims to provide education about coaching and sports science. In this journal, theory and practice in coaching will be integrated with sports science as a critical reflection of coaching practice, as well as improving sports academics and coaches to help athletes acquire skills through sports science. The vision of this journal uncovers, understands, and develops the processes involved in sports coaching and the development of sports science.
Arjuna Subject : Umum - Umum
Articles 59 Documents
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Psychological Needs Satisfaction and Thwarting, Burnout, and Controlling Coach Behaviors among Athletes: A Structural Model on Team Climate Tuano, Arianne Michael Sim Monderondo; Andacao, Arvin Alcaraz; Dora, Jovelito
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.v4i2.656

Abstract

Background: Team climate plays a crucial role in athletes' psychological well-being and performance. While sports participation fosters social connections and mental wellness, athletes also face stressors that impact their motivation and well-being.Aims: This study aimed to assess the levels of psychological needs satisfaction (PNS), psychological need thwarting (PNT), burnout (BO), controlling coach behavior (CCB), and team climate (TC) among athletes. It also examined the relationships among these variables, identified key predictors of team climate, and determined the best-fitting model explaining team climate in a sports context.Methods: A descriptive-correlational design and Structural Equation Modeling (SEM) were used to analyze data from 57 competitive athletes. PNS, PNT, CCB, and BO were measured to identify key predictors influencing TC and its model parsimony.Results: Mean scores indicated moderate to high levels of PNS (x̄=5.87), PT (x̄=3.30), BO (x̄=3.00), CCB (x̄=2.90), and TC (x̄=5.53). Correlation analysis revealed that PNS positively correlated with TC (r=0.545; p<0.01), while PT (r=-0.362; p<0.01) and BO (r=-0.200; p<0.05) negatively correlated with TC. Multiple regression showed that PNS (β=0.626; p=0.000), PT (β=-0.504; p=0.000), and BO (β=0.423; p=0.004) significantly predicted TC, with an R² of 0.505. Among of the generated models, hypothesized model 4 met the high threshold indices (CMIN/DF=1.102, RMSEA=0.02, GFI=0.981, CFI=0.958, TLI=0.972, NFI=0.956).Conclusion: PNS emerged as the strongest predictor of TC, while PNT hindered it. Surprisingly, BO positively influenced TC, suggesting shared adversity may strengthen cohesion. CCB did not directly predict TC but indirectly influenced BO. The findings highlight the importance of athlete-centered coaching in fostering supportive teams and well-being.
Body Composition, Hand Grip Strength, and Leg Strength in Various Sports Azim, Al; Bougrine, Houda; Hossain, Jakir; Laher, Ismail; Govindasamy, Karuppasamy; Saeidi, Ayoub; Zouhal, Hassane
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.v4i2.742

Abstract

Background: Body composition, leg strength ratio, and handgrip strength could significantly affect and predict aspects of health and athletic performance. We explored the association between body composition (BC), leg strength (LSR), and hand grip strength (HGS) among university athletes in different sports.Aims: to investigate the multiple influences of these physical factors through other sports to provide a more integrated understanding of the total effect of these factors on athlete performance and selection.Methods: Sixty-six university athletes (age: 22.76± 2.11y, BMI 21.57± 3.04 kg/m2) were enrolled for our study. The participants (39 males and 27 females) participated in cricket, volleyball, and athletics. Body composition (BC), including lean body mass (LBM), muscle mass (MM), skeletal muscle mass (SMM), body fat mass (BFM), basal metabolic rate (BMR), hand grip strength (HGS), and leg strength ratio (LSR), was assessed. A chi-square test and independent sample t-tests analyzed the differences between categorical and continuous variables. A one-way ANOVA was used to analyze the multiple comparisons (BMR, LSR, BFM, and HGS) across cricket, volleyball, and track and field athletes.Results: The mean BFM in volleyball players was higher than in track and field athletes (14.20 ± 6.28 vs 8.44 ± 3.15, p<0.05). Analysis with a linear regression model adjusted for age, sex, BMI, and smoking habit indicated that LBM and BFM of participants were positively associated with HGS (p<0.05). However, an increase in HGS was associated with greater LSR in cricket (p< 0.001), volleyball (p <0.0001), and track and field athletes (p< 0.01).Conclusions: Our findings suggest that body composition, hand grip strength, and leg strength may be useful in player selection and improving performance for specific sports. Our results indicate increased hand grip strength is associated with greater leg strength.
The Role of Big Data Analytics (BDA) in Sport: Sports Data Mining Soedjatmiko; Nurcahyani, Atip; Sastaman B, Putra; Mashud; Nasrulloh, Ahmad
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.
Differences in perceived readiness to train between two menstrual cycle phases in female athletes Reinertz, Noah; Crossland, Brett
Journal of Coaching and Sports Science Vol. 5 No. 1 (2026): In Press: Journal of Coaching and Sports Science
Publisher : CV. FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/jcss.v5i1.882

Abstract

Background: The menstrual cycle and associated physical symptoms, such as fatigue, mood swings, cramps, changes in energy levels, and physical discomfort, may directly influence athletic performance. Aims: The purpose of this study was to determine the effects of two stages of the menstrual cycle (early follicular & luteal phases) on recovery from exercise, as measured by heart rate variability, jumping performance, and a psychological wellness questionnaire in conjunction with current training regimes. Methods: A repeated measurement design was utilized, and statistical significance was set a priori at p < 0.05. Fifteen (n = 15) female participants (mean ± SD) for age, height, weight, body composition of 19.60 ± 1.3 years, 164.67 ± 5.78 cm, 62.44 ± 10.95 kg, and body composition 24.34 ± 6.45%), were tested in the early follicular and early luteal phase of their menstrual cycle. Results: Researchers observed significant differences in perceived readiness to train between the two phases. The early luteal phase showed a significantly higher (p < 0.01) score on the wellness questionnaire than the early follicular phase. No significant differences were found for HRV (p = 0.62), reactive strength index (p = 0.59), and vertical jump performance (p = 0.12) between the two phases. Conclusion: These results suggest that in the early luteal phase, athletes are less negatively affected by psychological factors and appear better prepared to train. However, these factors do not have a significant impact on performance metrics.
Performance Indicators in Football: Examining the impact of Passing and Crossing Efficiency on Team Rankings Nazarudin, Mohamad Nizam; Okilanda, Ardo; Musa, Rabiu Muazu; Xiaoyan, Lao
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.v4i2.889

Abstract

Background: Passing and crossing efficiency are recognized as key factors in football performance, yet their contextual influence in Southeast Asian competitions has been underexplored. The 2024 Mitsubishi Electric Cup offers a vital setting to examine how these technical indicators affect team tactics and rankings within the region's evolving football landscape.Aims: This study aims to analyze team distribution performance through accurate passes, pass success rates, and crossing accuracy, and to determine how these variables relate to team rankings and tactical strategies in both offensive and defensive phases.Methods: A quantitative approach was employed using descriptive statistics, Pearson correlation, and regression analysis. Data were collected from official tournament databases. The independent variables were accurate passes, pass success rate, and crossing accuracy, while team ranking served as the dependent variable.Results: Data from ten teams were analyzed. Thailand recorded the highest pass success rate (85%) and passing volume (3,373 passes), showing strong possession control. Vietnam achieved the highest crossing accuracy (60%), indicating effective wide-play. Correlation analysis revealed a moderate relationship between pass success rate and crossing accuracy (r = 0.65, p < 0.05). Regression results confirmed that pass success rate significantly predicted passing volume (R² = 0.45, p < 0.05).Conclusion: Teams with higher pass accuracy demonstrated superior control and competitive performance, while crossing efficiency was more context-dependent. Coaches and federations should emphasize structured passing drills and possession-based play, integrating crossing strategies selectively. Future studies should apply AI-assisted tactical modeling to enhance distribution and performance analysis in regional and global football
Integration of Biomechanics and Digital Technology: Using Kinovea for Motion Analysis and Learning for Beginner Athletes Hudha, Muhammad Nur; Probosari, Riezky Maya; Khasanah, Annisa Nur; Supurwoko; Nisa’, Salsabila Kholifahtun; Latief, Gifran Rihla Gifarka
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.v4i2.890

Abstract

Background: The integration of biomechanics with digital motion-analysis technologies has introduced new approaches for examining movement efficiency, kinematic characteristics, and technical patterns in walking and running activities. Kinovea, as an accessible motion-analysis software, provides both visual and quantitative feedback. However, its application in supporting technique development among beginner athletes remains insufficiently explored. Aim: This study aims to describe the use of Kinovea in biomechanics training and examine its contribution to the awareness of kinematic characteristics and movement techniques among beginner athletes. Methods: A descriptive qualitative design involved 72 beginner athletes aged 18–25 years selected through purposive sampling. Data were collected over 16 weeks through interviews, field observations, and motion video recordings analyzed using Kinovea. Kinematic data focused on joint angles, stride behavior, and movement phases during walking, running, and the flight phase. Qualitative data were analyzed using content analysis with NVivo 12, while kinematic results were interpreted descriptively to identify performance patterns and areas for technical refinement. Result: Kinematic analysis showed coordinated joint-angle patterns across all phases. Walking analysis identified arm swing angles of 50.9°–58.8° and leg separation angles of 64.3°–67.2°, indicating a stable gait rhythm. The running analysis revealed knee angles of 68.8°–69.8° and elbow angles of 87.6°–89.1°, indicating efficient propulsive mechanics. The flight phase demonstrated knee angles of 81.2°–87.8° and elbow angles of 80.4°–88.3°, suggesting effective momentum use and postural stability. These measurements supported stride-efficiency assessment and technique evaluation. Qualitative findings revealed that Kinovea enabled athletes to interpret movement phases and identify technical inefficiencies through slow-motion and frame-by-frame visualization. Conclusion: Kinovea supports basic motion analysis by providing clear kinematic information and helping beginner athletes observe and refine their movement techniques. The findings also offer practical value for coaches by enabling more precise identification of inefficient patterns and guiding targeted corrections during early-stage training.
Digital Technology and Local Policy: An Evidence-Based Collaborative Model for Sports Talent Identification Buhari, Muhammad Ramli; Hamdiana, Hamdiana; Ismawan, Hendry; Khumaini, Muhammad Hakam Fitrah
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.v4i2.903

Abstract

Background: Talent identification requires objective and consistent data use, yet many athlete development systems still rely on limited technological support and uneven policy implementation. Aligning digital tools with local policy is therefore essential for creating a more coherent evidence-based approach. Aims: This study explains the relationship between technology utilization and local policy support in enhancing talent identification effectiveness and formulates a collaborative conceptual model integrating both components. Methods: This study used a quantitative explanatory design involving 50 participants consisting of coaches, physical education teachers, and student athletes selected through purposive sampling. Data were obtained through TIDev outputs, validated questionnaires, and structured observations. Analysis was performed using descriptive statistics, Pearson's correlation, and multiple regression through SPSS to evaluate technology utilization, policy support, and talent mapping efficiency. A conceptual model was formulated through interpretive synthesis based on empirical patterns and relevant theories. Results: Technology utilization showed high mean scores, while policy implementation and impact were moderate. Correlation analysis indicated no significant relationship between policy support and technology use. Regression results showed that TIDev significantly improved talent-mapping efficiency, whereas policy support had no direct effect. Expert validation yielded a high I-CVI score (0.88), confirming relevance of the proposed collaborative model. Conclusion: This study shows that TIDev contributes meaningfully to improving the effectiveness of talent identification, whereas local policy support has not yet been fully integrated into operational practice. Based on the empirical patterns, a collaborative conceptual model was formulated to illustrate how technological evidence and policy structures can be aligned to strengthen talent identification.
Integration of Eye-Tracking Technology in Virtual Reality Applications for Basketball Training: A Mixed Methods Needs Assessment Rahmadani, Ahmad; Candra, Oki; Perdima, Feby Elra; Ali , Syed Kamaruzaman Syed; Lobo, Joseph T; Gazali, Novri
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.v4i2.912

Abstract

Background: The integration of virtual reality (VR) and eye-tracking (ET) technologies has considerable potential for enhancing perceptual–cognitive skill development in basketball. However, existing research provides limited guidance on the technical and pedagogical requirements for designing VR–ET systems that are both instructionally meaningful and aligned with user needs. Aims: This study aims to identify these key design requirements through a user-centred mixed-methods approach. Methods: Semi-structured interviews and focus group discussions with coaches and lecturers were conducted to explore training challenges, expectations, and pedagogical considerations. Insights from the qualitative phase informed the development of a questionnaire administered to student-athletes (N = 120), allowing for the validation and prioritisation of system requirements. Qualitative data were analysed thematically, while quantitative data were examined using descriptive statistics. Result: The integrated findings reveal six essential domains for effective VR–ET system design: immersive tactical–technical visualisation, interactive decision-making scenarios, gaze-based performance indicators, real-time visual feedback, learning support features, and implementation readiness. Users emphasised the value of VR–ET for enhancing tactical understanding, attentional control, and personalised training experiences. Conclusion: This study contributes both theoretically and methodologically by addressing the lack of user-informed frameworks in VR–ET research and demonstrating the value of participatory mixed-methods approaches in sports technology development. The results provide a foundational design blueprint for future VR–ET prototypes and offer new insights into how immersive and gaze-based technologies can support athlete learning in team sports.
Usability Testing of Web-Based Anti-Doping Monitoring (Haloatlet 1.0) for Physical Impairment Athletes Umar, Fadilah; Kardiyanto, Deddy Whinata; Prayogo, Giri; Misbah, Misbah; Listiani, Dina
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.v4i2.978

Abstract

Background: Athletes with disabilities still have limited access to digital anti-doping education, reflecting low digital readiness and unequal access to critical information. This gap increases the risk of unintentional doping, highlighting the urgency of improving digital anti-doping education for this population. Purpose: This study aims to evaluate the usability of the Haloatlet 1.0 monitoring media, which has been developed as part of an effort to prevent doping use among athletes with disabilities, utilizing the Software Development Life Cycle (SDLC) with an iterative model. The research focuses on the usability testing phase of the developed media product. Materials and methods: Data collection involved a sample of 30 athletes selected from 7 different sports. A Likert-scale System Usability Scale (SUS) questionnaire was used as the data collection instrument. The Curved Grading Scale (CGS) was used as a reference to represent the level of usability of Haloatlet 1.0. Results: The usability evaluation of the Haloatlet 1.0 doping prevention monitoring website yielded a SUS score of 81.17 ± 10.74, corresponding to Grade A and falling within the Excellent usability category (top 90–95 percentile). Conclusions: These findings demonstrate that the Haloatlet 1.0 website successfully provides a high level of usability in supporting athletes with physical disabilities in accessing anti-doping information and prevention resources. Effective anti-doping initiatives require continuous collaboration among key stakeholders to ensure clean and fair sports environments. Therefore, the results of this study offer valuable insights for enhancing inclusive and accessible digital anti-doping education policies, particularly for athletes with disabilities who often experience limited access to conventional learning platforms.

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