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The impact of gender on volleyball athletes’ self-confidence: a quantitative analysis of adolescent players in padang Rudyanto, Rudyanto; Khairoh, Jannatul
Jurnal Patriot Vol 7 No 2 (2025): Jurnal Patriot
Publisher : Department of Coaching, Faculty of Sports Science, Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/patriot.v7i2.1162

Problem: This study investigates the impact of gender on self-confidence among adolescent volleyball athletes in Padang, Indonesia, addressing a research gap in the local context where psychological aspects of training remain underexplored. Previous findings on gender-based self-confidence in sports have been inconsistent, often influenced by socio-cultural and coaching environments. Purpose: This study aims to provide empirical evidence by examining differences in self-confidence between male and female adolescent volleyball players. Method: A quantitative comparative method was employed, involving 30 participants (15 males and 15 females) aged 15–18 years, selected through purposive sampling. Athletes were assessed using a self-confidence questionnaire encompassing three dimensions: belief in skill mastery, resilience under pressure, and perceived social support. Data were analyzed using SPSS version 26 with descriptive statistics and an independent samples t-test. Results: The results showed that male athletes scored a higher mean self-confidence score (M = 172.13, SD = 24.92) compared to female athletes (M = 150.27, SD = 33.35). Levene’s test confirmed the homogeneity of variance (p > 0.05), allowing further comparison through ANOVA, which yielded F = 4.138 with a significance value of p = 0.051. Although not statistically significant, the mean difference of 21.87 points indicates a psychological trend worthy of further investigation. These findings suggest that male athletes may benefit more from current training environments, while female athletes face more variability possibly due to gender role conflict and stereotype threat. Conclusion: The study concludes that gender-sensitive coaching approaches are essential to foster balanced psychological development. Limitations include the small sample size and localized setting. Future studies should expand the population, explore mediating variables such as coach–athlete relationships, and apply mixed-methods designs. This study contributes to the development of inclusive and supportive youth sports programs in Indonesia.

Technology-driven athlete monitoring in volleyball: a systematic review of sensor-based systems and performance evaluation Rudyanto Rudyanto; Ifdil Ifdil; Jeki Haryanto; Eval Edmizal; Frizki Amra; Ardo Okilanda
Lentera Negeri Vol. 7 No. 1 (2026): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992130

This systematic review gives an overview of studies dealing with the use of technology to monitor volleyball athletes during the time span from January 2015 to April 2026. By following PRISMA 2020 guidelines, we initially retrieved 2, 449 records from Scopus through a Boolean search. After stepwise screening, 29 documents ended up being reviewed. Methodological quality was, firstly, measured by the FICO framework (threshold ≥ 2/4), and AMSTAR-2 for systematic reviews was used; the reliability of the results across the reviewers was excellent (Cohen's κ = 0.81, 95% CI: 0.74, 0.88, i.e. strong agreement). Three major technology categories were identified: (1) wearable IMU-based systems, (2) GPS/LPS optical tracking, and (3) AI and machine learning analytics. Wearable devices were consistent in measuring jump load and player load (ICC > 0.87, 95% CI: 0.82, 0.93), whereas machine learning classifiers were able to recognize actions with accuracies of 85, 97%. Publication bias was very low (Egger's test, p = 0.21). The major problems identified were differences in cross-device standardization, female and youth players being, largely, absent from the studies, and laboratory sensor validation hardly reflecting real-life use.

Wearable technologies, performance analytics, and athlete monitoring systems in beach volleyball: a systematic review Rudyanto Rudyanto; Ifdil Ifdil; Jeki Haryanto; Eval Edmizal; Frizki Amra; Ardo Okilanda
Lentera Negeri Vol. 7 No. 1 (2026): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992160

This review by a systematic method was intended to integrate the present knowledge about wearable gadgets, tracking systems, and analytical methods used for the purpose of athlete performance and monitoring assessment in beach volleyball. The review was run in line with the PRISMA 2020 criteria. Based on its wide interdisciplinary coverage of sport science, biomechanics, engineering, computer science, and sports technology research areas, Scopus was chosen as the main database. Studies that included beach volleyball players or events and referred to wearable, sensor-based, tracking, physiological, or computational monitoring technologies were accepted. Study screening and data extraction were performed independently by two reviewers with a very good level of inter-rater agreement (Cohen's κ = 0.87). Out of 128 published studies between 1998 and 2026, 112 were included in the qualitative synthesis. Thematic analysis mapped four main research areas: wearable sensor validation and load monitoring, physiological and biochemical monitoring, computer-vision tracking systems, and machine-learning-based performance analytics. Concerning validity, Inertial Measurement Units (IMUs) were highly reliable for jump detection and external-load monitoring, while beach volleyball environment positional accuracy of Ultra-Wideband (UWB) systems topped that of GPS technologies. Machine-learning algorithms reached very high accuracy for action recognition, frequently above 95%, although small datasets were characteristic of most research. The data presented also make a strong case for wearable and analytical technologies integration as the base of evidence-based athlete monitoring, training program optimization, tactical player analysis, and performance management in beach volleyball. Investigations aiming at longitudinal monitoring, females and youth as athlete groups, and physiological, environmental, and artificial intelligent monitoring systems integration seem to be the most promising directions for future research.

Setter decision-making in elite volleyball: a systematic review of perceptual, tactical, and contextual factors Rudyanto Rudyanto; Ikhwanul Arifan; Bram Sujadesman
Lentera Negeri Vol. 6 No. 2 (2025): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992320

The setter is the main tactical thinker in volleyball who can turn the team's uncertain reception into an effective attack based the quick perceptual and decision-making process of a setter. However, the research on the decision-making of a setter is still very limited and scattered among performance analysis, ecological dynamics, and sensing technologies. A systematic literature review was conducted to integrate the findings on perceptual-cognitive elements, attack distribution patterns, and contextual constraints that determine the behavior of elite volleyball setters. A search was done in Scopus with the PRISMA 2020 guidelines and a Boolean query, resulting in 466 records. After eliminating duplicates, screening, and assessment of eligibility, only 10 articles were selected for qualitative synthesis and evaluated with the FICO framework (Focus, Information, Context, Outcome). The results showed that the setter's decision-making is most of the time dependent on the spatiotemporal relations between setters, attackers, and blockers. Under normal side-out situations the attack distribution is largely directed to the middle and wing attackers. The quality of the opponent has less influence than the team's offensive strategy, while setting behavior is largely determined by the rule and task constraints. The review demonstrates that setter decision-making is fundamentally constrained by spatiotemporal affordances emerging from setter-attacker-blocker interactions. Findings support an ecological-dynamics interpretation of tactical expertise and highlight opportunities for integrating wearable sensing, social-network analysis, and machine learning approaches into future volleyball performance research.

Beyond physical recovery: psychological readiness, well-being, and rehabilitation adherence following sports injuries in volleyball athletes Rudyanto Rudyanto; Heru Syarli Lesmana; Juanda Putra
Lentera Negeri Vol. 6 No. 2 (2025): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992330

Sports injuries are a frequent accompaniment to competitive volleyball; however, the mental consequences of these injuries are not as well examined as the biomechanical and epidemiological aspects. Previous research has mostly focused on the types of injuries and the results of physical rehabilitation, but the psychological recovery part is still scattered and lacks a comprehensive volleyball-specific review. Therefore, the current systematic review of the literature intended to compile evidence regarding psychological readiness to return to sport, emotional well-being, and adherence to rehabilitation after sports injuries among volleyball players. According to the PRISMA 2020 guidelines, a systematic search in the Scopus database was carried out, resulting in 856 records from 2020 to 2025. Eight studies, which after screening and evaluation for eligibility matched the inclusion criteria, were included in the thematic synthesis. Three interlinked aspects of psychological recovery were revealed. To begin with, the first aspect is the psychological readiness to return to sport (RTS) that showed a negative correlation with the presence of residual pain; and was also affected by the fear of movement/(re)injury i.e. kinesiophobia and self-concept as an athlete i.e. athletic identity. Besides, mood disturbances, increased arousal in competitive situations (competitive anxiety), changes in sleep patterns, impaired quality of life, and psychosocial dysfunctioning were among the negative effects of injury in general, with the most noticeable changes coming from season-ending injuries. The third finding, rehabilitation adherence was related to pain, social support, coping capacity, and self-efficacy. These results reinforce the biopsychosocial model of injury recovery and stress the necessity of implementing psychological screening and providing psychological support in the framework of rehabilitation programmes. The next research should focus on prospective studies, equal gender representation, and the use of standardised psychological assessment over the course of the volleyball injury continuum.

Physical and physiological demands of competitive badminton across performance levels, sex, and age: a systematic review (2020–2026) Eval Edmizal; Rezha Arzhan Hidayat; Rudyanto Rudyanto; Jeki Haryanto
Lentera Negeri Vol. 7 No. 1 (2026): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992550

The Scopus database was thoroughly searched by applying a Boolean search strategy that combined badminton, physical fitness, physiological demands, match analysis, and performance determinants related terms. Two reviewers independently screened titles, abstracts, and full texts and extracted the data, with disagreements resolved by a third reviewer, and the methodological quality of eligible studies was appraised using the FICO framework (Focus, Information, Context, Outcome). The thematic re-interpretation has uncovered four major areas of research: (1) the aerobic and anaerobic physiological profiling of players at different competitive levels; (2) biomechanical and neuromuscular features related to stroke mechanics and footwork; (3) training programs to increase explosive power, core stability, and agility; and (4) injury patterns and competition recovery monitoring. The results show that badminton performance stands on a complex interplay of a high-intensity intermittent exercise capacity, the ability of the lower limbs to generate explosive power, the velocity of the upper-body strokes, and the agility that is based on quick reactions. Training strategies incorporating plyometric, weight lifting, and balance exercises simultaneously have shown to have positive effects on performance consistently. Quantitatively, top-tier male players generally achieve a maximum oxygen uptake of around 55-68 mL/kg/min, on the other hand, integrated training involving plyometric, resistance, and balance exercises for 8-12 weeks led to the most stable improvements in the speed of smash and footwork. The review highlights that in the future research the use of standardized protocols for performance assessment and longitudinal study designs for monitoring should be adopted

Digital biomarkers for volleyball injury prediction: a systematic literature review Rudyanto Rudyanto; Frizki Amra; Ozha Wahyu Pra Adha; Abdur Rohim Fadlan
Lentera Negeri Vol. 6 No. 1 (2025): Lentera Negeri
Publisher : Indonesian Institute For Counseling, Education and Therapy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/992620

The increased physical requirements of top-level volleyball players, such as the numerous high-intensity jumps and the quick eccentric landings, have contributed to the rise of overuse injuries and made athlete-monitoring technologies more important. Digital biomarkers extracted from wearable biosensors combined with artificial intelligence (AI) provide a scalable method to measure internal and external load, describe fatigue, and predict injury even before the appearance of symptoms. This systematic literature review provides an overview of the use of wearable biosensing, machine learning, and injury prediction in volleyball, including the common grounds between sports-technology and sports-medicine research fields. Following PRISMA 2020 guidelines, a search of the Scopus database returned 386 records, which were further reduced to 10 after a series of eligibility assessments and exclusions. The results were grouped into three main categories: performance and load monitoring, injury prediction, and biosensing and digital biomarkers. Research shows that inertial measurement units (IMUs) are the most widely used instruments in volleyball. They allow for automated jump detection and jump-load quantification using deep learning techniques such as temporal convolutional networks. Besides, personalized machine-learning models give better results than group-level models for monitoring overuse injuries. Newly developed textile and biochemical biosensors can also detect physiological biomarkers like lactate, extending monitoring beyond mere kinematics. The methods used are highly varied and mainly consisting of supervised learning on small, sport-specific cohort. There is very little external validation and football-specific injury endpoints are scarce. A brief theoretical detour in the review interprets digital biomarkers as a unified concept that combines both biomechanical and physiological monitoring. In a more practical sense, the review provides coaches and clinicians with a well-structured description of sensor placement, modeling strategies, and levels of validation maturity. Future studies should encourage synergistic sensor use, prospective volleyball-specific injury cohorts, model interpretability and standardization of reporting in order to make predictive analytics the basis of trustworthy injury-prevention decisions.

Machine learning approaches for predicting mathematics achievement in k–12 education Nefrima Sartika Putri; Rudyanto Rudyanto
SCHOULID: Indonesian Journal of School Counseling Vol. 11 No. 1 (2026): SCHOULID: Indonesian Journal of School Counseling
Publisher : Indonesian Counselor Association (IKI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23916/086824011

Mathematics achievement during the K-12 years strongly shapes later educational and economic opportunity, making early identification of struggling learners a priority. Although numerous predictive models have been developed, previous findings remain fragmented regarding predictive algorithms, influential predictors, and educational implications. Therefore, this review systematically synthesizes methodological trends, predictive performance, and research gaps across K–12 mathematics education. Only studies meeting predefined methodological quality criteria were included. Therefore, this study conducts a PRISMA 2020-based systematic literature review to synthesize predictive methodologies, influential predictors, methodological quality, and educational implications across K–12 mathematics education. Although digital educational data have become increasingly available, previous predictive studies have produced inconsistent findings due to differences in datasets, machine learning algorithms, validation strategies, and educational contexts. Consequently, researchers still lack a comprehensive understanding of which predictive approaches consistently perform well across K–12 mathematics education. From 583 Scopus records, ten studies (2019, 2025) qualified based on eligibility and quality criteria and were synthesised thematically. Tree-based ensemble and boosting methods, which have been supported by administrative, large-scale-assessment, and digital-process data, are the primary means of prediction; prior attainment, socio-economic context, and self-regulated learning are the most significant predictors. Instead of accuracy-centred prediction, the field is moving toward explainable, fairness-aware, and pedagogically embedded analytics. The review charts a scattered evidence base and urges longitudinal, primary-grade, externally validated, and equity-focused research so that prediction can responsibly enhance mathematics learning.

Fatigue-induced alterations in jump-landing biomechanics and knee injury risk in volleyball Rudyanto Rudyanto; ifdil ifdil; Allysa Kholila Razak
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 10 No. 4 (2025): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/30036837000

Volleyball involves frequent jumping and landing actions that place substantial mechanical stress on the lower extremities, particularly the knee joint, thereby increasing the risk of anterior cruciate ligament (ACL) and other knee-related injuries. This systematic review aimed to synthesize current evidence regarding biomechanical risk factors, fatigue-related alterations, neuromuscular control deficits, and preventive interventions associated with knee injury risk during volleyball jump-landing activities. A systematic literature search was conducted in the Scopus database following PRISMA 2020 guidelines. Ten studies published between 2020 and 2025 met the inclusion criteria and were included in the review. The findings showed that fatigue-induced biomechanical alterations, particularly increased dynamic knee valgus and reduced neuromuscular control, were the most frequently reported risk factors associated with knee injury mechanisms during volleyball jump-landing tasks. Evidence further indicated that neuromuscular training, dynamic taping, feedback-based interventions, and Pilates conditioning effectively improved landing mechanics and reduced injury risk indicators. Overall, knee injury risk in volleyball appears to be multifactorial, involving biomechanical, neuromuscular, cognitive, and fatigue-related mechanisms. These findings support the implementation of multidimensional injury-prevention programs and provide direction for future volleyball-specific biomechanical research.

Digital twin applications in athlete performance monitoring, biomechanical analysis, and injury prevention: implications for volleybal Rudyanto Rudyanto; Vega Soniawan; Anisa Sholiha Mia
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 11 No. 1 (2026): JRTI (Jurnal Riset Tindakan Indonesia)
Publisher : IICET (Indonesian Institute for Counseling, Education and Therapy)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/30036843000

Linking cyber-physical systems with top-level sports performance has presented digital twin (DT) as a competent instrument for optimizing athlete's performance and injury prevention. The current systematic literature review investigates how DTs have been applied in volleyball and other related sports. Using the PRISMA 2020 checklist, a search for relevant articles in Scopus and other databases resulted in 641 items dated 2020-2026. After exclusion of non-related articles and unscreened evaluation, only 8 papers were found to be suitable for the study. The outcomes highlighted three broad themes: (1) DT models for real-time injury risk prediction and biomechanical tracking, (2) individualized training and rehabilitation systems facilitating better load management and skill acquisition, and (3) comprehensive DT systems that use physiological, psychological and nutritional data to support the athlete more effectively. The bulk of the articles appeared post-2022, suggesting a quick increase of this research domain. In essence, DT technology seems highly capable of helping evidence-based coaching, athlete monitoring and injury prevention. However, more validation is still needed, particularly for cases coming from volleyball-specific situations.

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