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All Journal KUKILA Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Patriot English Language and Literature Journal Jurnal Gladiator Lentera Negeri SCHOULID: Indonesian Journal of School Counseling JRTI (Jurnal Riset Tindakan Indonesia) Journal of Educational and Learning Studies
- Rudyanto
Universitas Negeri Padang
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Psychological readiness for return to sport after musculoskeletal injury in volleyball players: a systematic literature review Rudyanto Rudyanto; Eval Edmizal; Jeki Haryanto
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: 10.29210/30036855000

Abstract

Volleyball injury can be considered as one of the inherent risks of the game as it is a high-impact jumping sport with the knee, ankle and shoulder being the main parts of the body exposed to the heavy load repeatedly. The period after the physical recovery from injury is also being understood as a psychological issue along with a biomechanical one. Researches on physical recovery have been done extensively but only a few studies have attempted to explore the psychological aspect especially the confidence of an athlete to resume the competition after injury in volleyball populations. This systematic literature review was conducted to gather and analyze the existing evidence on psychological readiness to return to sport following injury among volleyball players and, also, in the larger population of injured athletes who are relevant to volleyball. The review followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) paper. Scopus database was the main source of information, and a Boolean strategy was applied to combine terms for volleyball, injury, psychological readiness and return to sport in the title, abstract and keyword fields. The search returned 783 records; after eliminating 11 duplicates, 772 records were screened, 69 full texts were assessed for eligibility, and 10 studies met all inclusion criteria. Four major thematic findings are as follows: psychological readiness is a quantifiable, multi-dimensional factor with confidence and fear of re-injury being the most dominant two elements; readiness has a consistent negative correlation with pain, kinesiophobia and second-injury risk; protective psychological resources such as mental toughness, athletic identity and adaptive achievement goals can influence the recovery trajectory; and criterion-based assessment which is validated is increasingly incorporating psychological along with functional testing. Theoretically, these findings substantiate the biopsychosocial model of the return to sport; practically, they are in support of the regular, sport-specific evaluation of readiness by coaches and rehabilitation teams. We recommend future research to focus on prospective, volleyball-specific cohorts, designs that are longitudinal, and the use of wearable devices combined with psychological assessment to enhance the precision of return-to-sport decision-making.
Psychological health in competitive volleyball players: a systematic review of stress, competitive anxiety, and well-being Rudyanto Rudyanto; Andre Igoresky; Ardo Okilanda
JRTI (Jurnal Riset Tindakan Indonesia) Vol. 10 No. 3 (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: 10.29210/30036856000

Abstract

Competitive volleyball certainly involves rigorous training schedules and no shortage of competitions, which put heavy psychological demands on players. Still, when one considers the psychological health of volleyball players, little has been done in comparison to the physical and technical performance aspects. This systematic review has two objectives: 1) to summarize research on psychological stress, competitive anxiety, and psychological well-being of competitive volleyball players, and 2) to explore ways of assessment, factors influencing, and intervention of these psychological states. Using the latest version of PRISMA guidelines for conducting systematic reviews, the records retrieved are 721 in total. With the removal of three duplicates, 718 studies were screened. 72 full-text studies were assessed, and finally, 10 studies met the inclusion criteria and were included in qualitative synthesis. Four major themes were identified. First, higher levels of perceived stress and training-load strain were linked to poorer recovery and lower well-being. Second, anxiety related to competition and the period just before the competition was sensitive to changes resulting from psychophysiological measures and neuromodulatory interventions. Third, sleep quality and personal well-being reflected important indicators of injury risk and mental-health status. Fourth, internal motivational resources, social support, and resilience were the factors that strengthened the athletes' capacity to handle stress and anxiety. These results provide support for existing theoretical models of athlete stress and point out the significance of ongoing psychological assessment and tailored mental-health assistance in volleyball programs. Further studies should concentrate on longitudinal and experimental research studying the associations among psychological variables, performance, and athlete well-being.
Artificial intelligence enabled wearable technologies in beach volleyball: a systematic literature review of current evidence, research gaps, and future directions Rudyanto Rudyanto; Eval Edmizal; Jeki Haryanto
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: 10.29210/30036870000

Abstract

The fusion of artificial intelligence (AI) and wearable technology has transformed athlete monitoring, yet evidence in volleyball, particularly beach volleyball, remains fragmented across engineering, computer science, and sports medicine. This systematic literature review (SLR) synthesized peer-reviewed studies on AI-enabled wearable devices for volleyball performance, training load, and injury monitoring, emphasizing the applicability of indoor volleyball findings to beach volleyball. Following PRISMA 2020 guidelines, two independent reviewers conducted study selection and data extraction, achieving excellent inter-rater reliability (Cohen's κ = 0.87). Methodological quality was assessed using the JBI Critical Appraisal Checklist, and findings were synthesized thematically. A Scopus search identified 102 records; after duplicate removal and screening, 10 studies met the eligibility criteria. Eligible studies were English-language journal articles published between 2018 and 2025 involving wearable sensing and computational or machine-learning applications in volleyball. Four themes emerged: deep learning combined with inertial measurement units accurately recognized volleyball activities and jump types; wearable-derived training load predicted injury risk and performance using personalized algorithms; sensor-based skill assessment was validated mainly indoors; and beach-specific technologies remained limited, except for environmental monitoring. Overall, AI-enabled wearable systems demonstrated high recognition accuracy, but evidence for external validation and beach-specific applications remains scarce. This review provides the first beach-oriented roadmap for future research on wearable AI in volleyball.
Digital surveillance and athlete privacy in elite sport: a prisma 2020-based systematic literature review Anisa Sholiha Mia; Ifdil Ifdil; Rudyanto Rudyanto
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: 10.29210/992690

Abstract

Rapid adoption of wearable sensors, biometric monitoring and AI has dramatically changed the athlete monitoring scene in high-level sports, with performance maximisation and injury prevention significantly improved alongside emergence of privacy, autonomy and data governance-related issues. This systematic literature review combines the latest research on the digital surveillance aspect and athlete privacy in top sports and high-performance sport while particularly examining the ethical, legal and governance effects of data-driven monitoring. The review method strictly followed PRISMA 2020 guidelines. Initially 748 research records found on a Scopus database with a structured search and after the screening process, 10 peer-reviewed publications satisfied all inclusion criteria. The articles selected for the review covered the topics of monitoring via surveillance, privacy, consent, autonomy or governance issues. Thematic synthesis uncovered three key areas: First, through extensive data collection, continuous biometric and location monitoring has enabled the organization to exercise a great amount of control over the athletes. Second, due to the employment dependence and high-level pressure of athlete competition, the athletes' free will is highly limited and even the athletes' privacy in terms of information they can provide or know about their data is very limited. Third and finally, privacy-preserving technologies, data co-ownership, data sovereignty frameworks and similar governance tools are still in rudimentary states and not able to follow the speed of development of the technology. Besides being the review paper on technology-aided monitoring in sports, this paper relates the changes within sports to the general theory around how our lives become data-centric and our activities are watched. Also, it underscores the importance of procedures for obtaining valid consent, limitation of data collection and use to specific purposes and having external auditors or authorities to carry out independent checkups or oversight. Research is urged to focus on producing athlete-centred evidence, examining different governing models, comparing regulations in different countries and helping to establish the ethical digital monitoring for elite sports.
Climate change, environmental justice, and socioeconomic inequalities in sport: a systematic literature review of research published between 2020 and 2025 Anisa Sholiha Mia; Kristian Burhan; Rudyanto Rudyanto
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: 10.29210/992730

Abstract

This systematic literature review summarises the evidence regarding the relationships between climate change, environmental justice, and inequality as regards organised sport, physical activity, and sport governance. A Scopus database of papers was built using a structured search and following the PRISMA 2020 guidance. Two independent reviewers conducted study screening and data extraction, achieving substantial agreement (Cohen's κ = 0.86). Methodological quality was assessed using the FICO framework, and findings were synthesized through thematic synthesis following Thomas and Harden. The search covered publications indexed in Scopus between January 2020 and March 2025.Altogether, 965 records were identified, 10 of which were eventually selected through screening and eligibility. Three different categories have appeared. Climate change effects such as extremely hot weather and the disappearance of winter sport opportunities are first on the list of the most severe and devastating ones. That is, the poorest countries, small island states, and disadvantaged people suffer the most as these communities have little or no possibility to protect themselves. Secondly, the sports governing bodies and other initiatives that pursue a sustainable development path, such as the Sustainable Development Goals or the Environmental, Social and Governance practices, will reproduce unjust distributions and procedural and recognition disparities if they do not take equity as a key issue explicitly. Third, unequal access to a variety of sporting facilities, green parks as well as clean and safe public places further worsens the disparity of people's health outcomes and sporting participation. The paper draws upon sport ecology, environmental sociology, and the capability approach as theoretical frameworks. In the closing remark, the authors point out major avenues for equitable adaptation, planning of inclusive sporting facilities, a just sports system, all of which can be further explored in Global South and other intersectional settings.
Virtual and augmented reality applications in sport and physical education learning: systematic literature review (2021–2026) Kristian Burhan; Ifdil Ifdil; Rudyanto Rudyanto
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: 10.29210/992970

Abstract

Immersive technologies are becoming popular tools in sport and physical education. But the evidence for their teaching effectiveness is scattered across many fields. This systematic review looked at the design, implementation, effectiveness, and moderating factors of VR, AR, MR, and XR interventions in this area. The review followed PRISMA 2020 guidelines with a predefined protocol. We searched only Scopus because of its wide coverage and standardized metadata. That helped make the search transparent and reproducible. The search found 403 records. After removing duplicates and screening, 18 studies met the criteria. Two reviewers independently handled selection and data extraction. Their agreement was excellent, with Cohen's κ = 0.87. Methodological quality was checked using the Mixed Methods Appraisal Tool (MMAT 2018). Both reviewers did thematic synthesis separately before reaching consensus. Four main themes came out: (1) tactical and cognitive learning, (2) motor skill acquisition through augmented feedback, (3) curricular integration of immersive technologies, and (4) communication, socialization, and inclusion. Overall, these technologies boosted learner engagement, real-time feedback, motor skills, and tactical understanding. But their effectiveness depended on learner expertise, visuospatial ability, instructional design, and teacher competence. Still, using only Scopus and excluding grey literature might have caused publication bias and limited the evidence. Future work should focus on longitudinal studies, transfer of learning to real sport performance, and strong comparative trials across different educational settings.
Co-Authors Abdur Rohim Fadlan Ade Zalindro Alfarozi, M Allysa Kholila Razak Andre Igoresky Anisa Sholiha Mia Anisa Sholiha Mia Apsari Fajar Prifantini Ardo, Okilanda Arwandi, John Bram Sujadesman D Goulding Edmizal, Eval Febrian, Mario Febriansyah Febriansyah hadi Frizki Amra Habib Husen Alqadri HERNOMO ONTOSENO KUSUMOBROTO Ifdil Ifdil Ikhwanul Arifan Iswan Abbas Nusi Jeki Haryanto Juanda Putra Khairoh, Jannatul Kristian Burhan Lesmana, Heru Syarli M Indrawan M. Arie Desman Masrun Masrun Muliyana, Nana Naluri Denay Nasri, Teguh Nefrima Sartika Putri Nefrima Sartika Putri Ozha Wahyu Pra Adha P Collins Pangestu Adi Poernomo Boedi Setiawan Rezha Arzhan Hidayat Riri Chairiah Roma Irawan Ronald Aditya Putra Ronni Yenes Sari Mariati Siti Nur Hidayah sucita farhana Ummi Maimunah Vega Soniawan Yendrizal Yendrizal Yendrizal, Yendrizal Yogi Arnaldo Putra yogi setiawan