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Pengaruh Aktivitas Sosial Media Terhadap Kesadaran Brand dan Loyalitas Brand Olahraga Eko Purnomo; Susanne Dida; Yanti Setianti; Firunika Intan Cahyani; M. Arie Desman
Jurnal Patriot Vol 4 No 4 (2022): Jurnal Patriot
Publisher : Jurusan Kepelatihan, Fakultas Ilmu Keolahragaan, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/patriot.v4i4.885

Abstract

Tujuan penelitian ini adalah untuk mengetahui hubungan aktifitas sosial media terhadap kesadaran brand dan loyalitas brand. Metode penelitian menggunakan kuantitatif dengan pendekatan korelasional. Sampel diambil dengan non-probabilitas jenis snowball. Oleh karena itu diperoleh responden sebanyak 154, yang merupakan mahasiswa Jurusan Kepelatihan FIK UNP. Hasil penelitian menjelaskan bahwa terdapat sebuah hubungan antara aktifitas sosial media terhadap kesadaran brand dan loyalitas brand. Hasil penelitian ini memberikan sebuah implikasi penting untuk dijelaskan bahwa penggunaan sosial media merupakan pengaruh penting untuk meningkatkan kesadaran dan juga loyalitas seseorang terhadap brand. Penelitian ini hanya sebatas mengetahui hubungan fitas sosial media terhadap kesadaran brand dan loyalitas brand dengan menggunakan angket sebagai alat ukurnya. Sehingga sangat direkomendasikan untuk masa depan dapat dilakukan penelitian lebih mendalam seperti studi kasus untuk mengetahui dan memperdalam hasil temuan yang diperoleh.
Effects of table tennis participation on balance and postural control in older adults: a systematic literature review Jeki Haryanto; Dally Rahman; M. Arie Desman
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: 10.29210/992400

Abstract

It is known that the ability to balance and the control of one's posture tend to worsen as we get older, and as a result, the likelihood of falling, becoming less mobile, and ultimately, losing one's independence increases. Exercise programs that combine physical and mental challenges are now being advised to encourage healthy aging. Table tennis, a sport with a racket but involving low movement, that demands quickness, reflexes, hand-eye coordination, and also a certain degree of balance, has been considered an activity suitable for the elderly; however, the results of its effects are still in pieces. This systematic review was conducted to determine how table tennis impacts balance and postural control as well as other functional outcomes in the elderly. A Scopus search in line with the PRISMA 2020 guidelines yielded 661 records. Screening of titles and abstracts led to the exclusion of 614 articles and after full-text assessment of 47 articles, 40 were excluded leaving seven studies for the eligibility criteria. The studies that were included in this review demonstrated that table tennis, whether as a separate practice, part of multicomponent or exergame programmes, or through the players accumulated playing experience, was associated with improvements in both static and dynamic balance, lessened postural sway, quicker reaction time, better single-leg stance performance, and greater functional mobility. Other advantages were improved sensorimotor connectivity, better quality of life, and increased antioxidant levels. Though the studies reviewed were small in number and diverse in methodology, the results show that table tennis is a highly effective, low-risk way of helping older adults maintain their balance and postural control.
Artificial intelligence, algorithmic governance, and social inequality in sport: a systematic literature review Anisa Sholiha Mia; Ardo Okilanda; M. Arie Desman
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: 10.29210/992680

Abstract

The accelerating integration of artificial intelligence (AI) and algorithmic decision systems into scouting, officiating, health monitoring, classification, and media representation has transformed athlete evaluation and governance, yet their implications for historically marginalised groups remain fragmented across disciplines. This systematic literature review examines how AI and algorithmic governance intersect with social inequality in sport, focusing on gender, race and ethnicity, disability and Para-sport, inclusion, accessibility, participation, and athlete rights. Following PRISMA 2020, a Scopus search identified 790 records; after screening and eligibility assessment, 10 studies met the inclusion criteria, with 50 additional sources providing contextual evidence. Eligible studies were English-language peer-reviewed articles and reviews published between 2016 and 2026. Two independent reviewers conducted screening and data extraction, achieving high inter-rater reliability (Cohen's κ = 0.86). Inductive thematic synthesis addressed how algorithmic governance shapes equity, reproduces bias, and informs governance responses. Four themes emerged: algorithmic talent identification may reinforce digital determinism and disadvantage under-represented athletes; AI-based health monitoring raises concerns regarding consent, autonomy, and sensitive data governance; machine-learning applications in Para-sport improve classification but remain constrained by limited datasets; and computational analyses reveal both discrimination and AI's capacity to detect it. The review proposes an equity-oriented framework and highlights priorities for explainable, auditable, participatory, and inclusive AI governance in sport.
Social inclusion, equity, and access in sport participation among marginalized communities: a systematic literature review (2022–2025) Anisa Sholiha Mia; Ardo Okilanda; M. Arie Desman
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: 10.29210/992740

Abstract

This study employed a systematic literature review (SLR) following the PRISMA 2020 guidelines. A thematic synthesis approach based on Thomas and Harden (2008) was used to integrate findings across studies. Two independent reviewers performed study screening and quality appraisal using the FICO framework, with disagreements resolved through discussion to ensure methodological consistency. We followed the PRISMA 2020 guidelines. A structured search on Scopus gave us 1, 281 records published between 2022 and 2025. We removed three duplicates and screened the remaining 1, 278 titles and abstracts. That led to 72 full-text articles that we assessed. Ten of those made it into our qualitative synthesis. The included studies represented diverse marginalized populations, including people with disabilities, ethnic minorities, LGBTQ+ individuals, refugees, socioeconomically disadvantaged communities, women, and older adults. We appraised study quality using the FICO framework and analyzed the data through thematic synthesis. Three themes emerged. First, barriers are multidimensional. They span structural, economic, spatial, cultural, and interpersonal factors. Second, the benefits of sport depend on prior inclusion. Sport tends to reflect social integration rather than create it. Third, inclusion policies can unintentionally reinforce inequalities because they often rest on assimilationist ideas. Pulling together perspectives from social inclusion, social capital, intersectionality, capability, and social-ecology, the review highlights the need for equity-focused, intersectional, community-driven approaches. Looking ahead, research should prioritize longitudinal studies, intersectional analyses, work from the Global South, and community-led projects.
Large language models for personalized feedback and communicative skills in english learning: a systematic review Kristian Burhan; M. Arie Desman
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: 10.29210/993470

Abstract

Artificial intelligence is increasingly embedded in English language learning, but evidence on generative AI and large language models (LLMs) remains fragmented across skills, learner groups, and tool designs. This systematic review synthesized evidence on personalized learning, automated feedback, speaking, writing, vocabulary, assessment, English for specific purposes (ESP), and physical education. Reporting followed PRISMA 2020. Scopus, PubMed, and ScienceDirect returned 403 records; 14 duplicates were removed, 389 were screened, 54 reports were sought, 48 full texts were assessed, and 17 studies were included. The corpus spanned experimental, quasi-experimental, comparative, mixed-methods, qualitative, survey, review, and system-development designs. Where reported, participant samples included 40 undergraduates, 79 graduate students, and 327 primary pupils, while several design and qualitative studies did not report a single numeric sample. Narrative/thematic synthesis identified four themes: feedback and writing support; speaking and personalized tutoring; changing learner-teacher roles; and affective and ethical conditions. The evidence is recent and heterogeneous, limiting quantitative pooling. FICO was used as an internal appraisal rubric; reviewer-level logs were not retained, so Cohen’s kappa and aggregate FICO scores were not reconstructed retrospectively. Future research should prioritize controlled longitudinal designs, validated outcome measures, transparent reporting, data privacy, and under-represented ESP and sport-science populations.
Performance optimization and injury prevention in floorball: a systematic literature review of biomechanical, physiological, and technological evidence Ardo Okilanda; Ifdil Ifdil; Rudyanto Rudyanto; M. Arie Desman
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: 10.29210/993490

Abstract

Floorball is a fast, multidirectional indoor team sport in which performance and injury risk emerge from interacting tactical, biomechanical, neuromuscular, physiological, and monitoring factors. This systematic review synthesised evidence from 2005–2026 across three linked domains: performance determinants, injury risk and prevention, and technologies for monitoring and prediction. PRISMA 2020 guided the review, and Scopus was used as the primary information source because it spans sport science, biomechanics, and engineering literature. The search identified 63 records; 30 full texts were assessed and 10 empirical studies were included: five prospective/longitudinal, three cross-sectional, one observational match-analysis, and one intervention-plus-modelling study. Thematic synthesis identified three evidence clusters. Performance was associated with tactical decision-making, shooting coordination, reactive lower-limb strength, directional-speed symmetry, and load-sensitive psychophysiological state. Injury evidence centred on ACL-related landing and neuromuscular-control factors, but no single screen consistently predicted future injury. Emerging technologies included wearables, velocity-based training, machine learning, and automated tracking, with modest individual-level predictive validity. The review therefore proposes a hypothesis-generating monitoring-informed framework that links performance and injury domains while requiring larger prospective cohorts, external validation, stronger female- and youth-specific evidence, and replication across databases.
AI, computer vision, and sensor-based assessment of psychological states in tennis: a systematic review Andre Igoresky; Ifdil Ifdil; M. Arie Desman
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: 10.29210/993500

Abstract

This review examined how wearable sensors, computer vision, and artificial intelligence (AI) measure or infer psychological states in tennis and racket sports. Outcomes included competitive stress, anxiety, mental fatigue, cognitive or attentional states, recovery, and flow or “zone” experiences. Computer-vision studies were treated as behavioural proxies unless a psychological target was reported. Reporting followed PRISMA 2020. A Scopus search identified 253 records from 2015–2025; 43 texts were assessed, and 10 studies met the criteria. Eligible studies involved racket-sport athletes, psychological/affective constructs or behavioural proxies, and digital sensing or computational modalities. Approaches included physiological, EEG, inertial, computer-vision, and multimodal methods. Findings indicate overall feasibility, but performance was not comparable because constructs, labels, samples, settings, and validation procedures differed. No external-validation dataset was identified. Cohen’s kappa could not be reconstructed, and FICO was an internal appraisal rubric. Priorities include longitudinal field validation, standardized labeling, psychometric anchoring, explainable models, and privacy-preserving data governance.
Cognitive performance determinants in competitive fencing: a systematic review Ade Zalindro; Rudyanto Rudyanto; M. Arie Desman
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: 10.29210/30036944000

Abstract

Competitive fencing is an open-skill combat sport in which perception, anticipation, decision-making, and action occur under severe temporal pressure. This review synthesised evidence on cognitive performance determinants in fencing, with emphasis on sport-specific anticipation and visual attention, reaction and response selection, and trainability. A structured Scopus search was conducted in accordance with PRISMA 2020 and identified 403 records; 15 duplicates were removed, 388 titles and abstracts were screened, 70 full texts were assessed, and 18 studies were included. Eligibility was defined using a PICOS framework, and study quality and relevance were appraised with a prespecified four-domain FICO rubric (Focus, Information, Context, Outcome). Because the included studies used heterogeneous designs and non-comparable outcome operationalisations, evidence was synthesised narratively and thematically following the Thomas and Harden approach rather than quantitatively pooled. The evidence indicates that expertise is expressed primarily through sport-specific anticipation, weapon-dependent visual search, and efficient response selection and inhibition, whereas generic simple reaction time is less discriminative. Training interventions improved attention or broader cognitive function, but transfer to isolated reaction-time outcomes was inconsistent. The current screening record does not contain a reproducible inter-rater agreement statistic; accordingly, no Cohen's kappa value is reported without verification. Larger longitudinal studies, standardised fencing-specific measures, and ecologically valid designs are needed.
Large language models for english learning and writing: a systematic review for sport sciences Kristian Burhan; M. Arie Desman
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: 10.29210/30036949000

Abstract

This systematic review synthesized empirical evidence on large language models (LLMs) and generative AI for English-language learning, assessment, and academic writing, with implications for English for specific purposes (ESP) in sport sciences. Following PRISMA 2020, a structured Scopus TITLE-ABS-KEY search identified 871 records; 50 peer-reviewed journal studies published between 2024 and 2026 met the eligibility criteria. Studies were synthesized using a three-stage thematic approach based on coding, descriptive themes, and analytical themes. Methodological reporting and applicability were appraised using a transparent four-domain FICO rubric. Screening was conducted by one reviewer; therefore, inter-rater reliability statistics were not calculable retrospectively. Four analytical clusters were identified: language-skills learning (8 studies), assessment and evaluation (8), academic writing and feedback (30), and adoption, perception, and learner agency (4). Evidence generally favoured structured, teacher-mediated GenAI use, while LLM assessment showed high reliability in some rubric-based tasks but variable validity. GenAI was most consistently useful for feedback, revision, and self-regulated learning. Because designs and outcomes were heterogeneous, no pooled effect size was calculated. Future research should prioritise discipline-specific ESP studies, longitudinal designs, transparent validation, and responsible AI integration.
AI, computer vision, and wearable sensing for psychological monitoring in racket sports: a systematic review Andre Igoresky; Ifdil Ifdil; M. Arie Desman; Rudyanto Rudyanto
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: 10.29210/30036951000

Abstract

This systematic literature review examined how computer vision, wearable sensing, and multimodal artificial intelligence (AI) are used to infer psychological, affective, and behavioural states in tennis and related racket sports. Target constructs included the zone or flow-like states, emotion, stress, attention-related behaviour, and psychologically relevant performance states. Behavioural and perceptual studies were treated as indirect evidence when they supplied a plausible observable proxy rather than a validated psychological measure. Reporting followed PRISMA 2020. A structured Scopus search identified 309 records published from 2015 to 2025; 41 full texts were assessed and 10 studies met the archived eligibility criteria. Eligible studies were English-language peer-reviewed articles involving racket-sport contexts and digital sensing or computational methods with a behavioural, affective, or psychological target. Comparator conditions were extracted when reported but were not required for inclusion. The synthesis used descriptive and thematic analysis because constructs, labels, samples, settings, and performance metrics were heterogeneous. Multimodal approaches showed advantages in the few studies with direct modality comparisons, while naturalistic tennis affect recognition reached 68.9% accuracy in one match-footage study. However, no common external-validation benchmark was identified. Reviewer-level screening logs were not retained, so Cohen’s kappa cannot be reconstructed retrospectively; FICO was used as an internal appraisal rubric, not a validated risk-of-bias tool. Future work should prioritize naturalistic datasets, psychometric anchoring, subject-independent validation, transparent models, and privacy-preserving governance.