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All Journal Competitor : Jurnal Pendidikan Kepelatihan Olahraga Jurnal Terapan Ilmu Keolahragaan JOURNAL SPORT AREA Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan SATRIA : Journal of Sports Athleticism in Teaching and Recreation on Interdisciplinary Analysis Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Jambura Journal of Sports Coaching Jurnal Ilmiah Mandala Education (JIME) JURNAL ILMU KEOLAHRAGAAN JURNAL PENA EDUKASI Jurnal Performa Olahraga Jurnal Sporta Saintika Riyadhoh : Jurnal Pendidikan Olahraga Diklat Review : Jurnal manajemen pendidikan dan pelatihan Abdi Masyarakat Journal of SPORT (Sport, Physical Education, Organization, Recreation, and Training) Jurnal Maenpo : Jurnal Pendidikan Jasmani Kesehatan dan Rekreasi Multilateral: Jurnal Pendidikan Jasmani Dan Olahraga JSES : Journal of Sport and Exercise Science Journal of Sport Coaching and Physical Education SPRINTER: Jurnal Ilmu Olahraga STAND : Journal Sports Teaching and Development JUMANTIK (Scientific Journal of Health research) JURNAL PENELITIAN BIDANG PENDIDIKAN JOI Sportify Journal Civic-Culture: Jurnal Ilmu Pendidikan PKn dan Sosial Budaya Proceeding International Conference on Digital Education and Social Science
Hidayatullah, Fajar
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Artificial Intelligence Driven Wearable Sensor Data Sports Injury Risk Prediction Athletes: A Systematic Review Akhmad, Noor; Hidayatullah, Fajar; Muhaimin, Ali; Hardovi, Bahtiar Hari
Sportify Journal Vol. 6 No. 2 (2026): Desember
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/sj.v6i2.5681

Abstract

Sports injury risk prediction using wearable sensor data and artificial intelligence has become increasingly relevant in athlete monitoring, yet the available evidence remains fragmented across sensor modalities, machine learning models, injury definitions, validation strategies, and implementation contexts. This study aimed to synthesize current evidence on artificial intelligence-driven wearable sensor data for sports injury risk prediction among athletes and to develop an integrative evaluation framework. A systematic literature review was conducted using Scopus as the main database, guided by the PRISMA flow and the PIOS framework. The initial search identified 136 records; all records were screened based on title, abstract, and metadata; 31 reports were assessed for eligibility; and 29 studies were included in the main extraction matrix. The data were analyzed using thematic synthesis with a narrative-integrative approach. The synthesis showed that injury risk was operationalized through biomechanical indicators, neuromuscular activation, physiological fatigue, movement quality, and training-load exposure. The dominant technologies included inertial measurement units, accelerometers, global positioning systems, electromyography sensors, wearable insoles, stretch sensors, heart-rate-related devices, and multimodal sensor systems. The applied models included logistic regression, random forest, support vector machine, XGBoost, long short-term memory, Transformer, temporal convolutional network–Transformer, spatial-temporal graph convolutional network, and multimodal fusion models. This review concludes that artificial intelligence and wearable sensor-based injury prediction should be evaluated as an integrated system connecting sensors, features, models, outcomes, validation, and implementation readiness.
Analisis Biomekanika dan Sistem Gerak Quick Jump Stop Shoot dalam Permainan Bola Basket Hidayatullah, Fajar
Sportify Journal Vol. 4 No. 2 (2024): December
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/sj.v4i2.2726

Abstract

Penelitian ini bertujuan untuk menganalisis biomekanika dan sistem gerak yang terlibat dalam teknik quick jump stop shoot dalam permainan bola basket. Teknik ini memerlukan keterlibatan hukum gerak Newton dan koordinasi yang tepat antara keterampilan motorik kasar dan halus untuk menghasilkan tembakan yang akurat. Penelitian ini menggunakan metode deskriptif kualitatif, di mana video gerakan quick jump stop shoot yang dilakukan oleh atlet NBA, Ray Allen, dianalisis menggunakan aplikasi Kinovea. Hasil penelitian menunjukkan bahwa ketiga hukum gerak Newton—Hukum I, Hukum II, dan Hukum III—memainkan peran penting dalam setiap tahap gerakan, mulai dari pergerakan bola yang dimulai dari keadaan diam hingga peluncuran bola. Selain itu, keterampilan motorik kasar, seperti penggunaan kaki untuk stabilitas tubuh, serta keterampilan motorik halus, seperti kontrol tangan untuk mengarahkan bola, bekerja bersama untuk menciptakan tembakan yang efektif. Pemahaman yang mendalam mengenai biomekanika ini sangat penting untuk meningkatkan teknik tembakan dan mengurangi risiko cedera. Penelitian ini juga menekankan pentingnya faktor psikologis, seperti kemampuan untuk mempertahankan fokus visual (quiet eye), yang meningkatkan ketepatan tembakan. Dengan demikian, penelitian ini memberikan wawasan yang berguna bagi pelatih dan atlet untuk meningkatkan performa dalam permainan bola basket. Biomechanical Analysis and Motion System of the Quick Jump Stop Shoot in Basketball Abstract This study aims to analyze the biomechanics and motion system involved in the quick jump stop shoot technique in basketball. This technique requires the involvement of Newton's laws of motion and precise coordination between gross and fine motor skills to achieve an accurate shot. The study employs a descriptive qualitative method, where a video of the quick jump stop shoot movement performed by NBA athlete Ray Allen was analyzed using the Kinovea application. The results show that all three of Newton's laws—Law I, Law II, and Law III—play significant roles in each stage of the movement, from the ball's initial motion from rest to its launch. Additionally, gross motor skills, such as the use of the legs for body stability, and fine motor skills, such as hand control for directing the ball, work together to produce an effective shot. A deeper understanding of biomechanics is essential for improving shooting techniques and reducing injury risks. The study also highlights the importance of psychological factors, such as the ability to maintain visual focus (quiet eye), which enhances shot accuracy. Therefore, this study provides valuable insights for coaches and athletes to improve performance in basketball.
Co-Authors Abdillah Hidayat, Rifky Achmad Ghazali Adipurwanto, Setiyo Agus Himawan Agus Himawan Ahmadun, Ahmadun Akhmad, Noor Aldi Khoirul Hudan Alvira Dara Agastya Ardi, Rahardian Kurnia Ardiansyah, Bahtiar Bahri, Muhammad Faisol Choirul Anam AM Diponegoro Dana Kurniawan Desty Suci Dwi Putri Elma Safitri Faizah, Nor Fajar Hamdhan Utama Fitriatul Hasanah, Fitriatul Fuadana, Akhmad Zakky Handayani, Heni Yuli Hardovi, Bahtiar Hari Haryo Mukti Widodo Haryo Mukti Widodo Heni Yuli Handayani Heni Yuli Handayani Ika Dita Agustina Imam . Irfan Irfan Ismiatin Ismiatin Izah, Badi’ul Jamaluddin Imamy Jubri, Jubri Kanza, Nabil Santia Khoirul Anwar Khoirul Anwar KHOIRUL ANWAR Khozanah Ilmah, Nur Kiswah, Kiswah Megalini, Farida Misbahul, Misbahul Moh Alif Rizkiyanto Moh Cholili Muhaimin, Ali Muhammad Zulkifli, Muhammad Muharram, Ari Akhirul Mukti Widodo, Haryo Nashrullah, Ach. Na’afisari, Intania Nisa, Hoirun Pristiwanto, Teguh Ricky Purwoto, Septyaningrum Putri Putra, Freanza Diaz Mahesa Putri Purwoto, Septyaningrum Putri, Melly Nur Aulia Raden Mohamad Herdian Bhakti Rahardian Kurnia Ardi Rahman, Dimas Nur Ramadhany, M Rendy Dwi Rizki Maulana Hasani Rizky Mulyana Mahfud Rosihandika, Muhammad Rusdiana, Ariska Ruski Ruski Ruski Ruski Ruski, Ruski Sari, Aulia Perwira Septyaningrum Putri Purwoto Setiawan, Fadibah Shufi, Darus Sukamto, Ika Sumiyarsi Tiazari Cindiantika Fitri Utami, Tri Setyo Veron, Moh. Shabril Umar Subachtiar Wahyuni, Ani Widodo, Haryo Mukti Yuli Handayani, Heni Zahid Zahid