Evaluasi Keterampilan Dasar Olahraga Berbasis AI: Sebuah SLR Mengenai Keterbaruan Metodologi Pembelajaran Renang dan Futsal dalam Bingkai Keberlanjutan SDGs
Keywords:
Artificial Intelligence, Evaluasi Olahraga, Futsal, Pedagogi, RenangAbstract
Di era transformasi digital saat ini, penguasaan keterampilan literasi fisik dan teknis seperti renang dan futsal menjadi kompetensi vital yang memerlukan strategi pengajaran inovatif, kreatif, dan adaptif berbasis teknologi. Penelitian ini dilatarbelakangi oleh urgensi evaluasi metodologi pembelajaran jasmani yang selama ini cenderung konvensional, di mana integrasi Artificial Intelligence (AI) dapat mengoptimalkan pemantauan kondisi fisik dan profil psikologis atlet secara real-time. Fokus utama kajian adalah mengevaluasi bagaimana perangkat cerdas memengaruhi pengembangan domain kognitif dan psikomotorik siswa, serta dampaknya terhadap efisiensi gerak. Tujuan penelitian ini adalah melakukan tinjauan sistematis terhadap keterbaruan metodologi evaluasi olahraga berbasis AI guna mendukung target Sustainable Development Goals (SDGs), khususnya pendidikan berkualitas dan kesehatan global. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan menganalisis literatur dari basis data Scopus dan Google Scholar menggunakan teknik analisis konten (content analysis) pada studi periode 2020-2025. Hasil tinjauan menunjukkan bahwa penggunaan algoritma deep learning dan perangkat sensor (IMU) memberikan dampak positif signifikan terhadap akurasi koreksi teknik dan motivasi mental siswa, meskipun variabel aksesibilitas teknologi masih menjadi hambatan utama dalam implementasi skala luas. Kesimpulannya, integrasi AI dalam pedagogi olahraga tidak hanya memperbarui teknik evaluasi tetapi juga mempercepat pencapaian literasi fisik yang berkelanjutan
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