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1- Physical Education, Faculty of Sports Science, Jakarta State University, Jakarta, Indonesia , johaidah_9904922027@mhs.unj.ac.id
2- Physical Education, Faculty of Sports Science, Jakarta State University, Jakarta, Indonesia
Abstract:   (112 Views)
Background: Pencak silat is a martial art competed in regional, national, and international events like the SEA Games and Asian Games. Success requires physical skills, techniques, tactics, and intelligence. Athletes earn points through attacks such as punches, kicks, and falls, with the higher scorer declared the winner. 
Objective: This study aims to develop a functional training model to improve fall anticipation skills in pencak silat athletes. 
Methods: The research uses the Research & Development (R&D) method with the Borg and Gall model. The functional training model focuses on three phases: pre-pull, during-pull, and post-pull, incorporating tools like resistance bands, punching bags, dumbbells, and coordination balls, integrated with match simulations. The model, consisting of 12 validated training items, was tested on three groups: small-scale (12 athletes), large-scale (35 athletes), and effectiveness (70 athletes, divided into experimental and control groups). Data were analyzed using t-tests, N-Gain, and Cohen’s D. 
Results: The 12-item training model significantly improved fall anticipation skills, with the experimental group showing a significant increase (p < 0.05) and a high Cohen’s D value of 1.91, indicating high effectiveness. The model’s three phases were validated by experts, ensuring relevance to match conditions. 
Conclusion:The functional training model effectively enhances fall anticipation skills in pencak silat athletes. Its systematic, practical, and adaptive approach offers a new innovation in training, helping athletes master techniques crucial for competition
Keywords: Functional, training, Pencak Silat, Model, Anticipation, Falling

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Type of Study: Original Article | Subject: Motor Control and its Related Branches
Received: 2025/01/22 | Accepted: 2025/03/19

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