Integrasi Latihan Plyometric dan Analisis Video AI untuk Meningkatkan Efektivitas Jump Shot dalam Basket

Nazalus  Syobri; Angga Indra Kusuma; Raditya Pratama; Muhammad; Harwanto

doi:10.36312/jontak.v6i2.4647

Nazalus Syobri Department of Sport and Health Education, Faculty of Sports Science and Public Health, Universitas Pendidikan Mandalika. Jl. Pemuda No. 59A, Mataram, Indonesia. Postal code: 83125
Angga Indra Kusuma Universitas PGRI Adi Buana Surabaya
Raditya Pratama Prodi Teknik Sipil, FEIP Soshum dan Saintek, Universitas Kristen Cipta Wacana, Malang, Indonesia.Postal Code: 65126
Muhammad Prodi Pendidikan Jasmani Kesehatan dan Rekreasi Faultas Keguruan dan Ilmu Pendidikan, Universitas Jabal Ghafur-Sigli, Jl. Sigli Lamlo , Kec. Indra Jaya Kabupaten Pidie-Aceh, Indonesia. Postal Code: 24171
Harwanto Prodi Pendidikan Jasmani, Fakultas Keguruan, Universitas PGRI Adi Buana Surabaya, Jl. Dukuh Menanggal XII, Dukuh Menanggal, Kec. Gayungan, Surabaya, Indonesia. Postal Code: 60234

DOI: https://doi.org/10.36312/jontak.v6i2.4647

Keywords: Plyometric training, AI video analysis, jump shot, basketball

Abstract

ABSTRACT

Technological advancements in sports have created new opportunities to enhance training effectiveness, particularly in developing jump shot skills in basketball. This study aims to analyze the impact of integrating plyometric training with AI-based video analysis on improving shot accuracy and jump height. The research employs an experimental method with a pretest-posttest control group design. The population consists of university-level basketball athletes, with a sample of 30 players divided into an experimental group and a control group. The experimental group underwent plyometric training combined with AI video feedback, while the control group performed conventional plyometric exercises. The results indicate that the experimental group experienced a significant improvement in shooting accuracy and jump height compared to the control group (p < 0.05). These findings suggest that AI-based video analysis provides more objective and effective feedback for enhancing athlete performance. Therefore, coaches are encouraged to adopt this technology in training programs to optimize player skill development.