Sport Science Model to Support the Professional Sports Organization Decision Making

Tanty Oktavia, F. Gaol, Takaaki Hosoda, Arsyan Syahir
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引用次数: 1

Abstract

The role of information technology in sports organizations is important to analyze all aspects including how to win in the competition based on various internal and external factors. The approach that used to enhance the sports organizations is sports science, which is a concept that contributes to the development of athletes by collaborating in many fields and studies, such as anatomy, physiology, psychology, engineering, chemistry, etc. The approach of Sport science articulates the technology that blended on all of the approached. Currently, the use of sports technology or science in Indonesia is also very low in all sports categories. Usually, the management and coaches look at player statistics based on manual data or reports to view player statistics periodically. There is still a lack of exploration to use player statistics to be used by coaches to improve the ability of the players and the organization. This research will propose how to develop sports science with a business intelligence approach that used the Kimball data mart approach as decision support in the field of sports so that management and coaches can apply the correct approach to improve the capacity of players and organizational development. The result of this study will provide the model of sports science that can be implemented for a professional sports organization in Indonesia.
支持职业体育组织决策的体育科学模型
信息技术在体育组织中的作用是分析体育组织如何在各种内外部因素的基础上赢得比赛的各个方面的重要因素。体育科学是一种通过在解剖学、生理学、心理学、工程学、化学等多个领域和研究的合作来促进运动员发展的概念。体育科学的方法阐明了混合了所有方法的技术。目前,印度尼西亚在所有体育项目中对体育技术或科学的使用也很低。通常,管理层和教练根据手工数据或报告查看球员统计数据,定期查看球员统计数据。如何利用球员统计数据来帮助教练提高球员和组织的能力,目前还缺乏探索。本研究将提出如何利用商业智能方法发展体育科学,利用Kimball数据市场方法作为体育领域的决策支持,以便管理层和教练可以应用正确的方法来提高球员的能力和组织的发展。本研究的结果将为印尼的专业体育组织提供可实施的体育科学模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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