RSPORT : APLIKASI REKOMENDASI PENEMPATAN KOK DENGAN METODE DRILL DALAM MEMBANTU LATIHAN BULU TANGKIS

Muhammad Rafi Valliansyah, - (2024) RSPORT : APLIKASI REKOMENDASI PENEMPATAN KOK DENGAN METODE DRILL DALAM MEMBANTU LATIHAN BULU TANGKIS. S1 thesis, Universitas Pendidikan Indonesia.

	Text S_KOM_2003117_Title.pdf Download (621kB)
	Text S_KOM_2003117_Chapter 1.pdf Download (125kB)
	Text S_KOM_2003117_Chapter 2.pdf Restricted to Staf Perpustakaan Download (778kB) | Request a copy
	Text S_KOM_2003117_Chapter 3.pdf Download (196kB)
	Text S_KOM_2003117_Chapter 4.pdf Restricted to Staf Perpustakaan Download (1MB) | Request a copy
	Text S_KOM_2003117_Chapter 5.pdf Download (58kB)
	Text S_KOM_2003117_Appendix.pdf Restricted to Staf Perpustakaan Download (3MB) | Request a copy

Abstract

Atlet berlatih untuk meningkatkan kemampuannya dalam permainan bulu tangkis. Namun pelatih akan kerepotan jika harus mencatat dan membuat latihan secara manual. Variasi latihan permainan juga akan terbatas pada pengetahuan pelatih dan atlet. Penelitian ini bertujuan untuk mengembangkan aplikasi latihan bulu tangkis dengan rekomendasi penempatan kok menggunakan algoritma Boyer Moore dan perhitungan energi. Data yang digunakan dalam pembentukan model berupa pola penempatan kok beserta arah serangan dan jenis pukulannya. Model dibuat berdasarkan data tersebut dengan memanfaatkan algoritma Boyer Moore. Rekomendasi didasarkan pada perhitungan energi atlet dan lawan agar atlet mengeluarkan energi paling sedikit dan sebaliknya untuk lawan. Dengan 20 uji coba, aplikasi merekomendasikan hasil 75% lebih baik daripada pola serangan di video aslinya. Aplikasi diimplementasikan dalam latihan drill bulu tangkis. Persepsi atlet dan pelatih terhadap aplikasi dapat dikatakan cukup positif. Aplikasi RSport dapat menjadi alternatif latihan yang bermanfaat bagi atlet dan pelatih olahraga bulu tangkis. Luaran penelitian ini dapat digunakan oleh pelatih dan atlet untuk memperkaya metode latihan bulu tangkis yang digunakan. Athletes train to enhance their skills in badminton. However, coaches would face difficulties if they had to manually record and design training sessions. The variety of training exercises would as well be limited by the knowledge of the coaches and athletes. This study aims to undertake a badminton training application for shuttlecock placement recommendations using the Boyer Moore algorithm and energy calculations. This application, named RSport, is developed using the waterfall method with data obtained from previous research. The data consists of shuttlecock placement patterns, along with attack directions and shot types. The model is built based on this data using the Boyer Moore algorithm. Recommendations are made based on the energy calculations of both the athlete and the opponent to ensure that the athlete expends the least energy while maximizing the opponent's energy expenditure. Shiny package in R programming language is used to build the web application. With 20 trials, the application recommended results that were 75% better than the attack patterns in the original videos. Athlete and coach perceptions of the application were generally positive. The RSport application can serve as a beneficial training alternative for badminton athletes and coaches. The results of this research can help coaches and athletes enhance the training methods used in badminton.

Item Type:	Thesis (S1)
Additional Information:	https://scholar.google.com/citations?user=bAy4skAAAAAJ&hl=id ID SINTA Dosen Pembimbing: Lala Septem Riza: 5975668 Rani Megasari: 5992674
Uncontrolled Keywords:	rsport, latihan drill, bulu tangkis, boyer moore, perhitungan energi rsport, drill training, badminton, boyer moore, energy calculation
Subjects:	L Education > L Education (General) T Technology > T Technology (General)
Divisions:	Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer
Depositing User:	Muhammad Rafi Valliansyah
Date Deposited:	06 Sep 2024 08:29
Last Modified:	06 Sep 2024 08:29
URI:	http://repository.upi.edu/id/eprint/122245

Actions (login required)

View Item