Robot Pelontar Bola Untuk Melatih Kiper Menggunakan Algoritma Yolo Sebagai Deteksi Objek

Syihabuddin, Mukhammad Lizam (2023) Robot Pelontar Bola Untuk Melatih Kiper Menggunakan Algoritma Yolo Sebagai Deteksi Objek. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sepak bola merupakan salah satu cabang olahraga yang populer di dunia dan kiper memiliki peranan penting dalam olahraga tersebut. Namun dalam pelatihannya kebanyakan klub sepak bola masih menggunakan cara manual dan membutuhkan rekan untuk latihannya. Hal ini mengakibatkan terhambatnya peningkatan potensi untuk memaksimalkan bakat yang dimiliki, sehingga di butuhkan sebuah alat pelontar bola yang bisa membantu latihan kiper. Penelitian dalam pembuatan alat pelontar bola saat ini hanya sebatas mesin yang dapat melontarkan bola. Penembakannya masih manual dengan mengarahkan mesin ke target yang di inginkan. Di sisi lain riset tentang deteksi obyek yang cepat menggunakan algoritma YOLO (You Only Look Once) berkembang pesat. Namun, pengimplementasian di bidang olahraga masih belum. Perlu adanya kolaborasi antara riset algoritma YOLO di bidang olahraga sepak bola untuk mebuat ronot pelontar bola. Dalam pembuatan robot pelontar bola otomatis ini dapat mendeteksi objek kiper dan gawang menggunakan algoritma YOLO. Hasil nilai confident pada penelitian ini rata-rata 80,56% untuk 5 orang kiper dan nilai confident gawang 85,46%. Gawang akan terbagi menjadi 3 sasaran lontaran yaitu kanan, kiri, dan tengah. Setelah mendapatkan data keberadaan objek dan menemukan sasaran lontaran. Mini pc akan mengatur driver motor agar bisa melontarkan bola menjauhi objek kiper dengan cara mengatur variasi kecepatan dua motor. Berdasarkan hasil look up table nilai RPM telah diambil nilai yan baik dari uji coba dengan tolak ukur kekuatan dan arah yang sesuai. Untuk posisi di A (kiri Gawang) 2335 RPM pada motor 1 dan 463 RPM pada motor 2. Posisi B (tengah gawang) 1469 RPM pada motor 1 dan 1431 RPM pada motor 2. Posisi C (kanan gawang) 472 RPM pada motor 1 dan 2151 RPM pada motor 2. Berdasarkan hasil yang di dapat pada penelitian ini diharapkan alat ini bisa bermanfaat dalam pelatihan kiper.
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Football is one of the popular sports globally, and goalkeepers play a crucial role in this sport. However, in their training, many football clubs still rely on manual methods and require teammates to assist in their practice. This leads to a hindrance in realizing the full potential to maximize their inherent talent. Thus, there is a need for a ball throwing device that can aid in goalkeeper training. Current research in ball throwing devices is limited to machines that can launch balls. The shooting process is still manual, involving directing the machine towards the desired target. On the other hand, research on fast object detection using the YOLO (You Only Look Once) algorithm has been rapidly advancing. Nevertheless, its implementation in the realm of sports is still lacking. There is a necessity for collaboration between YOLO algorithm research and the field of football to create a ball-throwing robot. In the creation of this automated ball-throwing robot, the YOLO algorithm is employed to detect the goalkeeper and the goalposts. The results of confidence scores in this study average at 80.56% for 5 goalkeepers and a confidence score of 85.46% for the goalposts. The goalposts are divided into 3 target areas: right, left, and center. Once the presence of the object is determined and the throwing targets are identified, a mini PC will control motor drivers to throw the ball away from the goalkeeper by adjusting the speed variation of two motors. Based on the results obtained from the look-up table, RPM values have been selected from trial experiments considering appropriate strength and direction. For position A (left goalpost), 2335 RPM is set for motor 1 and 463 RPM for motor 2. For position B (center goalpost), 1469 RPM is set for motor 1 and 1431 RPM for motor 2. Lastly, for position C (right goalpost), 472 RPM is set for motor 1 and 2151 RPM for motor 2. Based on the findings of this research, it is hoped that this device can be beneficial in goalkeeper training.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Algoritma YOLO, Arah Lontaran, Robot Pelontar Bola Otomatis, Automatic Ball Throwing Robot, Throwing Target, YOLO Algorithm
Subjects:	Q Science > Q Science (General) > Q325.5 Machine learning. Support vector machines. T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques T Technology > TJ Mechanical engineering and machinery > TJ211 Robotics.
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Mukhammad Lizam Syihabuddin
Date Deposited:	11 Oct 2023 08:42
Last Modified:	11 Oct 2023 08:42
URI:	http://repository.its.ac.id/id/eprint/104158

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