OPTIMASI AKURASI DETEKSI GOAL GAWANG FUTSAL DENGAN METODE SQUARE GRID
Abstract
In recent past, futsal field development in Indonesia is rapidly growing since this sport is getting popular among the people. Futsal is a one kind of football with different rules of playing. Similarly, futsal aims at shooting a ball to the opponents goal post. Additionally, in futsal also referee serves to determine the eligibility of goal made by the players and command the whole game. Conventionally, in determining the goal made by the players relies on the eyes movement skill in overseeing the ball. However, it claims to be inaccurate and ineffective. Thus, this research deals with the development of Optimization Accuracy System in Goal Detection using Square Grid Model in Laser and Photodiode and using additional validation through pixy camera which can work hand in hand with the referee in taking a decision of a goal made. Data Validation of PIXY CMU CAM in the form of color detection and referee decision data will be sent through bluetooth to the system. The system trials showed that the accuracy level of ball detection using square grid method was 80%. It indicated that the improvement of efficiency reaches 30% compare to the manual one.
Beberapa tahun belakangan ini, pertumbuhan lapangan futsal di Indonesia sangat pesat seiring dengan semakin diminatinya olahraga futsal. Futsal merupakan salah satu cabang olahraga sejenis sepakbola, namun hanya berbeda pada aturan permainannya. Olahraga futsal bertujuan untuk memasukkan bola ke dalam gawang lawan. Sama halnya dengan sepakbola, di dalam aturan permainan futsal terdapat wasit untuk menentukan sah tidaknya bola masuk ke dalam gawang dan mengatur jalannya pertandingan. Pada saat ini, penentuan gol dibuat berdasarkan kemampuan pancaindra mata dalam melihat setiap pergerakan bola. Sehingga, dinilai kurang akurat dan efektif apabila dalam memutuskan sah tidaknya bola masuk ke dalam gawang. Penelitian ini mengembangkan sistem Optimasi Akurasi Deteksi Goal dengan Metode Square Grid pada laser dan photodiode dan menggunakan validasi tambahan menggunakan camera pixy dan wasit yang dapat bekerja secara bersamaan dan otomatis dalam memberi keputusan sah tidaknya goal. Data validasi PIXY CMU CAM berupa deteksi warna bola dan data keputusan wasit dikirim menggunakan bluetooth ke sistem. Pada pengujian sistem didapat tingkat akurasi deteksi bola pada gawang futsal metode square grid sebesar 80%. Peningkatan efisiensi dalam menggunakan sistem ini dibandingkan dengan cara manual sebesar 30%.
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DOI: http://dx.doi.org/10.17977/jptpp.v2i3.8596
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