Aplikasi Berbasis M-KNN Untuk Mendukung Keputusan Perekrutan Pemain Yang Sesuai Dengan Kebutuhan Tim Sepakbola

Stevefanus, Deny (2017) Aplikasi Berbasis M-KNN Untuk Mendukung Keputusan Perekrutan Pemain Yang Sesuai Dengan Kebutuhan Tim Sepakbola. Sarjana thesis, Universitas Brawijaya.

Abstract

Sepakbola adalah masing-masing regu atau kesebelasan berusaha menguasai bola, memasukan bola ke dalam gawang lawan sebanyak mungkin, dan berusaha mematahkan serangan lawan untuk melindungi atau menjaga gawangnya agar tidak kemasukan bola. Dari penjelasan tersebut dapat diketahui bahwa tujuan bermain sepakbola adalah untuk mencetak angka atau gol. Tiap-tiap pemain mempunyai fungsi yang berbeda-beda yaitu penyerang atau pemain depan berfungsi sebagai penyerang, oleh karena itu seorang 3 pemain depan dituntut untuk dapat mencetak gol ke gawang lawan. Kemudian pemain tengah atau gelandang berfungsi sebagai pengumpan bola atau bisa juga gelandang bertugas membantu penyerang untuk memasukkan bola ke gawang. Selain itu, ada juga pemain belakang atau defender yang berfungsi menjaga pertahanan gawang dari serangan para lawan. Akan tetapi selain bertugas sebagai bertahan, pemain belakang atau yang lebih sering disebut bek juga dapat bertugas membantu penyerangan. Oleh karena tiap pemain memiliki fungsi atau tugas masing-masing yang berbeda, tentunya hal tersebut berpengaruh kepada tendangan masing-masing pemain tergantung posisi yang dimiliki. MkNN merupakan pengembangan dari metode k-Nearest Neighbour (kNN). MkNN memberi label kelas pada data pengujian berdasarkan k data pelatihan yang tervalidasi dan bobot dari masing-masing data pelatihan tersebut, bukan hanya berdasarkan jarak terdekat seperti yang dilakukan pada kNN. MkNN memberikan kesempatan yang lebih besar bagi data pelatihan yang memiliki validitas yang tinggi, sehingga klasifikasi tidak terlalu terpengaruh pada data yang kurang stabil atau memiliki validitas yang rendah. Hasil perhitungan MkNN yang dilakukan sistem pendukung keputusan sama dengan hasil perhitungan secara manual. Keakurasian aplikasi sistem pendukung keputusan ini dalam menentukan posisi pemain mendapatkan hasil 90%.

English Abstract

Football is each team or squad trying to control the ball, inserting the ball into the opposing goal as much as possible, and try to break the opponent's attack to protect or keep his goal so as not to concede the ball. From the explanation it can be seen that the purpose of playing football is to score numbers or goals. Each player has a different function that is the attacker or the front player serves as an attacker, therefore a 3 front player is required to be able to score against the opponent's goal. Then the midfielder or midfielder serves as a ball feeder or it could be a midfielder in charge of assisting the attacker to insert the ball into the goal. In addition, there is also a defender or defender who serves to keep the goal defense from attack the opponents. However, in addition to serving as defensive, defender or more often called a defender can also be tasked to assist the attack. Because each player has a function or task of each different, of course it affects the kicks of each player depending on the position they have. MkNN is a development of the k-Nearest Neighbor (kNN) method. MkNN class labels on test data based on the validated training data and weight of each training data, not just based on the nearest distance as done on kNN. MkNN provides a greater opportunity for training data that has high validity, so the classification is not too affected on data that is less stable or have low validity. The result of MkNN calculation done by decision support system is same with result of calculation manually. The accuracy of this decision support system application in determining the player's position gets 90% results.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FTIK/2017/732/051708549
Uncontrolled Keywords: Sepak Bola, Posisi, Pemain , K-Nearest Neighbour
Subjects: 000 Computer science, information and general works > 004 Computer science > 004.015 1 Finite mathematic
Divisions: Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Yusuf Dwi N.
Date Deposited: 02 Oct 2017 06:24
Last Modified: 12 Dec 2020 17:07
URI: http://repository.ub.ac.id/id/eprint/3083
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