SISTEM PENDUKUNG KEPUTUSAN PENENTUAN POSISI IDEAL PEMAIN DI TIM FUTSAL UKM BOLA UNIVERSITAS MUHAMMADIYAH PONOROGO DENGAN METODE NAÏVE BAYES

MUHYIDIN, LUKMAN (2021) SISTEM PENDUKUNG KEPUTUSAN PENENTUAN POSISI IDEAL PEMAIN DI TIM FUTSAL UKM BOLA UNIVERSITAS MUHAMMADIYAH PONOROGO DENGAN METODE NAÏVE BAYES. Skripsi (S1) thesis, Universitas Muhammadiyah Ponorogo.

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Abstract

Abstract Futsal is one of the sports that people are interested in. In futsal, the ideal position of players in a team is very important to determine. Determining the ideal position of players can help the team maximize its ability to compete against the opposing team. However, determining the position of futsal players is often done manually according to the coach's estimates. This is one of the causes of the failure of a team in a match. Therefore, researchers created a system that aims to assist futsal coaches in determining the ideal position of futsal players in a team according to predetermined variables.The implementation of the system uses the Naive Bayes algorithm which aims to classify data in certain classes, then the pattern can be used to estimate the ideal player position so that the coach can make a decision to place the player's position. The variables used are rescue, sweep, interception, stopping, concentration, defense, anticipation, control, strength, speed, passing, visio, movement, composure, agility, team work, finishing, acceleration, technique, body balance. The position of the players to be determined consists of Goal Keeper, Anchor, Flank and Pivot.The results obtained from the application of this decision support system are the system can provide information that can help the trainers. The results of presenting player choices are expected to help a coach change the way players are assessed from being subjective to being objective. Keywords: Naïve Bayes Algorithm, Futsal, Positioning, Decision Support System, Variable. Abstrak Olahraga futsal merupakan salah satu olahraga yang diminati masyarakat. Dalam permainan futsal penentuan posisi ideal bagi pemain dalam sebuah tim sangat penting. Penentuan posisi ideal pemain dapat membantu tim memaksimal kemampuan dalam bertanding melawan tim lawan. Namun, penentuan posisi pemain futsal seringkali dilakukan secara manual menurut perkiraan pelatih. Hal tersebut menjadi salah satu penyebab kegagalan sebuah tim dalam suatu pertandingan. Untuk itu, peneliti membuat sistem yang bertujuan untuk membantu pelatih futsal dalam menentukan posisi ideal pemain futsal dalam sebuah tim sesuai dengan kriteria yang diinginkan. Sistem ini mengimplementasikan algoritma Naive Bayes yang bertujuan untuk melakukan klasifikasi data pada kelas tertentu, kemudian pola tersebut dapat digunakan untuk memperkirakan posisi pemain yang ideal sehingga pelatih bisa mengambil keputusan untuk menempatkan posisi pemain tersebut. Variabel-variabel yang digunakan pada penelitian ini yaitu penyelamatan, sapuan, interception, stopping, konsentrasi, defense, antisipasi, control, strength, speed, passing, visio, movement, ketenangan, agility, team work, finishing, akselerasi, technique, body balance. Posisi pemain yang akan ditentukan terdiri dari Goal Keeper, Anchor, Flank dan Pivot. Hasil penelitian yang didapatkan dari aplikasi sistem pendukung keputusan ini yaitu sistem dapat menyajikan informasi yang mampu membantu para pelatih. Hasil penyajian pilihan pemain diharapkan dapat membantu seorang pelatih merubah cara penilaian pemain dari yang bersifat subyektif menjadi objektif. Kata Kunci: Algoritma Naive Bayes, Futsal, Penentuan Posisi, Sistem Pendukung Keputusan, Variabel.

Item Type: Thesis (Skripsi (S1))
Uncontrolled Keywords: Algoritma Naive Bayes, Futsal, Penentuan Posisi, Sistem Pendukung Keputusan, Variabel.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Informatic Engineering
Depositing User: ft . userft
Date Deposited: 17 Sep 2021 06:09
Last Modified: 05 Nov 2021 02:44
URI: http://eprints.umpo.ac.id/id/eprint/7943

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