The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

Research Article

Determining Football Players Position Using SAW Method

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  • @INPROCEEDINGS{10.4108/eai.24-10-2018.2280564,
        author={Achmad Jauhari and Ika Oktavia Suzanti and Sigit Susanto Putro and Devie Rosa Anamisa and Mohammad Abdillah and Achmad Khozaimi and Eka Mala Sari Rochman},
        title={Determining Football Players Position Using SAW Method},
        proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus},
        publisher={EAI},
        proceedings_a={ICCSET},
        year={2018},
        month={11},
        keywords={football school method saw player decision support system},
        doi={10.4108/eai.24-10-2018.2280564}
    }
    
  • Achmad Jauhari
    Ika Oktavia Suzanti
    Sigit Susanto Putro
    Devie Rosa Anamisa
    Mohammad Abdillah
    Achmad Khozaimi
    Eka Mala Sari Rochman
    Year: 2018
    Determining Football Players Position Using SAW Method
    ICCSET
    EAI
    DOI: 10.4108/eai.24-10-2018.2280564
Achmad Jauhari1,*, Ika Oktavia Suzanti1, Sigit Susanto Putro1, Devie Rosa Anamisa1, Mohammad Abdillah1, Achmad Khozaimi1, Eka Mala Sari Rochman1
  • 1: University of Trunojoyo
*Contact email: jauhariaja@gmail.com

Abstract

When entering SSB (Soccer School) a player generally chooses the desired position. However after become a professional, player can change that position. A coach will determine the player's position in game based on player data. This task often makes the coach difficulty in making the right decision by assessing the player objectively. In addition, generally the decision making process still rely on coach instincts. Therefore, with decision support system to determine the position of football players would be very helpful to achieve maximum results in every game. The technology that authors offer is a decision support system in selection player position based on player data using SAW (Simple Additive Weighting) method. The results accuracy of the assessment on this method by 50%, which is from results comparison between calculation system and coach recommendations.