Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia

Research Article

Performance Analysis of Fuzzy AHP in The Rankings

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  • @INPROCEEDINGS{10.4108/eai.20-1-2018.2281865,
        author={Teuku  Afriliansyah and Erna Budhiarti  Nababan and Zakarias  Situmorang},
        title={Performance Analysis of Fuzzy AHP in The Rankings},
        proceedings={Proceedings of the 1st Workshop on Multidisciplinary and Its Applications Part 1, WMA-01 2018, 19-20 January 2018, Aceh, Indonesia},
        publisher={EAI},
        proceedings_a={WMA-1},
        year={2019},
        month={9},
        keywords={hierarchy analysis process fuzzy ahp accuration},
        doi={10.4108/eai.20-1-2018.2281865}
    }
    
  • Teuku Afriliansyah
    Erna Budhiarti Nababan
    Zakarias Situmorang
    Year: 2019
    Performance Analysis of Fuzzy AHP in The Rankings
    WMA-1
    EAI
    DOI: 10.4108/eai.20-1-2018.2281865
Teuku Afriliansyah1,*, Erna Budhiarti Nababan1, Zakarias Situmorang1
  • 1: Department of Computer Science, Universitas Sumatera Utara, Medan, Indonesia
*Contact email: teuku_afriliansyah@students.usu.ac.id

Abstract

Analytic Hierarchy Process can solve complex multicriteria problemsinto a hierarchy. hierarchy is defined as a representation of a complex problem in a multi-level structure where the first level is the goal, followed by the factor level, criteria, sub criteria, and so on down to the last level of the alternative (Saaty, 2008). Selection of employees achievement aims to provide encouragement, dedication, loyalty, professionalism and high motivation to employee performance. In this research, Hierarchical Process Analysis Method is used to search the ranking weight, then used Fuzzy AHP method as a comparison, then tested to get employee performance accuration. Fuzzy AHP is a combination of Hierarchical Process Analysis method with fuzzy concept approach. Fuzzy AHP covers the existing weaknesses in Hierarchical Process Analysis, problems with criteria that have more subjective properties. Final conclusions Fuzzy AHP still get more value than using Hierarchy Analysis Process. The percentage of weight gain is 21%, 8%, 9%, 11%, 14%, 7%, 17%, 15%, 10%, and 14% respectively. The difference of the results obtained is due to the weight difference of each criterion value that exists. Furthermore, the calculation of accuration, test results show Fuzzy AHP method gets accuracy of 72%.