Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.

Research Article

Implementation of Simple Additive Weighting Method in Determination of Aid for Students From Low Socio-Economic Status Family

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297727,
        author={Mohamad  Irfan and Hilman  Rismana and Muhammad Deden Firdaus and Wisnu  Uriawan},
        title={Implementation of Simple Additive Weighting Method in Determination of Aid for Students From Low Socio-Economic Status Family},
        proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.},
        publisher={EAI},
        proceedings_a={ICONISTECH},
        year={2021},
        month={1},
        keywords={decision support system scholarship criteria simple additive weighting},
        doi={10.4108/eai.11-7-2019.2297727}
    }
    
  • Mohamad Irfan
    Hilman Rismana
    Muhammad Deden Firdaus
    Wisnu Uriawan
    Year: 2021
    Implementation of Simple Additive Weighting Method in Determination of Aid for Students From Low Socio-Economic Status Family
    ICONISTECH
    EAI
    DOI: 10.4108/eai.11-7-2019.2297727
Mohamad Irfan1,*, Hilman Rismana1, Muhammad Deden Firdaus1, Wisnu Uriawan1
  • 1: Universitas Islam Negeri Sunan Gunung Djati Bandung
*Contact email: irfan.bahaf@uinsgd.ac.id

Abstract

Assistance for underprivileged students (BSM) is a program from the government given to underprivileged students who excel, the goal is to provide relief in paying school fees. But there are problems in determining BSM, including the distribution of scholarships not on target. Therefore, to obtain better results and overcome these problems, a decision support system is used in determining BSM criteria. This study uses the method of Simple Additive Weighting (SAW), the method is often known as the weighted sum method. By applying the SAW method, it can help in making decisions for prospective poor student beneficiaries appropriately. The final results of this study found that the SAW method was able to overcome the problems in determining BSM with 100% accuracy.