Studi Komparasi Metode Entropy dan ROC dalam Menentukan Bobot Kriteria

Cokro Edi Prawiro · Muhammad Yusril Helmi Setyawan · Syafrial Fachri Pane

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Multi-Criteria Decision Making Decision Support System Applications Evaluation Methods in Various Fields

Abstract

Abstrak Bobot kriteria yang sangat penting dan berpengaruh pada hasil pengambilan keputusan perlu dicari metode untuk menentukan bobot yang tepat dalam menentukan kriteria. Pada penelitian ini dilakukan studi komparasi antara metode Entropy dan ROC untuk mencari metode dalam pembobotan kriteria yang sesuai untuk pengambilan keputusan. Pada penelitian ini dilakukan uji sensitivitas dan nilai efektif pada kriteria yang dijadikan parameter pembanding antara metode entropy dan ROC. Hasil dari penelitian ini uji sensitivitas untuk metode ROC mendapatkan nilai sebesar 2,98752381 Sedangkan entropy 1,406581327 dan untuk uji nilai efektif pada metode ROC semua kriteria efektif sedangkan metode entropy dua kriteria efektif dan tiga kriteria tidak efetif. Berdasarkan hasil tersebut metode ROC lebih baik dalam menentukan bobot kriteria untuk pengambilan keputusan. Abstract The weight of the criterion which is very important and has an effect on the results of decision making, it is necessary to find a method to determine the appropriate weight in determining the criteria. In this study, a comparative study was carried out between the Entropy and ROC methods to find a method of weighting the appropriate criteria for decision making. In this study, the sensitivity and effective value of the criteria were tested as parameters of comparison. The results of the sensitivity test for the ROC method obtained a value of 2.98752381 while the entropy was 1.406581327 and for the effective value test on the ROC method, all criteria were effective while the entropy method was effective with two criteria and three criteria were ineffective. Based on these results the ROC method is better at determining the weight of the criteria for decision makers.

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References

2018A New Model for Determining Weight Coefficients of Criteria in MCDM Models: Full Consistency Method (FUCOM)2019Weighting methods for multi-criteria decision making technique 2016A Comparative Study of Multiple-Criteria Decision-Making Methods under Stochastic Inputs 2018Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method 2020Comparison SAW and MOORA Methods with Attribute Weighting Using Rank Order Centroid in Decision Making 2016Comparison of rank-based weighting methods for multi-criteria decision making 2018Information System of Performance Assesment on Startup Business using Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER)

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