IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH CAFÉ DENGAN METODE MABAC

Riza Akhsani Setyo Prayoga, Fauzan Nusyura, Yohanes Setiawan
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Abstract

The cafe is a great place to gather or work. Many customers who spend time to the cafe alone or with friends or family. The cafe is growing rapidly. Many cafes are competing to get consumers and of course they are trying to improve the facilities and food and drinks that can be offered. The existence of a decision support system can help in choosing the best alternative cafe according to the criteria. The method of Decision Support System used is MABAC. This method is quite consistent in giving recommendations. Steps in this method there are several of them make creating an initial decision matrix that contains the value of the criteria of each alternative. Then proceed to the normalization of the elements of the initial Matrix. Next perform the calculation of the elements of the weighted Matrix (V). After that, perform the determination of the matrix of the approximate border area (G), then proceed to the calculation of alternative distance matrix elements from the estimated border area Q. Then end with the ranking of the calculation results of the MABAC method. The results of the recommendations on the MABAC method puts caf´e 1 as the best alternative to other caf´e with a final value of 0.439626.
采用基于MABAC方法选择咖啡馆的决策系统
咖啡馆是聚会或工作的好地方。许多顾客独自一人或与朋友或家人一起去咖啡馆。这家咖啡馆发展迅速。许多咖啡馆都在竞相吸引顾客,当然他们也在努力改善设施和提供的食物和饮料。决策支持系统的存在可以帮助根据标准选择最佳的替代咖啡馆。决策支持系统采用MABAC方法。这种方法在给出建议时是相当一致的。该方法有几个步骤,其中包括创建一个初始决策矩阵,该矩阵包含每个备选方案的标准值。然后进行初始矩阵元素的归一化。然后计算加权矩阵(V)的元素,然后确定近似边界区域(G)的矩阵,然后计算与估计边界区域q的备选距离矩阵元素,最后对MABAC方法的计算结果进行排序。对MABAC方法的推荐结果表明,caf ' e 1是其他caf ' e的最佳替代,最终值为0.439626。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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