Abstract

Decision Support System or DSS is a system that helps managers in solving the problems of semi-structured. Many techniques are used to make the Decision Support System, one with Fuzzy Logic. Fuzzy logic is one of problem-solving techniques where the degree of membership which are typically represented by values 0 and 1, with Fuzzy Logic is the degree of membership can be represented with a value between 0 and 1 so that it can be more balanced. KPPN Yogyakarta in determining an employee on leave not yet have an application, and is still done manually. Therefore, to further assist in making the determination of the employee on leave should be made DSS. DSS will use fuzzy logic techniques MADM applying TOPSIS method in the calculation process. SPK expected this may be an alternative in the determination of an employee on leave in KPPN Yogyakarta later. Decision Support System determination of an employee on leave with TOPSIS method is to obtain results that are not much different from the calculations manually, so it can be applied to support the decision in the determination of employee leave.

Highlights

  • ABSTRAK Sistem Pendukung Keputusan atau SPK merupakan suatu sistem yang membantu manajer dalam menyelesaikan permasalahan yang semi terstruktur

  • of problemsolving techniques where the degree of membership which are typically represented by values 0

  • with Fuzzy Logic is the degree of membership can be represented with a value

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Summary

Landasan Teori Fuzzy Multi-Attribute Decision Making

Fuzzy MCDM (Multiple Criteria Decision Making) adalah suatu metode pengambilan keputusan untuk menetapkan alternatif terbaik dari sejumlah alternatif berdasarkan beberapa kriteria tertentu (Kusumadewi, 2006). Sedangkan FMADM, alternatif-alternatif sudah diketahui dan ditentukan sebelumnya berdasarkan kriteria yang diberikan. FMADM dapat diklasifikasikan dalam 2 tipe yaitu menyeleksi alternatif dengan atribut (kriteria) dengan ciri-ciri terbaik, dan mengklasifikasikan alternative berdasarkan peran tertentu. 2. Biasanya diasumsikan bahwa keputusan akhir terhadap alternatif-alternatif diekspresikan dengan bilangan riil, sehingga tahap perangkingan menjadi kurang mewakili beberapa permasalahan tertentu dan penyelsaian masalah hanya terpusat pada tahap agregasi. Salah satu cara yang dapat digunakan untuk menyelsaikan kekurangan pada MADM adalah dengan menggunakan fuzzy multi attribute decision making (FMADM). Solusi ideal positif A+ dan solusi ideal negative A- dapat ditentukan berdasarkan rating bobot ternormalisasi (yij) sebagai : Yij = wirij ; dengan i =1,2,...,m; dan j=1,2,...,n . Nilai Vi yang lebih besar menunjukkan bahwa alternative dari Ai lebih dipilih

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