ANALISIS SENSITIVITAS UNTUK PEMILIHAN MODEL MULTI ATTRIBUTE DECISION MAKING (MADM) DALAM PENYELESAIAN MASALAH DINAMIS

Multi Attribute Decision Making (MADM) has been widely used by decision maker to solve decision making problems. MADM model has various methods that can be used to find the best solution. Sometimes, the methods chosen by decision makers are not relevant to solve decision making problems. The differe...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: , HENRY WIBOWO SUBANDI, , Teguh Bharata Adji, S.T., M.T., M.Eng., Ph.D.
التنسيق: Theses and Dissertations NonPeerReviewed
منشور في: [Yogyakarta] : Universitas Gadjah Mada 2012
الموضوعات:
ETD
الوصول للمادة أونلاين:https://repository.ugm.ac.id/99466/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=55981
الوسوم: إضافة وسم
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المؤسسة: Universitas Gadjah Mada
الوصف
الملخص:Multi Attribute Decision Making (MADM) has been widely used by decision maker to solve decision making problems. MADM model has various methods that can be used to find the best solution. Sometimes, the methods chosen by decision makers are not relevant to solve decision making problems. The differences within MADM methods often lead to differences in the process of selecting or ranking groups of alternatives based on multiple attributes. This research intends to propose an approach to assist decision makers in selecting MADM methods which are relevant to the cases through the sensitivity analysis. This research develops an application to analyze and compare five MADM methods are SAW, TOPSIS, WP, ELECTRE and AHP. Those method used to find the best alternative of selected method based on sensitivity analysis. Input paramaters used are alternative data, attribute data and value of algorithm that are used to process sensitivity analysis. In this research the sensitivity analysis process will be based on the alteration percentage of alternative ranking for each method. The highest of the alteration percentage the more chosen is by decision maker. The final result of this research show that application has been developed can be solve dynamic MADM problem with apply sensitivity analysis process to testing five methods of MADM (SAW, TOPSIS, WP, ELECTRE dan AHP). This application can be find optimum solution for dynamic problem solving, so can be able decision maker to problem solve quickly and accurately.