Evaluation maturity index and risk management for it governance using Fuzzy AHP and Fuzzy TOPSIS (case Study Bank XYZ)

Risk management maturity index should be measured to determine whether the application of risk management within the organization succeed or not. Assessment of risk management maturity index is very important because it allows the identification of strengths and weaknesses of the organization that can be used to improve corporate governance and organization risk managementt. Many measurement methods that have been used, but when but when we get a less good data, this will cause some problems. Existing data are sometimes inadequate for problems in real life. For that we need a new model to perform a measurement. In this study using fuzzy logic models in making a decision of structured preference maker. Fuzzy theory helps in measuring the concept of uncertainty related to human which is subjective. Two applications of fuzzy namely Fuzzy AHP is used to determine the weight of the specified criteria and Fuzzy TOPSIS to rank of selected alternatives. This study uses a case study of Bank XYZ as an object of research. The results of this research to get Skills and Expertise (SE): 0.041641. For the calculation of risk management SW/HW (Slow Connection): 0.87410948

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