A Comparison of Extent Analysis and Fuzzy Preference Programming for Evaluating B2C Website Usability

Convenience in online transactions on B2C website is an essential thing in the business processes. Comfort and ease of use in human and computer interaction arc called usability. Therefore, developers and online store's owners are highly recommended to evaluate the usability of B2C e-commerce websites to find the extent of the severity of a website. Previous research states that the Extent Analysis (EA) approach to the Fuzzy Analytical Hierarchy Process (FAHP) method is one way to determine the weight of the usability criteria. However, it turns out there are other ways to derive the weight of the criteria in the FAHP method, which is a non-linear programming approach called Fuzzy Preference Programming (FPP). This study aims to compare EA and FPP approach to determine the proper ones on evaluating B2C website usability. A comparative analysis shows that these two methods have significant differences. However, the EA method produces several weights with a value of 0, which causes criteria to be ignored in the calculation. The FPP method can eliminate EA weakness. All criteria remain weighted so that the criteria value can use in the usability score calculation. Based on this result, it can be said that the FPP method is better in generating the weight of the criteria used in usability score calculation.