Abstract
Usability is a critical success factor in business. However, many usability issues on e-commerce websites cannot be adequately handled because there is no priority scale. The severity rating helps focus on the significant problem. The severity triggered by the data is considered better than the severity triggered by the evaluator. Data obtained quantitatively used to determine essential values and usability scores. Previous research has applied the Fuzzy Analytical Hierarchy Process (FAHP) method with Extent Analysis (EA), and Fuzzy Preference Programming (FPP) approaches. We were assessing the weight of criteria to evaluate usability and determine severity rating. However, EA and FPP approaches have disadvantages. Among them, when determining the number of paired comparisons at the level of importance between criteria. The number of comparisons that must be assessed by Decision-Maker (DM) causes the fuzzy pairing matrix to be inconsistent. This inconsistency causes the weight between rules to be invalid. The Consistent Fuzzy Preference Relation (CFPR) method is present to overcome the problem of the number of paired comparisons. The CFPR method summarizes the comparison steps to facilitate DM in assessing the level of importance between criteria. The results show the results of rank similarity testing; the EA and CFPR methods have close relationships. The FPP and CFPR methods have a weak correlation in generating usability ranking and severity ratings.
This research was supported by the Ph.D grant of the Indonesia endowment fund for education (LPDP) ministry of Finance Republik Indonesia for Tenia Wahyuningrum (No. PRJ-4811/LPDP.3/2016).
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References
Salwani, I., et al.: E-commerce usage and business performance in the malaysian tourism sector: empirical analysis. Inf. Manag. Comput. Secur. 17(2), 166–185 (2009)
The Evolution of Ecommerce Business Models in Southeast Asia. https://ecommerceiq.asia/evolution-ecommerce-business-models-southeast-asia/. Accessed 13 Sept 2018
Yang, H.: Measuring software product quality with ISO standards base on fuzzy logic technique. In: Luo, J. (ed.) Affective Computing and Intelligent Interaction. AISC, vol. 137, pp. 59–67. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-27866-2_8
Abdallah, S., Jaleel, B.: Website appeal: development of an assessment tool and evaluation framework of E-marketing. J. Theor. Appl. Electron. Commer. Res. 10(3), 45–62 (2015)
Tullis, T., Albert, B.: Measuring The User Experience. Morgan Kaufmann, Burlington (2013)
Sauro, J.: The relationship between problem frequency and problem severity in usability evaluations. J. Usability Stud. 10(1), 17–25 (2014)
Wahyuningrum, T., et al.: A comparison of extent analysis and fuzzy preference programming for evaluating B2C website usability. In: 8th IEEE International Conference on Control System, Computing and Engineering, pp. 150–155. IEEE, Penang (2018)
Iryanti, E., Pandiya, R.: Evaluating the quality of E-learning using consistent fuzzy preference relations method. In: 6th International Conference on System Engineering and Technology, pp. 61–66. IEEE, Bandung (2016)
Wang, T.C., Chen, Y.H.: Applying consistent fuzzy preference relations to partnership selection. Omega 35(4), 384–388 (2007)
Herrera-Viedma, E., et al.: Some issues on consistency of fuzzy preference relations. Eur. J. Oper. Res. 154(1), 98–109 (2004)
Dominic, P.-D.-D., Jati, H.: A comparison of Asian airlines websites quality: using a non-parametric test. Int. J. Bus. Innov. Res. 5(5), 499–522 (2011)
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Wahyuningrum, T., Azhari, A., Suprapto (2019). Improving e-Commerce Severity Rating Measurement Using Consistent Fuzzy Preference Relation. In: Berry, M., Yap, B., Mohamed, A., Köppen, M. (eds) Soft Computing in Data Science. SCDS 2019. Communications in Computer and Information Science, vol 1100. Springer, Singapore. https://doi.org/10.1007/978-981-15-0399-3_3
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