Kansei Engineering and Multivariate Analysis Methods for Website Display Innovation

Abstract

Multivariate Factor Analysis is a technique in statistical calculations that functions in finding the main determining factors that have a major influence in a combination of statistical facts. On the preparation of the website interface according to the usability and function and also the involvement of the user's feelings so that it will intersect with Kansei Engineering. The researcher measured the consumer feeling about the part of the website that was widely used by using the Kansei Engineering Type I method. From the specimen material that had been applied for previous research, a discussion was developed which initially focused more heavily on Kansei Engineering and was used as an alternative update in utilizing multivariate factor studies. The fact that the survey output to the user will be carried out by applying Cronbach's Alpha multivariate statistical planning, Coefficient Correlation Analysis, Principal Component Analysis, Factor Analysis and Partial Least Square which has been applied to previous observations, then the highest value part of the two result factors will be assimilated as a the latest recommendation material that has been combined with the recommendation value of the new website section compared to the results of the previous unit factor analysis.