Application of Kansei Engineering and Data Mining for the Eyewear Industry in Jakarta

The importance of eyeglasses is increasing in the present day. Myopia has a significant increase globally, with the highest prevalence of myopia in Asia-Pacific, East Asia, and Southeast Asia. Girls are more prone to suffer myopia and have more risk factors than boys in Asia. As eyeglasses' uses started to be more progressive at age 6 to 22 years, the purpose was to identify the Kansei words and to translate them into authentic eyeglasses design that teen girls in Jakarta desire. One hundred teen girls had contributed to this study by comparing 16 Kansei words, including modern, elegant, casual, beautiful, comfortable, attractive, good quality, aesthetic, trendy, light weight, practical, durable, affordable, strong, fit to hand and ergonomic against ten eyeglasses pictures. Data mining method was applied to fmd the connection between eyeglasses' whole appearance and emotions captured in a shorter time. This experiment achieved decision tree classification and association rules technique with Waikato Environment for Knowledge Analysis (WEKA). The best Kansei design of eyeglass for teen girls is round shape, titanium material, light-colored, full-frame, and plain surfaces. (C) 2022 Jordan Journal of Mechanical and Industrial Engineering. All rights reserved