IMPLEMENTASI JARINGAN SYARAF TIRUAN UNTUK MENGIDENTIFIKASI POLA DESAIN PRODUK BERDASARKAN PREFERENSI PELANGGAN MENGGUNAKAN KANSEI ENGINEERING SYSTEM
ABSTRACT: Kansei Engineering
System (KES) is of technologies in ergonomics that support human-centered
design. In Japanese, Kansei means customers’ taste to a certain product. The
research aims to apply KES Type II (a more recent development of KES)with
artificial neural network (back propagation model) and traingdx learning algorithm
to identify product design that fits best with customers’ taste/preferences.The
model developed is able to generate a design for steering wheel with various
atributes; namely shape of button, number of spokes, material of spokes,
texture of grip, style of grip, and color. These atributes are results from 16
pairs of Kansei words which is reduced into five main factors; namely
aestethics, emotional evaluation, color, texture, and product reliability.
Keywords: Kansei Engineering
System, artificial neural networks, back-propagation, customers’ preferences
Penulis: Ibnu Mastur, Lumenta
Hadi
Kode Jurnal: jptindustridd050009
