Record Details

Implementasi Jaringan Syaraf Tiruan Untuk Mengidentifikasi Pola Desain Produk Berdasarkan Preferensi Pelanggan Menggunakan Kansei Engineering System

2. On-line Journal of Universitas Islam Indonesia

View Archive Info
 
 
Field Value
 
Title Implementasi Jaringan Syaraf Tiruan Untuk Mengidentifikasi Pola Desain Produk Berdasarkan Preferensi Pelanggan Menggunakan Kansei Engineering System
 
Creator Ibnu Mastur
Lumenta Hadi
 
Description 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.
 
Publisher Jurnal Teknoin
 
Contributor
 
Date 2009-03-25
 
Type Peer-reviewed Article
 
Format application/pdf
 
Identifier http://journal.uii.ac.id/index.php/jurnal-teknoin/article/view/211
 
Source Jurnal Teknoin; Vol 10, No 3 (2005)
 
Language en