Collaborative filtering ambient preference of batik contemporary quality / Izyan Iryani Mohd Yusouf

Collaborative filtering is the best method to predict the consumers of products by
preserving the data of user system. Collaborative filtering is the database for
web-based system as the database to retrieve back the data from the past
consumers. It is t>eneficial for user of the system to find the preference
products.
The Objectives of this research are to identify an ambient perception on batik
quality, to categorize an ambient selection of batik in terms of its quality and
finally to propose a model of ambient perceives on batik quality as a review
components of recommender system.
There are several method used to collect the data and information needed in
this research, primary and secondary resources are used in order to fulfill the
research objectives. Primary data are collected through the distribution of
questionnaire and interviews. While secondary data is taken from journals and
internet resources. All the data gathered from this research were analyzed
using SPSS 11.5 software, Microsoft Powerpoint to build the charts and Rational
Rose to build the model. Data were presented in the form of frequency
distribution tables for selected variables, and via graphical presentation like bar
and pie charts.