Expert System for Camcoder Buyer�s Guide with User Satisfaction Prediction

Abstract

A demand of camcorder is increasing rapidly following the development of technology especially in Indonesia. However, public knowledge in camcorder is still very poor so that sometimes people do not buy a camcorder according to their needs and it is risky to fraud. Therefore, we develop a system that can be used to help and give advice which camcorder type fit well the user s need. Our application is made based on expert system method which near to Artificial Intelligence (AI) that makes this application can give a suggestion to buy some products. We made this application with a sophisticated interface, for example in each products output, we will calculate the percentage of the user satisfaction with the product. The application is embedded into a website so user can easily use it without downloading the application first.