Forward chaining method on selecting low cost green car with rule based

Abstract

Low cost green car (LCGC) is one of the latest breakthroughs conducted by the automotive industry, especially in Indonesia. This eco-friendly concept car provides an alternative choice that better suits the needs of consumers in Indonesia. Expert System using Forward Chaining method is intended to predict LCGC car as needed. Data were collected through observations and interviews conducted through sales and auto mechanics or experts who knew more about market conditions and community needs. The results achieved is to design an expert system applications predict LCGC cars according to consumer desires based on the type of transmission, color and price. In addition in this expert system application also displays video trailer car category LCGC to facilitate consumers to make choices. Long-term objectives in the application can be complemented with information on the advantages and disadvantages of LCGC cars and the spread of workshops or official or unofficial dealerships so that the community finds it helpful. The conclusion of this research is Forward Chaining method can be used to perform a search to get predicted LCGC car prediction results.