This project is to develop a system for recommend buying a Honda car installment by analyzing data segmentation k mean clustering to the end user. By applying an algorithm to the K-means and the sum of the deviations out the reference point squares (Square Sum Error) for the Group of the appropriate information to the user. By using the information in the decision is how to apply car price. Percentage of down, the amounts and the monthly installment amount.