Abstract
The BCA Merchant analyst team found difficulties in determining the decision to submit the best prospective Merchant because it was still manual. Sometimes it resulted in decisions that were not right on target when they were given but the EDC machine was not used by the business owner because the business location was not strategic and quiet, as a result Bank BCA suffered losses due to spend cost or machine maintenance costs every month. To overcome this problem, decision making for the submission of BCA EDC machines using the ORESTE method is applied so that the problem has been resolved. Ranking in the Oreste Method in this study takes the highest value based on data calculated from predetermined variables and criteria. The end of the calculation based on the Oreste method will give the highest to lowest preference value, the highest result is the best value from the calculation process carried out in the application for the EDC machine and the proper and unworthy merchants are found in its teaching.
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