Koperasi Sejahtera Mandiri provides money lending services to its members based on the main criteria for lending limits. This money lending service has constraints such as the many requests of members who want to borrow money, causing cash in the cooperative is not sufficient to provide loans. This study aims to select members who want to borrow categorized based on lending limits to be given recommendations for lending. The data collection techniques and methods used were interviews with the chairman of the cooperative to get the dataset. The next process is to classify using the dataset obtained and group data by borrower category and type of loan using C4.5 Algorithm. From the calculation process using the C4.5 Algorithm, it is obtained which member recommendations should be given loans and which should not, so that money lending transactions do not cause losses for cooperatives.