Inductive learning was found to depend on acceptance. The basis of induction research is the decision tree method . This method uses inductive methods to correctly classify objects based on the quality they provide. These calculations are very useful for characterizing articles and are often used in the main frame. When any new quality is added, the ID3 decision tree learning calculation is used to see if there is any progress in the selection principle currently granted to PUCC (Pollution Treatment Certificate). Three studies were conducted on the PUCC issuance, each of which added a new feature to the data set, thereby providing decision rules.