Decision support application may provide predictive determination of a thing, in this case in determining the prediction of hypertension and loan money to the bank. the existence of an application that can provide quick decisions on both cases, and we can did a reaction of that case can be done right and quickly for decision making process. hypertension is a disease called the "silend killer" which can kill the patient gradually unconscious. most people are lazy to check their health, particularly their blood pressure. this decision support application can also help the bank to determine wethey they will approve the proposed loan by the customer, so that the bank can void losses resulting from bad credit borrowers. for that we need more research in the hypertension data and customer data were applying for loans, to know that there are patterns of data from these data, or better known as data mining. data mining is the process is to dig a heap of valuable information from the data or the data to find the graves of data patterns that emerge from the hypertension and loan approval. this data pattern will be processed using decision tree classification method. by using decision tree classification of the data processed and modified from the decision tree and decision rules. this rule is used in making decisions in the determintaion of the application. that can help communities and the bank in determining a better decision.