SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT PINJAMAN UANG TUNAI MENGGUNAKAN METODE DECISION TREE --

ABSTRACT
The development of an increasingly modern world today makes the need for an item in human life increasingly unlimited, and the consumptive life of today's society is not balanced with the per capita income of each individual. This makes banks in Indonesia and other countries, especially conventional banks and other financial institutions (non-banks), provide convenience to every community in financing in the form of purchasing goods and borrowing money in the form of credit. Loans on credit usually require collateral in the form of fixed goods, movable goods, or securities. With these problems, it is necessary to have a solution to the problem by making a DSS (Decision Support System).
The purpose of the study was to determine the feasibility of a cash loan by looking at the factors concerned by using a Decision Support System using the decision tree method.
In this study, the results of this decision tree classification resulted in rules generated using existing data. In the visualization of the results later, we will create an application program using the python programming language using google collaborative where the application produces a clean data classification to the user. The workings of this application, starting with preprocessing raw data so that it is suitable for use then importing loan parameter data in Excel (.csv) file format, then doing classification with the trained model, Visualization of the trained Decision Tree model.
Keywords: Credit Lending, Decision Support Systems, Decision Tree.