Comparation Logistic Regression and Decision Tree Method to Distribution Type of Works in Jakarta

In the digital era, the data is one of the components that are important in decision making. Data must be processed first so that it can be understood by the recipient data. The results of data processing is called information. In this study, the method used are Logistic Regression and Decision Tree. Both of these methods are included in the classification method. The purpose of this study was to determine the accuracy of the data from implementation of methods logistic regression and decision tree. This research was conducted using the Python programming language and the Visual Studio code.