Implementation Regression and Naïve Bayes to Predict and Classify Data Asset at Educational Institutions

Regional assets represent regional assets which in essence belong to the respective provincial government. These government assets can play a role as collateral for regional development. The preparation of asset documents aims to safeguard assets from the aspect of regional administration. In this study, to process prediction analysis use the regression method, and to process classification use the Naive Bayes method. The purpose of this study was to predict and classify data asset that will be used and categorized according to regional planning using Regression and Naïve Bayes Method. This research was conducted using the Python programming language and the Visual Studio code