SISTEM FORECASTING REVENUE HOTEL XYZ MENGGUNAKAN ALGORITMA DECISION TREE

Abstract

A hotel is a type of accommodation that is used as a provider of lodging, food and beverage services, as well as other services used by the general public. The hotel is managed on a commercial basis that meets the requirements stipulated in the Menparpostel's decision letter. Hotel revenue is a company activity that generates overall income which has two consequences, namely positive influence or income and profits and negative influence or expenses and losses. Hotel rooms are one of the main components produced by hotels as a determinant of the level of success of hotel operations. Forecasting hotel revenues can help entrepreneurs predict future revenues by using revenue data from the previous year. This analysis can help entrepreneurs determine strategies and policies to both increase their income and streamline existing costs. Therefore, researchers conducted a Decision Tree Algorithm analysis in predicting XYZ hotel revenue. The stages carried out in this research are data collection, initial data processing, further data processing (Forecasting), and comparative analysis. The results of this research, the DT algorithm produces an RMSE value of 45499674,430 with data split 81:19.