Prediction Of Ship Service Revenue As A Port Income With The Implementation Of Machine Learning

Abstract

In today's era, business analysis is needed in all companies. One of them is by predicting the company's earnings. With a business analysis, a company will more easily evaluate the products or services provided by the company to consumers, find out the company's advantages and disadvantages, and the company can increase business opportunities in the future. To determine income predictions, it is very difficult to calculate manually because of the large amount of data obtained in one month. This method is not efficient. companies need an application that can calculate revenue predictions efficiently but produce accurate results. In this study predict income using data mining methods and forecasting techniques. Machine learning, support vector machine algorithms and the required attributes based on the data obtained as object characteristics to determine a model that will produce pattern knowledge. In this way, machine learning that uses a support vector machine as its algorithm can be integrated into a system to predict the revenue from a company's ship services and display the prediction results for the following month.