MODELING OPTIMALLY OF EXCELLENCE IN PREDICTING CUSTOMER PROFILES ON BUSINESS METRICS WITH ROBUST NONPARAMETRIC REGRESSION

Digital payment technology has brought a business trend that makes it easier to see revenue conditions or what is called a profitable difference. Various new ways are used to achieve success, one of which is with an electronic-based business, but with such a large number of variations, uncertainty in business is also increasingly difficult to predict. Especially predicting in the next few years what activities will often occur. Prediction itself is a process of systematically estimating something that is most likely to happen in the future based on past and present information. To keep up with the development of the company, it is necessary to optimize the metrics for the business. The purpose of optimization is to find the minimum or maximum value of a problem that occurs, whether the value of a company produces the desired results or vice versa. Optimization in predicting profit can use robust nonparametric regression, where robust regression is used to detect outliers and provide resistance to outliers., where the outliers obtained are one of the parameters that can be considered in achieving profit.