The design of the least square method on sales of admission tickets to Madura tourism in forecasting cases
Fifin Ayu Mufarroha, Akhmad Tajuddin Tholaby, Devie Rosa Anamisa, Ahmad Jauhari · AIP conference proceedings · 2023
The prediction system that has been made is a system that can help provide forecasts of tourism ticket sales in the future. The system is web-based so that it can be easier to use. The importance of analysis and modeling in problems in the development of prediction systems, To provide references and instructions to developers in making the system. This research proposes the modeling stages in designing the system, including problem identification, data collection, literature study, analysis, design, development, and evaluation. It is done to collect information related to the problem with interview and observation techniques, then collect tourism data on all tourism in Bangkalan district and collect literature studies related to the least square method. The error test on the least fair method is carried out using the error test level method (error) using MAD and MAPE. Tests are carried out to find out the nominal error value, so that it can be used as a value recommendation in forecasting for the next period. The calculation result of MAD from this research is 402.16, while the calculation result from MAPE is 10.54. The result, the breakdown of system requirements at the analysis stage and the design system using a use case diagram. And finally, a web-based prediction system has been built based on the locations that have been passed.