Open AccessSVM Approach for Forecasting International Tourism Arrival In East Java
Author(s) -
Evita Purnaningrum,
Muhammad Athoillah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1863/1/012060
Subject(s) - java , tourism , procurement , support vector machine , government (linguistics) , computer science , projection (relational algebra) , work (physics) , operations research , business , artificial intelligence , geography , marketing , engineering , operating system , algorithm , mechanical engineering , linguistics , philosophy , archaeology
The maneuver of international tourists visiting Indonesia, especially the East Java area, in positive correlation with time. In accordance with the government’s work program to increase GDP from the tourism sector. However, the condition necessary to be supported by the existence of feasibility and adequate tourism services. Facility improvements certainly require a projection of international tourist arrivals visiting East Java. SVM is a machine learning method that has shown excellent performance in predicting time series. In addition, analysis results have shown that SVM had able to predict foreign tourist visits with a high degree of accuracy. Therefore, this research can be used as a support for tourism facility procurement policies, especially in East Java.