IMPLEMENTATION OF SUPPORT VECTOR REGRESSION IN THE PREDICTION OF THE NUMBER OF TOURIST VISITS TO THE PROVINCE WEST NUSA TENGGARA (NTB)

Abstract — Indonesia has a variety of exciting tourist destinations to visit in each region. One area that is
used as a favorite tourist destination is the Province
of West Nusa Tenggara (NTB). Data, The number of tourists visiting the NTB province from 2014 to 2020 tends to change based on data obtained from the NTB Provincial Tourism Office website. The data on the number of visitors will continue to change, even if it is possible to increase. It can lead to the unpreparedness of the government and other tourism actors to provide the facilities and infrastructure needed by visitors when there is an increase in the number of tourist visits coming to NTB. Therefore, it is necessary
to predict the number of tourist visits to NTB with accurate results. In this study, predictions of the number of tourist visits to the Province of NTB were made using the support vector regression method. This research resulted in an application to predict the number of tourist visits to NTB based on Event, Month, and Year. Provide predictive results close to the actual value under normal conditions. The data used in this study is data on the number of tourist visits in 20172021 and events held in 2017-2021.