International Journal of Scientific and Research Publications

IJSRP, Volume 11, Issue 5, May 2021 Edition [ISSN 2250-3153]


Comparison between Linear Regression, Support Vector Machines, and Neural Networks in Forecasting the Number of Foreign Tourist Visits to Indonesia
      Fahirah, Sutresna Wati
Abstract: The tourism sector is one of the largest foreign exchange contributors to the countrys economic growth. One of the determining factors for tourism development is the number of foreign tourist arrivals. It is necessary to carry out development, planning strategies that appropriate, effective, and efficient to increase foreign tourist arrivals. Business Intelligence is one of the digital trends and the main digital marketing strategy for Digital Tourism by implementing data mining for data analysis, including forecasting. There are various kinds of forecasting methods, but the problem is in choosing the best method for the problem and the desired output.

Reference this Research Paper (copy & paste below code):

Fahirah, Sutresna Wati (2021); Comparison between Linear Regression, Support Vector Machines, and Neural Networks in Forecasting the Number of Foreign Tourist Visits to Indonesia; International Journal of Scientific and Research Publications (IJSRP) 11(5) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.11.05.2021.p11330
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