Forecasting the Number of Foreign Tourist Visits in Sabang in the Next Five Years

Herlina Herlina; Muhammad Muhammad

Proceedings of the 3rd International Conference on Economic and Social Science, ICON-ESS, 17–18 October 2018, Banda Aceh, Indonesia

Research Article

Forecasting the Number of Foreign Tourist Visits in Sabang in the Next Five Years

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.17-10-2018.2294204,
    author={Herlina  Herlina and Muhammad  Muhammad},
    title={Forecasting the Number of Foreign Tourist Visits in Sabang in the Next Five Years},
    proceedings={Proceedings of the 3rd International Conference on Economic and Social Science, ICON-ESS, 17--18 October 2018, Banda Aceh, Indonesia},
    publisher={EAI},
    proceedings_a={ICON-ESS},
    year={2020},
    month={4},
    keywords={forecasting foreign tourists the number of tourists},
    doi={10.4108/eai.17-10-2018.2294204}
}

Herlina Herlina
Muhammad Muhammad
Year: 2020
Forecasting the Number of Foreign Tourist Visits in Sabang in the Next Five Years
ICON-ESS
EAI
DOI: 10.4108/eai.17-10-2018.2294204

Herlina Herlina¹^,*, Muhammad Muhammad²

1: Lecturer at the Faculty of Economics and Education, Universitas Serambi Mekkah
2: Lecturer at Chemical Engineering, Universitas Serambi Mekkah

*Contact email: herlina.smanap@gmail.com

Abstract

This study aim to forecast foreign tourist visits in Sabang. The study utilized the secondary data obtained from the Sabang Culture and Tourism Office and Aceh Province. Data was analyzed by using Excel program, because the data was only five years. The results of the study show a trend estimate: Y = 117060x + 216768. The R² value is 0.9879 which is an appropriate or appropriate model. With the increasing number of tourists, the effort to search for development strategies always needs to be carried out continuously. Furthermore, the data can be reproduced with an additional five years before the forecast starts.

Keywords: forecasting foreign tourists the number of tourists

Published: 2020-04-28
Publisher: EAI

: http://dx.doi.org/10.4108/eai.17-10-2018.2294204