PERAMALAN TINGKAT PENGHUNIAN KAMAR DENGAN MEMANFAATKAN DATA GOOGLE TRENDS DI PROVINSI BANTEN

Authors

  • Muhammad Fajar BPS Provinsi Banten
  • Teuku M. Madinah BPS Provinsi Banten
  • Hendro Prayitno BPS Provinsi Banten

DOI:

https://doi.org/10.46306/lb.v2i2.63

Keywords:

hotel, google trend, tpk, ARIMAX

Abstract

The purpose of this paper is to forecast the room occupancy rate (ROR) of star hotels by utilizing Google Trends data, in addition to historical ROR data. The data used is the ROR (%) which comes from the Badan Pusat Statistik-Statistics Indonesia and the Google Trends query index using the search word "hotel". The method used is the ARIMAX model. The results of this study indicate that the ARIMAX model has excellent forecasting capabilities. This is shown by the MAPE value which reached 6.541%, which means the added value of the hotel sector in the first quarter of 2021 is not expected to increase significantly.

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References

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Published

2021-08-30

How to Cite

Fajar, M. ., Madinah, T. M. ., & Prayitno, H. . (2021). PERAMALAN TINGKAT PENGHUNIAN KAMAR DENGAN MEMANFAATKAN DATA GOOGLE TRENDS DI PROVINSI BANTEN. Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika Dan Statistika, 2(2), 226-232. https://doi.org/10.46306/lb.v2i2.63

Issue

Vol. 2 No. 2 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika

Section

Articles

Copyright (c) 2021 Muhammad Fajar , Teuku M. Madinah , Hendro Prayitno

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.