Forecasting Room Occupancy Rates in Batu City: Implications for Government Policy Using ARIMA Method

Authors

  • FX Gugus Febri Putranto Badan Pusat Statistik Kota Batu
  • Clarissa Rexana Putri Institut Teknologi Sepuluh Nopember Surabaya
  • Safandra Alifia Prabudhi Institut Teknologi Sepuluh Nopember Surabaya
  • Adina Astasia Badan Pusat Statistik Kota Batu
  • Thomas Wunang Tjahjo Badan Pusat Statistik Kota Batu

DOI:

https://doi.org/10.58411/pangripta.v7i1.244

Keywords:

Tourism, Room Occupancy Rate, Forecasting, ARIMA

Abstract

This study utilizes the Autoregressive Integrated Moving Average (ARIMA) to forecast the Room Occupancy Rate (ROR) for both Star Hotels and Non-Star Hotels in Batu City throughout 2024. Data from 2018 to 2023, sourced from the Central Statistics Agency, informs the analysis. The results indicate a gradual decline in room occupancy rates across both star and non-star hotels. These findings hold significant implications for decision-making within the tourism sector, offering insights to enhance tourist attraction and stimulate economic development in Batu City. By anticipating future trends in room occupancy, stakeholders can strategize effectively, potentially adjusting marketing approaches, infrastructure investments, or tourism policies to address the observed decline. This study contributes valuable information to guide policy interventions aimed at sustaining tourism vitality and fostering economic growth in Batu City.

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Published

16-03-2024

How to Cite

Putranto, F. G. F., Putri , C. R., Prabudhi, S. A., Astasia , A., & Tjahjo, T. W. (2024). Forecasting Room Occupancy Rates in Batu City: Implications for Government Policy Using ARIMA Method. Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan, 7(1), 37–48. https://doi.org/10.58411/pangripta.v7i1.244