Grey Forecasting of Inbound Tourism to Bali and Financial Loses from the COVID-19

Irsyad Yoga; I Gede Agus Yudiarta

doi:10.52812/ijgs.17

Authors

Irsyad Yoga Nanjing University of Science and Technology
Yudiarta Nanjing University of Science and Technology

DOI:

https://doi.org/10.52812/ijgs.17

Keywords:

Bali, COVID-19, Tourism, Grey Forecasting, Financial loss, Indonesia

Abstract

Management and planning in the Indonesian tourism industry is an important matter. It involves responding to changes and uncertain conditions, especially in the tourism industry sector in Bali, Indonesia. Bali is a tourist spot that relies on foreign tourists. When a situation is not conducive, such as the COVID-19 outbreak that befell unexpectedly, proper management and planning are challenging without accurate forecasts. The current study used the Even Grey Forecasting model EGM (1,1,α,θ) to forecast the number of tourists to Bali, a famous tourist spot in Indonesia, and the approximate financial loss incurred from the pandemic in 2020 is quantified. These objectives are achieved through the data collected from the Bali statistical agency and analyzed through the grey model and some mathematical computations. The results indicated that the pandemic's impact on inbound tourism was severe, and the economy needs some time to recover. The study reported a loss of more than $7.3 billion to Bali due to the COVID-19 outbreak. It is possibly the first study of its kind, and its findings are important for the policy-makers, Tour & Travel service providers, and tourism-related businesses.

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