The purpose of this study is to determine the extent to which Batu City's local revenue is impacted by the number of tourists, hotel occupancy rates, and dining establishments throughout the 2011–2023 timeframe. Secondary data using a quantitative methodology was employed in this investigation. The information is in the form of time series data on Batu City's local income, restaurant count, hotel occupancy rates, and tourist visits. SPSS 25 was used to analyze the data and use multiple linear regression analysis techniques. It is possible to draw the conclusion from the study's findings that the number of restaurants, hotel occupancy rate, and tourists all have a major impact on Batu City's initial revenue. For the years 2011–2023, the number of visitors has a major impact on Batu City's initial perception of the area, the hotel occupancy rate has a substantial negative impact, and the number of restaurants has no significant impact.
Candraningtyas et al. (Tue,) studied this question.
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