Hotel Occupancy Rate Research Articles

STRUCTURAL BREAKS AND VOLATILITY PERSISTENCE IN HOTEL OCCUPANCY RATE

Purpose: Although Singapore has been one of the most attractive destinations for international tourists over the past 20 years, little evidence exists on the dynamics of its hotel occupancy rate. Our study aims to extend this scarce literature Design/Methodology/Approach: The present study employs time-varying volatility processes (e.g., GARCH process) and models the uncertainty associated with the hotel occupancy rate in Singapore. Findings: The main results indicate that shocks to the occupancy rate have a long run persistence and that there are asymmetric impacts in the occupancy rate. Further analysis suggests that structural breaks emanating from extreme news or shocks exert substantial impacts on the level of uncertainty for hotel occupancy rate. Originality/Value: Managers in the hotel industry could benefit from our findings while adopting active measures to reduce risk in tourism demand and hotel occupancy and attract more international tourists.

Modeling the occupancy rate and nights spent at tourism accommodations of Spain using autoregressive deep learning networks

Purpose The purpose of this paper is to autoregressively model the net occupancy rate of beds and bedrooms in hotels and similar accommodations and the nights spent at these accommodations of Spain for the period of 1990–2023 using monthly data. Design/methodology/approach The monthly occupancy rate of hotels and the total number of hotel nights data of Spain for the 1990M01–2023M09 range is considered. An autoregressive deep learning network is developed for the modeling of both metrics. Moreover, the results of the proposed autoregressive deep learning method are compared to those of a classical artificial neural network. Findings The actual occupancy rate, total night data and the deep learning model results are compared showing the accuracy of the developed model. Moreover, the R2, mean absolute error, root mean square error and mean absolute percentage error of the models are calculated further demonstrating the high performance of the developed model. The R2 values higher than 0.9 are achieved for both occupancy rate and total number of hotel nights data. Practical implications The modeling results given in this paper demonstrate that the previous values of the net occupancy rate and the total number of nights can be used as inputs of a deep learning network model by which accurate forecasts can be made for the future values of the occupancy rate and the total number of hotel nights. This modeling approach possesses importance from the practical viewpoint considering that the accurate planning and forecast of the net occupancy rate and the total number of nights affect the tourism income. Originality/value This study differs from existing literature by attempting to model the occupancy rate and the total number of hotel nights data autoregressively using deep learning networks.

Forecasting Hotel Occupancy Rates in Bali Province using the SARIMAX Method with Tourist Data as an Exogenous Variable

Tourism is a crucial economic sector in Bali, Indonesia. Sustainable tourism management requires an understanding of the dynamics between tourist numbers and hotel occupancy levels. This study uses the SARIMAX (Seasonal Autoregressive Integrated Moving Average) method to estimate between the two indicators and reveals a positive correlation between the two indicators. The SARIMAX model effectively captures seasonal patterns and external factors, providing accurate forecasts and supporting tourism management in Bali. Monthly data from 2010 to 2023 were analyzed. Accurate estimates can help tourism stakeholders in formulating appropriate management strategies to optimize the tourism sector. Implementing the right strategy can help ensure the preservation of the local environment and culture, as well as long-term economic benefits for Bali. From the data we use the SARIMAX (6,1,0) (1,1,0)12 model with an AIC value of 1920.553 and a MAPE value of 27%.

Forecasting Occupancy Rate using Neural Network and Decision Tree at Hotel X

Occupancy rate is a critical factor in a hotel because it is used to measure the operational success of a hotel. The higher the hotel occupancy rate, the more successful the hotel business is in generating revenue. In the hospitality business, occupancy rates are very important to monitor and analyse as marketing strategies and pricing policies. This study compares the forecasting of occupancy rates at Hotel X using neural network method and decision tree method. The dataset used in this study is room available, room sold, and available occupancy percentage data at Hotel X from April 2018 to June 2023. The simulation was carried out by dividing the data into training data and testing data with a percentage ratio of 70:30, 75:25, 80:20, 85:15, and 90:10. The forecasting results that have been carried out using a neural network with one hidden layer have an optimal RSME result of 0.010 for split data of 70%:30% and 80%:20% while using a neural network with two hidden layers the optimal result of RSME is 0.013 for split data of 75%:25%. Forecasting results using decision tree RSME optimal results of 0.022 for split data 85%:15% and 90%:10%. From this forecasting, the most optimal results use a neural network with one hidden layer for data splits of 70%:30% and 80%:20% with RSME results of 0.010. The results of the research can be used by Hotel X as a policy determination in the next hotel management.

Analysis of the Influence of Tourist Visits and Hotel Occupancy Rate on Labor Absorption in West Nusa Tenggara Province

This study aims to analyze "The influence of tourist visits and hotel occupancy rates on labor absorption in West Nusa Tenggara Province". The type of research used in this study is quantitative research with a descriptive approach. The type of data used in the study is time series data. The data was processed using the SPSS application using the Multiple Liniear Regression analysis method. The results of this study show that simultaneously the independent variables of tourist visits (X1) and hotel occupancy rate (X2) do not have a significant effect on the dependent variable, namely labor absorption (Y) even though it has a strong correlation. The results of the partial test show that Tourist Visits and Hotel Occupancy Rate have no significant effect on Labor Absorption in the hospitality sector. The results of multiple regression testing of the data in this study recommend the regression equation: Y = 2700.556 + 0.002 X1 + 0.001 X2. The constant value is 2700.556, the coefficient X1 is 0.002 and the hotel occupancy rate is 0.001.

The Role of Information and Communication Technology (ICT) and Tourism on Economic Growth in Indonesia

This study aims toanalyze the influence of ICT and the tourism sector on economic growth in Indonesia from 2015 to 2021 using panel data regression analysis on a total of 238data with the Feasible Generalized Least Square-Seemingly Unrelated Regression (FGLS-SUR) estimation method. The results of the study show that the proportion of individuals who use the internet, the number of fixed broadband subscribers, the room occupancy rate of star hotels, foreign investment, labour, and government spending have a positive and significant effect on economic growth in Indonesia. In this regard, it is hoped that each province will have equal access to the internet and further enhance hotel services, especially for star-rated hotels.The positive impact of this research in Indonesia is that it can help enhance the Gross Regional Domestic Product (GRDP) in each province, thereby influencing overall economic growththrough the fields of ICT and tourism.

Effect Of The Tourism Sector On Economic Growth In Solo Raya, Central Java Province

This study expects to examine the impact of vacationer visits, lodging inhabitance rates, and unfamiliar direct speculation (FDI) on the monetary development of Solo Raya from 2013 to 2022. Financial development implies changes in the economy of a district. The exploration uses auxiliary information from 7 locale/urban communities, specifically Surakarta City, Boyolali Rule, Sukoharjo Regime, Karanganyar Rule, Wonogiri Regime, Sragen Rule, and Klaten Regime, handled through board information investigation utilizing the Decent Impact Model (FEM) technique. The consequences of this study show that, to some extent, the quantity of vacationers has a positive and huge relationship with monetary development, lodging inhabitance rates likewise have a positive and critical relationship with financial development, and FDI has a positive and critical relationship with monetary development. Simultaneously, the number of tourist visits, hotel occupancy rates, and FDI collectively influence Economic Growth in the Java Island Province from 2013 to 2022.

Peramalan Tingkat Penghunian Kamar Hotel Bintang Lima Provinsi Bali Menggunakan Metode ARIMA dan Fuzzy Time Series Lee

This research focuses on forecasting the Occupancy Rate of five-star hotels in the Province of Bali. The increase in Occupancy Rate directly impacts the increase in the number of hotel rooms, which is a key factor for Bali Province as a leading tourist destination in Indonesia and globally. The data used spans from November 2021 to November 2023, with the methods employed being ARIMA with a model of (1,1,1) and Fuzzy Time Series Lee. After conducting the research, the accuracy of the forecast is evaluated through Mean Absolute Percentage Error (MAPE). The MAPE for ARIMA (1,1,1) is found to be 71.4413, while the Fuzzy Time Series Lee method yields a MAPE of 1.1778. With a significantly lower MAPE, the Fuzzy Time Series Lee method is considered more accurate in forecasting the Occupancy Rate of five-star hotels in the Province of Bali for the December 2023 period, with a forecast result of 70.4033%.

Travel Agencies As Marketing Distribution To Gaining Hotel Occupancy, A Case Study In Pangandaran

This research was conducted with the intention of knowing how the role of travel agencies in providing support for hotel occupancy rates in the Pangandaran area, especially Surya Kencana Seaside Hotel. The research was conducted using a literacy study method on various supporting data collected during 2018-2022. The data collected was then analysed for things that affect hotel occupancy rates, especially based on data from guests who book hotel rooms through travel agencies both online and offline. Based on the results of the analysis, information was obtained that sales made through online travel agencies were higher than offline travel agencies . This is because bookings made by consumers are more practical. Currently there are many sites that provide online room booking media services . The presence of online travel agencies greatly affects the world of tourism and is beneficial for hotels in terms of saving promotional costs. The conclusion that can be drawn from this research is that Online Travel Agent still affects the room occupancy rate at Surya Kencana Seaside Hotel because there are many new policies and the latest promotions in attracting customers. Offline Travel Agent must work harder to beat Online Travel Agent in terms of providing support in increasing room occupancy.

Digitalisation and rural tourism development in Europe

This work presents an analysis of the digitalisation of the tourism sector and evaluates the potential of this process for rural areas of the European Union (EU). To do this, we explore aspects of both the supply and demand of rural tourism, proposing a regression model that incorporates indicators that relate the advance of digitalisation with changes in the weight and characteristics of the sector in the regions with low population density included in the NUTS level 2. The research results indicate a positive relationship between the digitalisation of the sector and the supply of rural accommodation, as well as a positive impact on the demand for these facilities. In addition, the study has made it possible to address the potential competition between traditional accommodations and digital platforms, revealing that the greater use of digital platforms for reservations does not negatively affect hotel occupancy rates. The findings underline the importance of digitalisation in the development of rural tourism and suggest possible lines of political action for promoting digital platforms in rural areas.

Analisis Jumlah Wisatawan Nusantara, Jumlah Wisatawan Mancanegara, Tingkat Hunian Hotel dan Jumlah Restoran terhadap Pendapatan Asli Daerah di Kabupaten Magelang

This research aims to analyze the influence of the number of domestic tourists, the number of foreign tourists, hotel occupancy rates, and the number of restaurants on local revenue in Magelang Regency. The research method used is multiple linear regression using the Eviews 12 program, using data from the Central Statistics Agency of Magelang Regency and BPS Central Java from 2008 to 2021. The results of the research show that the number of domestic tourists, the number of foreign tourists, and the hotel occupancy rate are not has a significant influence on local revenue, while the number of restaurants has a significant influence on local revenue in Magelang Regency. In conclusion, the important role of restaurants in increasing regional income through the tourism sector. Keywords: Number of Indonesian Tourists, Number of Foreign Tourists

Perbandingan Tingkat Penerimaan Pajak Hotel Dan Pendapatan Asli Daerah (PAD) Di Daerah Kota Malang

Regional Original Income (PAD) is often used as a comparison material between districts/cities in Indonesia. Not only the amount, but also the composition of the amount of regional income apart from balancing funds and other legal regional income is interesting to consider.studied. Generally, PAD revenues are dominated by local taxes. Unfortunately, the types of local taxes are too rigid, making it difficult for districts/cities to innovate in order to increase PAD. To increase PAD, the first step that is needed is to analyze the potential of each region. By using documentsthe output of the Malang City Government between 2018-2022 which is analyzed quantitatively, this paper finds the results that economic development has changed the regional potential. Hotel taxes are a source of income that has high potential as a source of income for the people in Malang City as a tourist. This study aims to determine and analyze hotel tax in Malang city based on the number of hotels, the number of hotel occupancy rates, and the number of tourists on hotel tax revenue in Malang city for the period 2018 – 2022. The method used in this research is descriptive analysis and multiple linear regression analysis. Descriptive analysis is to describe the picture research data consisting of the number of hotels, the number of hotel occupancy rates, and the number of tourists in Malang City from 2018-2022. Meanwhile, multiple linear analysis serves to prove the hypothesis of the effect of the number of hotels, the number hotel occupancy rate, and the number of tourists to hotel tax revenue in Malang City. The results of this study indicate that the number of hotels, the number of tourists and occupancy rates have a significant effect on hotel tax receipts

Pengaruh Sektor Pariwisata Terhadap Pendapatan Asli Daerah (PAD) Di Kabupaten Alor Provinsi Nusa Tenggara Timur

This study aims to analyze: 1) the effect of the number of tourists on local original income in Alor Regency, 2) the influence of tourist attractions on local original income in Alor Regency, 3) the effect of hotel occupancy rate on local original income in Alor Regency, 4) The effect of the number of tourists, tourist attractions and hotel occupancy rates in Alor Regency. The type of research used in this study is quantitative descriptive research. Data types and sources use a quantitative approach with secondary data in the form of time series data with an observation period of 2011-2021. The results showed that: hypothesis First, a positive and significant influence between the number of tourists on local original income in Alor Regency as shown by a coefficient value of -894960.9, Because the calculated t value is -0.332076 < t table 1.943 with a significant value of 0.7511 > α = 0.05, then reject Ho and accept Ha. This means that if the number of tourists increases by one percent, it affects the original income of the Alor Regency area by 0.332076.Second, tourist attractions have a significant and positive effect on the original income of the region in Alor Regency, which is shown by the value of the coefficient of 4.59E + 08. The value of this coefficient is significant because the calculated value of 0.607077 < ttable 1.943 and significant 0.5660 >α = 0.05 then reject H0 and accept Ha. This means that if the tourist attraction increases by one percent, the original income of the Alorakan Regency area increases by 0.607077. Third, the hotel occupancy rate does not significantly affect the local original income, which is indicated by the coefficient value of 6.44E+09. The value of this coefficient is not significant because the calculated value, 0.624792 > ttable of 1.943 with a significant value of 0.5551 >αα = 0.05 then reject H0 and accept Ha. This means that there is no influence between hotel occupancy rates on the original income of Alor Regency. Fourth, the number of tourists, tourist attractions and hotel occupancy rates simultaneously have a positive and significant effect on the original income of the Alor Regency area, which is indicated by the value of Fcalculate 53.71137 > Ftable 3.326 and a significant value of 0.038976<α = 0.05, then reject H0 and accept Ha. This means that the number of tourists, attractions and hotel occupancy rates can affect the variance in local original income by 54% and the rest is explained by other variables.

Studi Potensi Ekonomi SUB Sektor Pariwisata Religi Terhadap PAD Kabupaten Bangkalan: Pendekatan Prediksi Panel

From year to year, the halal industry trend is increasing in demand. This is caused by consumer trust in halal products. Halal products are increasingly popular because they guarantee cleanliness and safety in their use. Halal products are not only in the financial sector, but more than that, including halal food, halal cosmetics, sharia tourism or halal tourism, and so on. This research aims to determine the effect of government spending, hotel occupancy rates, tax revenues, labor force participation rates, number of tourists, and consumption on Regional GDP per capita. This research uses secondary data obtained from BPS Bangkalan Regency. The data analysis technique uses the common effect model (CEM) as part of panel data. Based on the results of data processing, it was found that hotel occupancy rates, tax revenues, labor force participation rates, number of tourists and consumption had a positive and significant effect on Regional GDP per capita of Bangkalan Regency. The government expenditure variable has a positive relationship, but has no significant effect on the Regional GDP of Bangkalan Regency.

Strategi Komunikasi Pemasaran Hotel dalam Meningkatkan Angka Okupansi: Studi Kasus Hotel Yasmin Karawaci Pasca pandemi Covid-19

Life after the Covid-19 pandemic has started since the middle of 2022. The impact of the Covid-19 pandemic has brought losses to business people, one of which is hotel services, which can be said to be the first to be affected by the Covid-19 pandemic and experience delays in recovering it. This research aims to find out the marketing communication strategy carried out by Hotel Yasmin Karawaci in increasing the occupancy rate after the Covid-19 pandemic. Having been used as a quarantine place for Covid-19 isolation patients for 2 years, the Yasmin Karawaci Hotel had to rise again to increase hotel occupancy rates and convince guests and potential guests that the hotel was free from the spread of Covid-19. To explain this situation, researchers use qualitative methods. The results obtained are that Yasmin Karawaci Hotel has carried out a good and effective marketing communication strategy in increasing hotel occupancy rates which refers to the "marketing communication mix". By implementing this strategy to attract guests and potential guests who want to stay at the hotel, it is evident that the number of guests has increased gradually. To overcome the obstacles experienced in implementing the post-pandemic Covid-19 marketing communication strategy, Hotel Yasmin Karawaci always conducts evaluations with hotel staff and employees.

Faktor-Faktor Yang Mempengaruhi Pelanggan Dalam Pemesanan Kamar Hotel Grand Savero Hotel Bogor Secara Online

Tourists' desire to visit Indonesia needs to be accompanied by ease of accessibility, facilities offered and availability of accommodation facilities. Hotels are a form of accommodation that supports tourism activities, where the availability of hotels becomes a supporting facility for tourists visiting a country. And along with the growth of the world of Indonesian tourism, the history of hotels in Indonesia also plays a role in its success. The existence of hotels in Indonesia is of course very much needed in the tourism industry, considering that without adequate accommodation, it is impossible for tourists to want to visit. Increasing tourist visits is a promising business prospect for investors to set up hotels. This increasing hotel construction is due to an increase in demand for occupancy rates every year. The increase in hotel occupancy rates in all provinces across Indonesia is accompanied by the rapid development of the hotel industry. Apart from that, nowadays society is made easier by increasingly sophisticated technology, this means that tourists who want to travel or travel can do it easily using gadgets. Starting from ordering transportation tickets, accommodation, restaurants and so on. This research was conducted to find out what factors encourage customers to make reservations at the Grand Savero Hotel online. The technique used in this research is the method of filling out a questionnaire. The research results show that there are four factors that encourage customers to make hotel reservations online, namely discounts, convenience, seeing other customer reviews, not being able to come directly to the hotel,
 Keywords: Hotel room reservations, customer decisions, online travel agent

Effects of China's pilot low-carbon city policy on carbon emission reduction in the hotel industry: A quasi-natural experiment in tourism cities

A low-carbon pilot city bases its economy on energy efficiency, demonstrating an environmentally friendly development model and establishing a sustainable energy ecosystem. Establishing low-carbon pilot cities exerts both actual and exemplary effects in decreasing its CO2 emissions. However, research in the field of low-carbon measures has frequently bypassed their particular effects on sectors with high emissions, such as the hospitality industry. This study seeks to fill this void by assessing the influence of low-carbon city pilot policies (LCCP) on the hotel sector's carbon footprint. The analysis uses a PSM-DID model to review emission data across 49 prominent tourist cities in China over the period 2010–2020. It contrasts emission patterns between pilot and non-pilot cities. Findings reveal that LCCP markedly cuts CO2 output in hotels. This cutback stems from sectoral change, the growth of higher-rated hotels, and enhanced hotel occupancy rate. The policy's effects are especially strong in affluent regions and international tourist cities. These results point to LCCP's crucial contribution to sustainable hotel practices. The study emphasizes the necessity for precise environmental regulations in energy-intensive industries to meet wider sustainability objectives.

Building new hotel brand reputation to attract guest in Semarang city

The hotel industry is an industry that plays an important role in the development of the economy and tourism in Indonesia. The research aims to elaborate brand reputation for new hotels in Semarang. This article uses descriptive research using descriptive qualitative research methods assisted by data collection through documentation and literature study. The research will be conducted using AIDA theory on the 5 newest hotels built in the last 3 years in the city of Semarang. The results show that an increasing of guests in numbers. with the help of AIDA theory, and comparison, it shows that we can still be able to save the hotel industry so that it will not perish that the Room Occupancy Rate (ROR) of star-rated hotels in semarang city for the November 2021 period was recorded at 60.25 percent or an increase of 4.12 points compared to October 2022, which was influenced by the increase in ROR that occurred in the class of 2-star, 3-star, 4-star and 5-star hotels (BPS, 2023). It can be concluded that the ratings that guests give to hotels have good feedback such as good and friendly service, comfortable rooms, strategic hotel location. New hotel gain market awareness due to the needs of customer especially in this recent time. Due to an increasing of numbers in covid cases, and with many new hotels, it shows the interest of hospitality industry. Hotel must do more to promote and get more customers.

Macau hotel industry’s response to global shocks

This study examines the Macau hotel industry’s response to global shocks using vector autoregression analysis. According to the findings, the hotel occupancy rate reacts negatively to a one-standard-deviation shock in global geopolitical risk. However, this reaction decreases after the second period and completely loses its effect after the fourth period. Hotel occupancy rate responds weakly and short term negatively to the shock of global economic policy uncertainty. The hotel industry reacts short term, weakly, and positively to a shock in US monetary policy uncertainty. According to the variance decomposition results, at the end of the tenth term (long-term), 96.25% of the change in hotel occupancy rates is explained by their own dynamics. The rest is 3.00% geopolitical risk, 0.5% US monetary policy uncertainty, and 0.25% economic policy uncertainty.

Propose Marketing Strategies of Oasis Siliwangi Sport Hotel to Increase Brand Awareness and Purchase Intention

After the outbreak of the COVID-19 pandemic in 2020, there was a rise in tourist visitors from different parts of Indonesia to Bandung, resulting in a direct boost in the occupancy rate of star hotels in the city. Because of this growth, numerous hotels developed, with the majority being 3-star establishments. The Oasis Siliwangi Sport Hotel is a three-star establishment in Bandung, offering a range of facilities and an ideal location. Oasis Siliwangi Sport Hotel in Bandung is now struggling with a lack of brand awareness, resulting in potential customers being unaware of the hotel’s existence and room occupancy rates. Consequently, this has led to a decline in the intention to make reservations. The objective of this study is to determine the variables that influence the level of brand awareness for Oasis Siliwangi Sport Hotel and develop effective marketing strategies to enhance the likelihood of customers choosing to stay at Oasis Siliwangi Sport Hotel. Data collection comes from primary data and secondary data. The primary data collection strategy is quantitative, utilizing a questionnaire for consumer analysis and hypothesis testing. Secondary data will be acquired from national and international scientific journals, previous research, book literature, government reports, and other reliable source of internet sites. The survey was disseminated to 217 potential target market participants with prior experience lodging at the hotel. The gathered data is analyzed using SMART PLS. The research findings indicate that Advertising and Social Media Marketing positively influence Brand Awareness. Furthermore, brand awareness, price, and facilities influence customer’s purchase intention. Based on these findings, several recommendations and strategies are made. These include create exciting bundling package and loyalty program, optimize promotion activities, utilize advertising to reach consumers, and strengthen hotel facility.