Room Rates Research Articles

Analisis Laju Dosis Paparan Pada Penggunaan Mobile Shielding di Ruang Panoramik RSUD Koja

Panoramic is an extra oral examination that can produce an image of the entire mouth in a single exposure to speed up the examination. However, a panoramic examination takes several seconds until the collimator finishes surrounding the object. Therefore, knowing how to properly use self-protective devices and monitor radiation exposure is necessary to optimize radiation safety control. This study aims to analyze the feasibility of using mobile shielding as self-protection during exposure to a panoramic examination. This study was conducted at Koja Hospital in February - June 2023 using an analytical, quantitative method to measure the exposure dose rate in the panoramic room of Koja Hospital. Measurements are made using a calibrated survey meter measuring instrument. The result of measuring the initial exposure at a distance of 100 m is 84.19 µSv. Data analysis shows that the exposure received by radiation workers is far from the established dose limit value, so mobile shielding used as a self-protective device in the panoramic room of Koja Hospital is still worth using with high-efficiency values of 99.16% and wood+Pb at 99.14%. Although the rate of exposure dose received is still far from the dose limit value, workers should be careful when using radiation to minimize health risks. Keywords: radiation shielding, mobile shielding dose rate, effectiveness

Chateau de Montana: Applying Data Analytics to Simulate Room Price of a Repositioned Hotel

Nicolas Dupont, the owner of Chateau de Montana, a struggling (and old) boutique hotel in Crans-Montana Ski Resort, Switzerland, wished to renovate and reposition his family-owned hotel to target higher room rates. Dupont commissioned Olga Mitireva and Yulia Belopilskaya as consultants to assess the proposition. The consultants had to extract cues for the room rate of the repositioned hotel from comparable hotels. However, the room rates varied significantly across similar hotels due to their differing characteristics and locations. It was a cognitive challenge to read the patterns from a few comparable hotels. They collected the data of 200 hotels from similar locations and simulated room prices using hedonic regression models.

The Influence of Linguistic Styles in Property Titles on Room Rates: A Hedonic Pricing Model

Consumers are drawn to the inherent quality of a product or service and how it is portrayed and described. This study investigated the impact of language used in property titles on pricing strategies and financial performance in peer-to-peer (P2P) accommodations by adopting the Language Expectancy Theory (LET) as a theoretical framework. The findings of this study demonstrate the significance of linguistic styles in property titles for determining P2P room rates, rental volume, and overall performance. Property titles that exhibit formal, logical, and hierarchical thinking are perceived as more sincere, personalized, and informative, resulting in higher rates, more significant rental volumes, and improved overall performance. On the contrary, properties with titles that convey expertise, and confidence, or adopt a positive and upbeat style tend to put lower room rates and yield lower performance yet generate higher volumes. This study expands the application of LET to P2P communication between an Airbnb host and a potential guest.

Advertising fee as a new supply chain coordination approach between hotels and online travel agencies

PurposeChannel coordination has become an essential part of researching hotel supply chain management practices. This paper develops an improved channel coordination approach to coordinate the profit distribution between hotels and online travel agencies (OTAs) achieved through an introduction of advertising fees. This direction further improves the decentralization of cooperation and achieves Pareto improvement to achieve mutual profitability.Design/methodology/approachThe methodology used in this study involves Stackelberg game theory employed for the decision-making and analysis of both the hotel and OTA. The OTA, acting as the leader, offers a hotel a contract specifying the commission rate that the hotel will pay to the respective OTA. The hotel, acting as a follower, sets a self-interested room rate as a given response. A deterministic, price-sensitive linear demand function is utilized to derive possible analytical solutions once centralized, noncooperative decentralization and cooperative decentralized channel occurs.FindingsResults show that a new channel coordination approach is possible, namely via advertising fees. Prior to channel coordination, the OTA tends to set a higher commission rate, and the hotel sets a higher room rate in response under noncooperative decentralization. As such, this results in a lower channel-wide profit for all. One way to reduce channel-wide profit loss is to use a method of cooperative decentralization, which can, and will result in optimal profit as centralization takes place. However, the lack of incentives makes cooperative decentralization unfeasible. Further improvement is possible by using advertising fees based on a cooperative decentralization agreement, which can reach Pareto improvement.Practical implicationsThis paper helps the OTA industry and hotel owners cooperate by way of smoother coordination. This study provides practitioners with two important practical implications. The first one is that the coordination between the hotel industry and OTA through cooperative decentralization allows for the achievement of higher profitability than that of noncooperative decentralization. The second one is that this paper solves the outstanding problem of insufficient incentives characteristic of cooperative decentralization by means of an advertising fee as a new supply chain coordination approach.Originality/valueThis paper offers both the problem and solution regarding the lack of incentives that hamper cooperative decentralization without the use of advertising fees. This paper is unique in that it derives analytical solutions regarding commissions levied in a typical hotel supply chain under noncooperative decentralization.

Boutique Hotel Service Digitalization: A Business Owner Study

The COVID-19 pandemic has generated negative, economic impacts on the tourism and leisure sector in Thailand, especially small boutique hotels. These hotels have had to develop more efficient and innovative approaches to meet new normal expectations, for example, contactless service. Digital technologies, such as Machine Learning and Artificial Intelligence, can open new possibilities and opportunities for hotels to digitize their customers’ services. A review of the literature indicated that data important to the management of hotel products and services include Customer Segmentation, Customer Profiling, Menu Engineering, Productivity Indexing, Customer Associations, Forecasting, Energy Consumption, and Room Rates. These characteristics can be examined by machine learning. This study used a mixed qualitative and quantitative research method. The data were gathered by interviewing two boutique hotel owners in Bangkok and collecting the hotels’ data, including online travel booking agents and direct booking logs, for the period April 2016 – September 2021. The analysis was conducted using the booking data from the two hotels: 3946 records from Hotel A and 3948 from Hotel B. In this research, k-means clustering was used to segment hotel guests. Two-class logistic regression and a two-class boosted decision tree were used to predict the prospective customer, while linear regression and decision forest regression were used to forecast the market demand. The findings reveal a model of hotel business owners’ requirements to innovate new service solutions, such as the contactless software solution, that guests can employ for check-in, check-out, order services, and talk to the hotel through the mobile application. This would help hotel owners to manage costs, employees, and customers. The solution also means that hotel managers would no longer need to be involved in the manual implementation of revenue management tasks. This data analytics approach can effectively sift through the signals detected from market variables, discover patterns and anomalies, make predictions for guest arrivals, and calculate optimum prices in real-time, as the market changes.

How Room Rates Drive Occupancy:

The occupancy rate is a key success indicator for a hotel. It reflects the extent to which rooms are sold in comparison with the total number of rooms available, measured on a daily, monthly, and annual basis. When a hotel aims to maximize room occupancy and room revenue, a well-planned marketing mix strategy is crucial, especially in terms of pricing. Setting the right price is a significant challenge for a hotel: it should not be seen as too cheap or too expensive by consumers, while still providing a profit for the company and not putting it at a disadvantage compared to competitors. Therefore, mistakes in pricing can significantly affect a hotel's occupancy rate.
 This study aims to understand the influence of room rates on occupancy at The Laguna, a Luxury Collection Resort & Spa. The data collection method in this research involves the use of secondary data about prices and occupancy rates. The data analysis techniques used include classic assumption tests, simple linear regression analysis, correlation coefficient analysis, determination coefficient analysis, and t-tests, assisted by the SPSS version 25 software program. The results of this study indicate that room pricing (X) has a significant effect on occupancy rates (Y), as evidenced by a significance value of 0.00, which is less than 0.05, and a t-value of 6.388, which is greater than the t-table value of 2.021. Based on the determination analysis results, room rates have a strong influence of 64.60% on room occupancy, while the remaining 35.40% is influenced by other factors not tested in this study, such as product, service quality, and promotion.

Analisis Hasil Implementasi Multi-Attribute Utility Theory (MAUT) dalam Pengemasan Paket Wisata Tematik

The travel industry plays a vital role in maximizing the marketing of tourist destinations, but the process of determining tour packages must consider consumer purchasing power concerning destination ticket prices, distance and travel time, availability of accommodations and amenities services, and regulations. This study seeks to use the Multi-Attribute Utility Theory (MAUT) decision support model to tourist case studies from Ternate City to determine superior tour packages. In the meantime, the context of destinations, accommodation services, and transportation services is incorporated into the use of the MAUT decision support model. The following criteria are established based on the category of the location: entrance fee; facilities and infrastructure; local tour guides; type of activity at the destination; Security, and Hygiene. The following criteria are established based on the category of lodging services: standard room rate, property amenities, room features, room type, and services. In addition, the criteria established based on the category of transportation services are as follows: rental pricing; car type; vehicle amenities; driver experience. The findings of this study indicate that A5 tourist destinations are recommended, with a total value of 0.90, based on destination category, criteria and criteria values related to ticket prices (10), facilities and infrastructure (20), availability of local tour guides (10), diversity of activities (20), safety (20), and cleanliness (20). In addition, based on the criteria and weights related to standard room rental costs (20), property amenities (20), room features (20), room type (10), and services (30), we propose A1 with a total value of 0.85 in the accommodation services category. In the field of transportation services, we offer A2 with a total score of 0.83 based on criteria and weights relating to rental price (25), vehicle type (25), car amenities (25), and driver experience (25). Using the MAUT decision support model, it is evident that the packaging of tour bundling becomes more effective and efficient

Shared decision making with Oncologists and Palliative care specialists (SOP) model help advanced pancreatic cancer patients reaching goal concordant care: A prospective cohort study.

Pancreatic cancer is often diagnosed at a late stage with a poor prognosis due to insidious symptoms and lack of evidence-based screening in general population. Palliative care's acceptance in Asian cultures is hindered by misconceptions and ineffective communication about management that improve quality of life other than cancer directed treatment. Our study aimed to determine the effect of the Shared decision-making with Oncologists and Palliative care specialists (SOP) model developed from the traditional shared decision-making (SDM) model on the palliative care acceptance rate and medical resource utilization. This is a prospective cohort study implementing the SOP model at the National Taiwan University Hospital from January 2018 to December 2019 for patients with advanced pancreatic cancer. Medical resource utilization was defined and recorded as the rate of hospitalization, emergency room (ER), and intensive care unit admissions. We compared the results between two groups: patients who received the SOP model in 2019 and patients who did not receive it in 2018. 137 patients with advanced pancreatic cancer were included in our study. The result showed that the acceptance rate of palliative care significantly increased from 50% to 78.69% after the SOP model (p = 0.01). The hospitalization rate did not show a significant difference between 2018 (93.42%, 95% CI: 0.88-0.99) and 2019 (93.44%, 95% CI: 0.87-1.00). 83.61% (95% CI: 0.74-0.93) of our patients in 2019 had at least one ER visit; the rate was 81.5% (95% CI: 0.73-0.91) in 2018 (p = 0.28). The percentage of patients admitted to the ICU increased from 3.95% in 2018 to 8.2% (95% CI: -0.05-0.08) in 2019 (95% CI: 0.11-0.15) (p = 0.00). The hospitalization and ER visit showed no statistically difference between 2 years. The modified SOP model markedly augmented palliative care's acceptance of patients with advanced pancreatic cancer. Adoption of the SOP model would provide these patients a more proactive and systematic approach to deliver needed healthcare.

Outcomes of paediatric septic arthritis patients: rates of re-admission, re-operation, and unplanned emergency room visits after discharge.

This study is aimed at determining the rates and predictors of re-operation and re-admission in children with septic arthritis treated at an institution without routine clinical practice guidelines. This is a retrospective cohort study of patients less than 18 years old who underwent surgery for septic arthritis between January 1, 2009, and January 1, 2019, at a single tertiary-care paediatric institution. Uni- and multivariate analysis was performed to identify any risk factors associated with re-operation or unplanned visits to the emergency department after hospital admission compared to patients who had an uncomplicated post-operative course. One hundred and forty-four patients were included. The mean age was five years (range 1 month-17 years), and the most commonly affected joint was the hip. The re-admission rate was 1% (n = 2), and the re-operation rate was 8% (n = 12). Twenty percent of patients (n = 29) had unplanned presentations to the emergency department (ED) after discharge. Discharge CRP level was not significantly higher in patients with unplanned presentations to the ED or re-operation. Positive joint fluid culture and infection of any other joint than the hip increased the likelihood of re-operation. Patients who had septic arthritis of the hip were more likely to have an unplanned ED presentation. Rates of re-admission and re-operation were similar to literature despite lack of a standardized treatment pathway or discharge protocol. Outcomes of pediatric septic arthritis did not correlate with discharge CRP level. There was a high rate of unplanned ED visits after discharge.

Association between clinical and surgical variables with postoperative outcomes in patients treated for intestinal obstruction for non-malignant conditions: a cross-sectional study

Intestinal obstruction is considered a frequent surgical pathology related to previous surgical procedures. Many different factors can lead to different outcomes when surgical management is needed. Therefore, we aim to describe the factors related to morbidity and mortality in surgical management of IO in a single-center experience. Retrospective observational study with a prospective database, in which we described patients who underwent surgical management due to intestinal obstruction between 2004 and 2015. Demographics, perioperative data, surgical outcomes, morbidity, and mortality were described. 366 patients were included. Female were 54.6%. Mean age was 61.26. Laparoscopic approach was done in 21.8% and the conversion rate was 17.2%. Intestinal resection was performed in 37.9% of the cases. Postoperative complications were observed in 18.85%. Reintervention and mortality were 9.5% and 4.1% respectively. Laparoscopic approach shows lesser time of intestinal transit (mean 28.67 vs. mean 41.95 h), and restart of oral intake after surgery (mean 96.06 vs. mean 119.65) compared with open approach. Increased heart rate and intensive care unit length of stay were related with mortality (p 0.01 and 0.000 respectively). For morbidity, laparotomy and need and duration of ICU stay were related with any complication statistically significant (p 0.02, 0.008, 0.000 respectively). Patients with increased heart rate in the emergency room, decreased amount of intravenous fluids, need and higher length of stay in the intensive care unit, and delay in resuming oral intake after surgery appear to have poor outcomes. Laparoscopic approach seems to be a safe and feasible approach for intestinal obstruction in selected patients.

Numerical study on the indoor flow field and ventilation performance in the power room of a hybrid locomotive that passes through a tunnel

Under the background of energy saving, emission reduction, and green transportation, the electrification construction of railway lines is difficult owing to long cycles and high costs. Hybrid locomotives have emerged as fuel locomotives that can run on electrified lines and that achieve energy saving, emission reduction, and railway emergency on non-electrified lines. Train power equipment is highly integrated in the locomotive power room, which leads to the ventilation and heat dissipation performance of indoor high-heat equipment becoming one of the main factors that affect the safe operation of trains. This study focuses on the flow field and ventilation of locomotive power rooms in railway vehicle/tunnel systems and explores the variation of the ventilation flow rate and flow field in a power room when trains pass through a tunnel at different speeds. Based on the unsteady Reynold-averaged Navier–Stokes (RANS) equations and shear-stress transformation (SST) k-ω turbulence model, the relative motion between a train and a tunnel is simulated by sliding mesh, and the related algorithm settings are verified through experiments. The results show that: train speed is linearly related to the air inlet flow rate, and trains have a critical speed, which affects the original indoor air-cooling circulation system. This critical speed is reduced by the tunnel environment; The propagation and superposition of the pressure wave in a tunnel have no evident effect on the flow rate of the power room vent; Train speed is negatively correlated with the fan efficiency; thus, it deteriorates the fan efficiency in the tunnel environment; The symmetrical distribution of ventilation openings in a power room can effectively balance the fresh-air flow, but it is not conducive to cooling equipment located near the locomotive. These conclusions can contribute to improving future designs of the ventilation systems of hybrid electric locomotive power rooms.

The Influence of Service Quality and Room Rates on Guest Loyalty at UNP Hotel & Convention Center

Purpose: This study aims to elucidate the profound influence of service quality and room rates on hotel guest loyalty within the context of UNP Hotel & Convention Center. Method: Employing an explanatory research design with a quantitative approach, this study examines the interplay between service quality, room rates, and hotel guest loyalty. The study focuses on a population of repeat guests at UNP Hotel & Convention Center. Data was collected from 50 respondents through purposive sampling using a meticulously designed questionnaire. The collected data was subjected to descriptive analysis and path analysis, with the proposed model evaluated using the Smart Partial Least Squares Structural (PLSS) assessment. Results: The findings underscore a compelling and statistically significant correlation between service quality, room rates, and guest loyalty. This highlights a crucial implication for the hotel industry to prioritize and meticulously manage service quality and room pricing in order to foster and amplify guest loyalty. Contribution: This research underscores the pivotal role of service quality and room rates in nurturing guest loyalty at UNP Hotel & Convention Center. The study reaffirms that guest loyalty is intricately tied to the anticipated service quality and pricing. As such, maintaining service quality at par and ensuring competitive room rates could potentially lead to higher guest retention and choice of the hotel. Conversely, a decline in either service quality or competitive pricing may precipitate diminished guest loyalty

A hedonic analysis of the determinants of hotel room rates in the Greater Gaborone Region (Botswana) using quantile regression

PurposeThe purpose of this study is to examine the influence of key hotel attributes on the room rates of selected hotels in the Greater Gaborone Region, Botswana.Design/methodology/approachUsing hedonic pricing analysis, the effect of eight attributes collected from 80 standard double rooms on Booking.com in the area was analysed using quantile regression.FindingsThe estimated results from quantile regression suggested the importance of the 10th quantile as the best predictor of hotel room price distribution. Overall, the presence of a fitness centre and the availability of meeting and conference facilities were positively significant for the lowest- and premium-priced hotels, respectively.Research limitations/implicationsThe study advanced the literature in hedonic pricing models by confirming the applicability of hotel room rate attribute research in unexplored environments.Practical implicationsHotel managers should be aware of the influence of key attributes, such as meeting and conference space availability and locational factors, on the pricing decisions of room rates in the Greater Gaborone Region. The study also presented opportunities for business-to-business marketing between hotel and tour operators in the region.Originality/valueThe study is one of the few that uses quantile regression in the hedonic pricing analysis of hotel room rates.

RANCANG BANGUN APLIKASI RESERVASI HOTEL DEWIZA RESTO & CONVENTION HALL MENGGUNAKAN FRAMEWORK CODEIGNITER

Currently there are still many hotels that do not have a hotel reservation information system. One of them is the Dewiza Hotel & Convention Hall which is a residence located in Banjarsari, Kec. Cipocok Jaya, City of Serang. Dewiza Hotel reservations cannot be made online, they still use a stand-alone based application, meaning that prospective customers must come directly to the hotel to find out room availability, room rates and other facilities owned by the hotel. So that the lack of convenience in the process of booking room services by prospective customers because they cannot see the updated list of rooms, facilities, and their prices. For this reason, a solution is needed so that hotel reservation services can be done online, so that customers can enjoy room booking services and facilities through their gadgets without having to come to the hotel. The methodology used for system development is the ADDIE method using the PHP programming language. This study aims to produce a website that can be accessed online by hotel customers. This website can make it easier for prospective customers to be able to see a list of rooms and room facilities through a website. Prospective customers can make room reservations and see the status of hotel availability, which is always updated by hotel operators.

Long-Term Benefits of an Integrated Continuous Glucose Monitoring and Insulin Pump System for Emergency Admissions, Hospitalization, and Metabolic Control in a Cohort of People With Diabetes: Retrospective Cohort Study.

There is evidence in the literature that the use of sensor-augmented insulin pumps in patients with high-complexity diabetes improves metabolic control. However, there is no long-term information on clinical outcomes such as hospitalization or admission to the emergency room. This study describes outcomes for metabolic control, incidence of hospitalizations, and emergency room visits in a specific population using this technology. We aimed to assess long-term glycemic and clinical outcomes after the use of continuous subcutaneous insulin infusion and continuous glucose monitoring in people with diabetes. A retrospective cohort study was carried out in patients with diabetes previously treated with an intensive insulin regimen at a specialized diabetes treatment center who required a sensor-augmented insulin pump due to nonoptimal glycemic control. Glycated hemoglobin, severe hypoglycemic episodes, nonsevere hypoglycemic episodes, perception of hypoglycemia, and the incidence of emergency room visits and hospitalizations before and after treatment were evaluated. Between January 2013 and August 2020, 74 patients with a median age of 36 (IQR 27-46) years were included in the study with a median 4 (IQR 2-7) years of follow-up. We found a statistically significant reduction in glycated hemoglobin (8.35% vs 7%; P<.001), nonsevere hypoglycemic episodes (71/74, 96% vs 62/74, 84%; P=.01), emergency room visits (42/73, 58% vs 4/62, 6%; P<.001), and hospitalizations (36/72, 50% vs 10/72, 14%; P<.001) after use of continuous subcutaneous insulin infusion. The use of a sensor-augmented insulin pump associated with a strict follow-up program for patients with high-complexity diabetes led to a significant and sustained reduction in glycated hemoglobin and hypoglycemic episodes, as well as in the rate of emergency room visits and hospitalizations. These results encourage the adoption of this technology in patients who do not achieve metabolic control with optimal management of diabetes.

What Kind of “Green” do the Guests Want? An Exploration of Adoption of Luxury Hotel Green Room Attributes

This study aims to provide insights for sustainability initiatives in Singapore luxury hotels. We explore the impact of green room attributes toward guests’ satisfaction and hotel selection. We surveyed 387 respondents to identify their preferences for green room attributes. Among different green room attributes, we find that younger travelers are satisfied with cloth laundry bags, while older travelers appreciate wooden keys. A female guest is more likely to enjoy eco-friendly food and beverages amenities, while a male guest is more likely to appreciate motion or occupancy sensors. With regard to choosing a hotel, those traveling for leisure and at an older age ranked service quality as more important. Female travelers appreciate cleanliness compared to room rates, and those with higher education ranked sustainability initiatives higher. The analysis of demographic factors can be referenced by the hospitality industry practitioners and the hoteliers of luxury hotels operators when they plan to implement green room features or marketing strategies targeted to a specific segment of customers. As for the greater aim, the research contributes to the literature that focuses on the rise of green consumption to support global sustainability initiatives.

Experimental and numerical investigations on radiant floor heating system integrated with macro-encapsulated phase change material

Macro-encapsulated phase change material (PCM) with PCM as core and polymer as shell is reported an extremely stable energy storage medium in radiant floor heating system (RFHS). Herein, RFHS-based rooms with and without macro-encapsulated PCM are built, and the comfort and economy of the corresponding rooms are evaluated. Experimental results show that the room with macro-encapsulated PCM has longer thermal comfort time and slighter temperature deviation than without, according to the comfort standard. Then, a 3D unsteady heat transfer model is established and corrected by experimental data. Results show that macro-encapsulated PCM as temperature buffer layer regulates the heating-cooling rate of room and forms a semi-elliptic air radiant temperature zone. The room with macro-encapsulated PCM has lower daily electricity cost (c‾) of 0.2595 CNY/day and higher comfort time ratio of inside air (t‾) of 80.88%, decreased by 36.71% and increased by 15.43% than without, respectively. The thermal conductivities of shell and core of macro-encapsulated PCM are orthogonally optimized to be respectively 0.25 and 1.00 W/(m·K), with lowest c‾ (0.2480 CNY/day) and higher t‾ (85.47%), decreased by 4.43% and increased by 5.67% than pre-optimization. When the ambient temperature changes within −10∼10 °C, the input power of the room with macro-encapsulated PCM is orthogonally optimized to save c‾ by 35.91%∼39.39% than without.

Price elasticity of demand and its impact on hotel revenue performance during the COVID-19 pandemic

This study investigates price elasticity of demand and its pricing effect on revenue performance of hotels during the COVID-19 pandemic. Using annual operating performance data on over 2,500 hotels from 2018 to 2021, this study provides empirical evidence of a relatively inelastic demand for the lodging sector. Price, income, cross-price, and lagged demand are positive and inelastic in their relationships with demand. Price has a significant and negative effect on lodging demand while a hotel’s competitive position has a significant influence on RevPAR performance with both negatively affected by COVID-19. More important, the results show a significantly greater positive impact of pricing on RevPAR penetration for hotels that raised rates relative to hotels that dropped rates. The findings suggest that it may be best for hotels to maintain or raise room rates to maximize revenue performance in the midst of an external shock.

Higher risk of future events, mortality and greater healthcare use among patients with increasingly recurrent atherosclerotic cardiovascular disease events in Taiwan: a retrospective cohort study

ObjectivesTo describe the occurrence of recurrent atherosclerotic cardiovascular disease (ASCVD) events within 3 years after a new-onset event, the associated disease burden and statin prescribing in patients with ASCVD in...

The Influence Of Room Rates And Facilities On Guest Decisions To Stay At The Aveda Boutique Hotel Petitenget Bali

This study aims to determine the partial and simultaneous effects of Room Prices, and Facilities on Guest Stay Decisions at The Aveda Boutique Hotel. This study uses data collection techniques in questionnaires, interviews and documentation. This type of research is a type of quantitative research. The population in this study were guests staying at The Aveda Boutique Hotel using the Accidental Sampling sampling technique with 75 respondents. This study uses a quantitative method with SPSS (Statistical Package For Social Science) version 25.0. This study obtained the results of multiple linear regression analysis Y = 8.962 + 0.431X1 + 0.461X2 which shows that room prices and facilities positively affect guest decisions to stay at The Aveda Boutique Hotel. The t-test results show t-count room price 3.021 and t-count facilities 4.124&gt; t table 1.666, which means the hypothesis is accepted. Then the F test results show Fcount 29.548&gt; Ftable 3.123, which means the hypothesis is accepted. From the results of the T test and F test analysis, it can be concluded that room prices and facilities significantly affect both partially and simultaneously guest decisions to stay at The Aveda Boutique Hotel. The coefficient of determination test results shows that the effect of room prices and facilities is 45.1% on guest stay decisions, while other variables outside this study influence the remaining 54.9%. In this study, the most dominant variable influencing guest decisions to stay in facilities with a value of 0.437. Keywords: Room rates, Facilities, the guest's decision to stay Keywords: Room rates, Facilities, the guest's decision to stay