Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal Annals of Management and Organization Research Journal of Applied Sciences in Travel and Hospitality Journal of Tourism, Culinary, and Entrepreneurship (JTCE)
Putu Diah Sastri Pitanatri
Bali Tourism Polytechnic, Indonesia
Economics, Econometrics & Finance Social Sciences

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How room rates drive occupancy: A case study from The Laguna, a Luxury Collection Resort & Spa, Nusa Dua I Gede Tito Yuda Pradana Jaya; Putu Diah Sastri Pitanatri; Ni Made Suastini
Bahasa Indonesia Vol 3 No 2 (2023): OCTOBER 2023
Publisher : School of Tourism, Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/jtce.v3i2.4089

Abstract

The occupancy rate is a critical indicator of success for hotels, serving as a gauge of the proportion of rooms sold relative to the total available inventory, and is typically assessed on a daily, monthly, and annual basis. For hotels striving to optimize both room occupancy and revenue, the execution of a strategically designed marketing mix is paramount, with pricing as a central component. Establishing an optimal price point is a significant challenge for hotel management; the price must be calibrated to avoid perceptions of being excessively low or high by consumers, while simultaneously ensuring profitability and competitive positioning. Recognizing this, errors in pricing strategy can have a profound impact on a hotel’s occupancy rate. This study aims to investigate the relationship between room rates and occupancy at The Laguna, a Luxury Collection Resort & Spa. The research employs secondary data encompassing room prices and occupancy rates and utilizes a comprehensive suite of analytical techniques—including classic assumption tests, simple linear regression, correlation coefficient analysis, determination coefficient analysis, and t-tests—facilitated by SPSS version 25 software. The findings reveal a statistically significant relationship between room pricing and occupancy rates. Notably, the determination analysis suggests that room rates exert a substantial 64.60% influence on room occupancy, while the remaining 35.40% is attributed to other factors not examined in this study, such as product and service quality, and promotional strategies.
Travel motivations, preferences, and characteristics of women solo travelers in Bali Putu Diah Sastri Pitanatri; Ni Wayan Giri Adnyani; Luh Putu Kartini; Marco Valeri
Journal of Applied Sciences in Travel and Hospitality Vol. 8 No. 1 (2025): JASTH: Journal of Applied Sciences in Travel and Hospitality
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/jasth.v8i1.63-78

Abstract

This study explores solo women travelers in Bali, focusing on their travel motivations, preferences, and characteristics. The research aims to fill the gap in understanding how solo travel contributes to understanding women's travel in these popular destinations. The study focuses on Big Data analysis. Textual content from TripAdvisor reviews by solo woman travelers is analyzed using the BART Large Zero Shot model. This model classifies text according to Maslow's hierarchy of needs and Plog's psychographics model, identifying primary travel motivations and distinguishing between allocentric and psychocentric traveler types. The findings reveal that 36.39% of travelers are motivated by self-actualization, seeking personal growth and transformative experiences. Additionally, 83.79% of solo woman travelers prefer allocentric travel experiences, indicating a strong desire for adventure and cultural immersion. These results highlight the empowerment journey of solo woman travelers as they travel to new destinations independently. This research provides valuable insights into the empowerment of solo woman travelers, emphasizing the role of travel in fostering personal development and independence. By examining the specific motivations and preferences of these travelers, the study enriches the discourse on gender roles within modern tourism and offers a nuanced understanding of solo travel.
Analyzing TripAdvisor reviews to improve service quality at Courtyard Marriott Bali Nusa Dua Resort Bagaskara Vijaya; Putu Diah Sastri Pitanatri; Kadek Andita Dwi Pratiwi
Annals of Management and Organization Research Vol. 7 No. 1 (2025): August
Publisher : goodwood publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/amor.v7i1.2857

Abstract

Purpose: This study aims to explore trends in guest satisfaction at the Courtyard by Marriott Bali Nusa Dua Resort by analyzing online reviews from TripAdvisor, with the objective of enhancing service quality. Methods: The research follows a systematic methodology that begins with scraping guest reviews from TripAdvisor, ensuring the collection of relevant data. Subsequently, a thorough data cleaning and preprocessing process is undertaken to guarantee high-quality data. The study then utilizes time series analysis, specifically the ARIMA model, to analyze the evolving patterns of guest satisfaction over time. Results/findings: The findings show that the majority of guest feedback is positive, indicating general satisfaction with the hotel. The ARIMA model reveals that guest satisfaction is highly influenced by previous satisfaction levels, suggesting a trend where past experiences strongly impact future perceptions. Conclusions: These results provide valuable insights into the key drivers of guest satisfaction, offering actionable recommendations for hotel management. By understanding the dynamic factors that influence guest experiences, management can improve service quality, respond more effectively to unexpected situations, and remain competitive in the market. Limitations: The ARIMA model does not account for external factors, such as holiday seasons or marketing changes, nor does it analyze the specific content of reviews or differentiate between guest segments. Additionally, comparisons with competitors can provide a broader strategic context for a more comprehensive understanding. Contribution: The combination of sentiment analysis and time series forecasting in this study offers a unique contribution, enabling data-driven decisions that support continuous service improvement and customer satisfaction.
Co-Authors Bagaskara Vijaya I Gede Tito Yuda Pradana Jaya Kadek Andita Dwi Pratiwi Luh Putu Kartini Marco Valeri Ni Made Suastini Ni Wayan Giri Adnyani