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The Influence of Promotion via Social Media Instagram and Facebook on Purchase Interest among Generation Y at the FP Bali Hotel, Kuta Yudhawijaya, Made; Pitanatri, Putu Diah Sastri; Adyatma, Prastha
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 2 No. 8 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v2i8.10885

Abstract

This study examines the impact of promotions through Instagram and Facebook on the purchase intention of generation Y at the FP Bali Hotel, Kuta. The quantitative method was used by distributing questionnaires to 100 Instagram and Facebook followers of the hotel who are generation Y. The data analysis process used multiple linear regression procedures on SPSS version 27.0. The findings show that the purchase intention of generation Y is significantly and positively influenced by product promotions on Instagram and Facebook, both individually and simultaneously. The management of FP Bali Hotel is expected to be able to utilize these findings as input to increase purchase intention through the implementation of appropriate promotion strategies.
The Influence of Price and E-WOM on Millennial Generation Purchase Interest at InterContinental Bali Resort Atmaja, I Putu Gede Brandon Wira; Pitanatri, Putu Diah Sastri; Adyatma, Prastha
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 2 No. 8 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v2i8.10887

Abstract

This study aims to determine the effect of price and e-WOM on the purchase intention of the millennial generation at the InterContinental Bali Resort. The population is the millennial generation who have accessed information about the InterContinental Bali Resort using the Google platform, and have never stayed at the InterContinental Bali Resort. The sample used was 100 respondents with a data collection method using a questionnaire, in the form of a Google Form. The data analysis techniques used in this study are Multiple Linear Regression Analysis, t-Test, F-Test, and Determination Coefficient Analysis. Based on the results of the study, it can be seen that price and e-WOM partially and simultaneously have a positive and significant effect on purchase intention. The magnitude of the influence of the price and e-WOM variables on purchase intention is 63.3% or can be said to be in the strong category.
The Effect of Brand Image and Price on Tourist Purchasing Decisions Choosing The Westin Resort Nusa Dua Bali as a Mice Venue Wedari, Ni Kadek Maedha; Pitanatri, Putu Diah Sastri; Wiartha, Nyoman Gede Mas
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 2 No. 11 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v2i11.11293

Abstract

The tourism industry has great potential in generating foreign exchange and improving the welfare of the community. MICE (Meeting, Incentive, Convention, and Exhibition) is a rapidly growing sector in this industry. The MICE industry in Indonesia has been severely impacted by the COVID-19 pandemic, with many events postponed or canceled, affecting related economic sectors. Recovery of the sector requires strategies to adapt to the "new normal", event innovation, implementation of health protocols, and utilization of technology. Understanding brand image and personality is important for employees in creating a positive company image, such as at The Westin Resort Nusa Dua Bali. This study uses quantitative methods to evaluate the effect of brand image and price on purchasing decisions. The results showed that brand image and price have a positive but significant influence on purchasing decisions.
Big data analytics to understand guest sentiment: Time series study of TripAdvisor reviews for luxury hotel in Bali Ayu Trisna Sanjiwani; Putu Diah Sastri Pitanatri; Cahyo Purnomo Loanata
Journal of Indigenous Culture, Tourism, and Language Vol. 1 No. 1 (2025): March
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jictl.v1i1.3256

Abstract

Purpose: This study analyzes guest sentiment from TripAdvisor reviews and examines its relationship with room occupancy at the Raffles Bali Hotel. It explores key factors influencing guest satisfaction and their correlation with occupancy trends, using a time-series forecasting approach to predict future hotel performance. Research/methodology: The research utilized TripAdvisor review data from 2020–2024, which was scraped, cleaned, and classified for sentiment using Python and Julius AI. A Seasonal Autoregressive Integrated Moving Average model was applied to sentiment data, while a SARIMAX model incorporated sentiment as an exogenous variable to forecast occupancy rates. Results: Findings indicate that most guest reviews were positive, contributing to high overall satisfaction levels. Although occasional declines in sentiment occurred (e.g., March 2024), trends remained favorable. Time-series analysis revealed a significant positive influence of sentiment on occupancy, with slight negative short-term fluctuations. This suggests that while sentiment strongly supports long-term occupancy growth, short-term variations are less predictable. Conclusions: Positive guest sentiment is a key driver of occupancy rates in luxury hotels. Although Granger Causality testing did not confirm a short-term causal link, long-term trends highlight the importance of managing guest sentiment to sustain occupancy levels. Hotel managers can use these insights to optimize service quality, improve guest experiences, and refine marketing strategies. Limitations: The SARIMA models excluded external factors such as marketing campaigns, seasonal events, and competitor data. Guest demographics were not segmented in this study. Contribution: This study introduces a novel integration of sentiment analysis and time-series forecasting, providing actionable insights to enhance service quality and improve hotel occupancy performance.
The role of seasonal trends in shaping tourist preferences for luxury resort: Big data approach Pamungkas, Luh Made Gunapria Hindu Rajeswari; Pitanatri, Putu Diah Sastri; Adinda, Clearesta
Journal of Sustainable Tourism and Entrepreneurship Vol. 7 No. 1 (2025): September
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/joste.v7i1.2927

Abstract

Purpose: This study aims to examine seasonal patterns in tourist preferences for luxury resort stays in Bali, with a focus on how cultural backgrounds influence accommodation choices. The goal is to help resorts better understand guest behavior and optimize occupancy strategies. Methodology/approach: The research analyzes monthly online review data from Tripadvisor for Bvlgari Resort Bali, a prominent luxury hotel. A time-series analysis using the ARIMA (Autoregressive Integrated Moving Average) model is applied to forecast occupancy trends. Prior to modeling, the data is tested for stationarity. In addition to forecasting, the study explores guest preferences by analyzing cultural characteristics inferred from reviews, categorizing them into collectivist and individualist orientations. Results/findings: Findings reveal that occupancy trends do not strictly align with the hotel’s predefined seasonal categories. Instead, they are shaped by global travel trends and cultural factors. Guests from collectivist cultures tend to prefer facilities that support group interaction and shared experiences, while those from individualist cultures prioritize privacy, exclusivity, and personalized services. The ARIMA model delivers accurate forecasting results, helping to predict future occupancy rates effectively. Conclusion: IoT integration enhances the reliability of hospital-based PV systems. Tourist behavior is not solely dictated by conventional seasons but also by cultural expectations and travel motivations. Leveraging these insights allows hotels to better align operations, marketing, and pricing strategies with actual guest preferences. Limitations: The study is limited to a single resort and uses data from one online review platform, which may not fully capture the diversity of all guests. Contribution: This study contributes to tourism analytics, cross-cultural marketing, and hotel management by offering data-driven strategies to enhance occupancy performance.
Macau, Bali and the Malay World: A Gastronomic Perspective Annabel Jackson; Michael John Hitchcock; Putu Diah Sastri Pitanatri
Jurnal Kajian Bali (Journal of Bali Studies) Vol. 14 No. 2 (2024): Reclaiming Cultural Heritage
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JKB.2024.v14.i02.p05

Abstract

Macau’s location on the South China Sea suggests that any syncretic activity would have been of Sinitic-Portuguese variety. However, the situation is rather more nuanced, as the culture of the Macanese people, who consider themselves the ‘sons of the land’, reflects Portuguese colonial activity across the Indian Ocean and especially Malacca. Links between Macau and the ‘Malay World’ are deep and complex, and this paper approaches this issue through historical and political analysis, but also through the specifics of etymology and cuisine. The paper also draws comparisons with other ‘creolised’ cuisines in Southeast Asia such as Peranakan food in Malaysia and Western-Indonesian hybrids that have arisen in the tourism context of Bali. Given the importance played by women in preparing dishes for Portuguese men in Macau, parallels are drawn with the role of enslaved Hindu-Balinese women in colonial Batavia (Jakarta) who prepared pork dishes for their Dutch masters.
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

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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.
Purchase Intention in Hotel Mobile Applications: The Role of Perceived Price and Ease of Use Prabawathi, Ni Kadek Nia; Pitanatri, Putu Diah Sastri; Pinaria, Ni Wayan Chintia
Media Wisata Vol. 24 No. 1 (2026): Media Wisata
Publisher : Sekolah Tinggi Pariwisata AMPTA Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36276/mws.v24i1.1033

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As mobile applications become more widely used in the hospitality industry, the way customers look for information, make reservations, and choose hotel services has also changed. However, booking intentions through hotel mobile applications remain relatively low or fluctuate over time, despite providing competitive prices and convenient amenities. This situation highlights the importance of understanding the factors that influence customers’ intentions to make purchases when using hotel mobile applications. This study aims to examine how perceived price and perceived ease of use influence the purchase intentions of hotel mobile application users. This study was conducted using an approach structured questionnaires distributed to 100 respondents who were familiar with the THG Apps. The obtained data were through descriptive statistics and multiple linear regression analysis with the assistance of SPSS. The results indicate that perceived price and perceived ease of use both have a positive and significant effect on purchase intention, with perceived price showing a slightly stronger influence. The findings of this study are expected to provide practical insights for hotel management in developing mobile application strategies that can enhance customer engagement and encourage reservations
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

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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.
Analisis Sentimen Ulasan Tamu Untuk Meningkatkan Hunian Kamar Boutique Hotel di Kuta Dewa Ayu Kirana Maya Candra; Putu Diah Sastri Pitanatri; Ni Wayan Chintia Pinaria
Studi Ilmu Manajemen dan Organisasi Vol 6 No 2 (2025): Juli
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/simo.v6i2.4701

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Purpose: This study aims to analyze guest review sentiments of Fourteen Roses Boutique Hotel Kuta on the Booking.com platform, to identify aspects of hotel services that require improvement and can inform strategies to increase room occupancy rates. Methodology/approach: A quantitative approach is used, with data collected via web scraping from Booking.com. The review texts undergo preprocessing for cleaning and structuring, followed by sentiment classification using the Naïve Bayes algorithm and TF-IDF for feature extraction. Python is used for analysis, and the results are visualized using word clouds and sentiment distribution charts. Results/findings: The analysis reveals that 49.0% of the reviews express positive sentiment, highlighting appreciation for staff service, room comfort, facilities, and hotel location. Meanwhile, 21.0% show negative sentiment, mainly concerning breakfast quality, noise at night, and bathroom conditions. Additionally, 14.3% of the reviews are neutral, often using terms like “standard,” “ok,” or “normal,” indicating weakly held opinions. Despite data imbalance, the Naïve Bayes model achieved an accuracy of 78%. Conclutions: Overall guest perceptions are positive, but negative and neutral feedback still requires attention. The sentiment analysis results and word cloud visualizations serve as useful references for identifying areas needing service improvements to enhance occupancy rates. Limitations: The study focuses solely on Booking.com data. Future research should incorporate multiple platforms and explore more advanced classification techniques to better handle data imbalance. Contribution: This study provides insights into guest sentiment that can help hotel management design more targeted strategies to remain competitive in the hospitality industry.
Co-Authors Ade Roy Renaldo Amarawati, Ni Putu Erika Dita Anak Agung Istri Ratna Sari Wulan Andreas Bryan Wagey Annabel Jackson Annabel Jackson Atmaja, I Putu Gede Brandon Wira Axell Pratama Kartika Ayu Trisna Sanjiwani Bagaskara Vijaya Cahyo Purnomo Loanata Candra, Dewa Ayu Kirana Maya Ciptasari, Dila Ayu Clearesta Adinda Cokorda Zaic Arizena Dewa Ayu Kirana Maya Candra Dewa Ketut Sujatha Dewa Ketut Sujatha Dewa Ketut Sujatha Duta, Putu Krisna Arya Dwilestari, Ni Kadek Felicia Made Sabina Maya Mahadewi I Dewa Gde Tri Jaya Cahyadi I Dewa Putu Hendri Pramana I Gede Made Sukariyanto I Gede Tito Yuda Pradana Jaya I Gusti Ayu Putu Diah Adnyani I Gusti Ayu Sucitadewi I Gusti Ngr Putu Jagadhita Rama Putra I Gusti Putu Ngurah Budiasa I Kadek Pandu Adi Wiranatha I Wayan Suteja Ida Ayu Kalpikawati Irene Hanna H Sihombing Kadek Andita Dwi Pratiwi Kristiana, Nina Indra Lindasari, Komang Leony Luh Putu Kartini Made Deny Kharisma Made Uttari Pitanatri Maharani, Putu Ayu Yoga Marco Valeri Maswiartha, Nyoman Gede Michael John Hitchcock Michael John Hitchcock Nathania, Ni Made Riska Ni Desak Made Santi Diwyarthi Ni Kade Juli Rastitiati Ni Kadek Indah Puspaningrum Ni Komang Thessy Aprelia Arijesni Ni Komang Thessy Aprelia Ni Komang Thessy Aprelia Ni Komang Thessy Aprelia, Ni Komang Thessy Aprelia Ni Made Suastini Ni Made Suastini Ni Made Suastini, Ni Made Ni Putu Erika Dita Amarawati Ni Putu Siska Putri Ni Wayan Chintia Pinaria Ni Wayan Giri Adnyani Nyoman Gede Mas Wiartha Pamungkas, Luh Made Gunapria Hindu Rajeswari Pande Putu, Dina Maharani pinaria, ni wayan chintia Pitanatri, Made Uttari Prabawathi, Ni Kadek Nia Prabhawati, Luh Gde Ayu Prastha Adyatma Priliani, Ni Luh Dita Puspaningrum, Ni Kadek Indah Putra, Gede Bagus Brahma Putu Bella Ayu Virdani Putu Bella Ayu Virdani Putu Devi Rosalina Putu Puja, Ida Bagus Rumadana, I Made Sabudi, I Nyoman Sukana Sri Aida Melianty Sugiarta, Komang Rikha Sujatha, Dewa Ketut Sulistyawati, Ni Luh Ketut Sri Suryananta, I Putu Bagus Vijaya, Bagaskara Virdani, Putu Bella Ayu Wagey, Andreas Bryan Wedari, Ni Kadek Maedha Wibawa, Anak Agung Putu Sebastian Ardika Wiguna, I Komang Bintang Tri Winata, Adi Sistha Yudhawijaya, Made