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The Influence of Price and Promotion Through Instagram Social Media on Generation Y Tourists' Purchase Interest at Four Points By Sheraton Bali, Seminyak Wibawa, Anak Agung Putu Sebastian Ardika; Pitanatri, Putu Diah Sastri; Wiartha, Nyoman Gede Mas
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.v2i8.10883

Abstract

The purpose of the research is to test and determine the effect of price and promotion through Instagram social media partially and simultaneously on the purchasing interest of Generation Y tourists at Four Points by Sheraton Bali, Seminyak. The research conducted is a quantitative research with a population of Generation Y tourists who know Four Points by Sheraton Bali, Seminyak. The sample used was 100 respondents. In conducting data analysis, the techniques used were Multiple Linear Regression, t-test, f-test, and Determination Coefficient using SPSS. Based on the results of the study, it was found that the calculated f value> f table = 143.734> 3.09 and the significance value <α = 0.00 <0.05 and it can be concluded that price and promotion through Instagram social media have a positive and significant effect simultaneously on the purchasing interest of Generation Y tourists at Four Points by Sheraton Bali, Seminyak.
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.
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.
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

Abstract

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
ANALISIS SENTIMEN ULASAN ONLINE TRAVEL AGENT TERHADAP POTENSI MINAT BELI KONSUMEN DI LE MÉRIDIEN BALI I Kadek Pandu Adi Wiranatha; Putu Diah Sastri Pitanatri; Prastha Adyatma
Kepariwisataan: Jurnal Ilmiah Vol 20, No 2 (2026): Kepariwisataan: Jurnal Ilmiah
Publisher : Sekolah Tinggi Pariwisata Ambarrukmo Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47256/kji.v20i2.1163

Abstract

AbstractOnline customer reviews on Online Travel Agent (OTA) platforms serve as digital information sources that shape prospective consumers’ perceptions before hotel booking. This study aims to analyze the sentiment distribution of guest reviews for Le Méridien Bali Jimbaran on Booking.com and examine its potential implications for consumer purchase intention. A quantitative approach was employed through web scraping of 1,002 reviews from March 2023 to February 2026, after data screening and preprocessing, 538 valid reviews were analyzed. Sentiment analysis was conducted using VADER, TF-IDF feature extraction, and Multinomial Naïve Bayes classification. The model achieved an accuracy of 0.75, with an average precision of 0.73, recall of 0.59, and F1-score of 0.60. The results show that positive sentiment dominates at 67.84%, followed by neutral sentiment at 22.12% and negative sentiment at 10.04%. These findings indicate that guest perceptions are generally positive, although several service aspects still require improvement. Consumer purchase intention was not directly measured but discussed conceptually based on guest perceptions reflected in OTA reviews. This study provides managerial insights for strengthening digital reputation and supporting the potential formation of consumer purchase intention.Keywords: Sentiment Analysis; Online Travel Agent; Purchase Intention; Naïve Bayes; Booking.comAbstrakUlasan tamu pada platform Online Travel Agent (OTA) menjadi sumber informasi digital yang membentuk persepsi calon konsumen sebelum melakukan pemesanan hotel. Penelitian ini bertujuan untuk menganalisis distribusi sentimen ulasan tamu Le Méridien Bali Jimbaran pada Booking.com serta mengkaji potensi implikasinya terhadap minat beli konsumen. Penelitian ini menggunakan pendekatan kuantitatif melalui teknik web scraping terhadap 1.002 ulasan periode Maret 2023-Februari 2026, setelah seleksi dan pra-pemrosesan, diperoleh 538 ulasan valid untuk dianalisis. Analisis sentimen dilakukan menggunakan VADER, ekstraksi fitur TF-IDF, dan klasifikasi Multinomial Naïve Bayes. Model memperoleh akurasi 0,75, precision 0,73, recall 0,59, dan F1-score 0,60. Hasil menunjukkan dominasi sentimen positif sebesar 67,84%, diikuti sentimen netral 22,12% dan negatif 10,04%. Temuan ini menunjukkan bahwa persepsi tamu cenderung positif, meskipun masih terdapat aspek layanan yang perlu diperbaiki. Minat beli tidak diukur langsung, tetapi dibahas secara konseptual berdasarkan persepsi dalam ulasan OTA. Hasil penelitian memberikan masukan manajerial untuk memperkuat reputasi digital dan mendukung potensi pembentukan minat beli konsumen.Kata Kunci: Analisis Sentimen; Online Travel Agent; Minat Beli; Naïve Bayes; Booking.com
Evaluation on the Accuracy of Artificial Intelligence (AI) Assisted Revenue Management Forecasting: Evidence from a Luxury Resort in Bali Axell Pratama Kartika; Putu Diah Sastri Pitanatri; Ni Made Suastini
Indonesian Tourism Journal Vol. 3 No. 1 (2026): May, 2026
Publisher : CV. Austronesia Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69812/itj.v3i1.259

Abstract

This study examines the accuracy of artificial intelligence-assisted forecasting in supporting hotel revenue management at Amarterra Villas Resort Bali Nusa Dua, a five-star luxury resort operating within Bali’s premium leisure tourism market. The research was motivated by the growing need for hotels to improve forecasting reliability amid fluctuating demand, dynamic pricing conditions, and limited dedicated revenue management manpower. A descriptive quantitative research design with comparative forecasting accuracy analysis was applied using secondary operational data consisting of AI-generated forecasts and actual hotel performance records for Room Nights, Average Daily Rate (ADR), and Revenue. Forecasting accuracy was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), Mean Forecast Error (MFE), annual bias percentage, paired sample t-tests, and Pearson correlation analysis. The findings show that AI-assisted forecasting performed more accurately in predicting Room Nights than ADR and Revenue. Room Nights recorded relatively low forecast errors, with an MAE of 3.69, RMSE of 4.61, and MAPE of 11.65%, and the paired sample t-test indicated no statistically significant difference between forecasted and actual demand. In contrast, ADR and Revenue showed higher error values and statistically significant differences, indicating systematic underestimation in pricing and financial performance. Pearson correlation results further suggest that AI forecasts were useful in tracking general trends, although they remained less precise in predicting exact monetary outcomes.
The Effect of Green Hotel Implementation on Environmental Conservation at the Meru Sanur Felicia Made Sabina Maya Mahadewi; Putu Diah Sastri Pitanatri; Ida Ayu Kalpikawati
Jurnal Impresi Indonesia Vol. 5 No. 6 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i6.7844

Abstract

This study aims to analyze the influence of green hotel implementation on environmental conservation in The Meru Sanur through waste reduction and employee participation. The study uses an explanatory quantitative approach with a survey method of operational employees in the housekeeping, food & beverage, front office, and engineering departments. The data were analyzed using multiple linear regression. The results of the study show that the implementation of green hotels has a positive but not significant influence on environmental conservation. The waste reduction variable also showed a positive but not significant influence. Meanwhile, employee participation had the strongest relationship with environmental conservation, with a correlation value of 0.410 and a significance of 0.025 (<0.05). These findings show that the success of green hotel programs is more influenced by active employee involvement than by technical and environmental policy aspects alone. Therefore, increased awareness, training, and employee engagement are important factors in supporting environmental sustainability in the hospitality industry.
Strategi Pengemasan dan Pemasaran Produk Desa Wisata: Studi Kasus di Desa Tegaljadi Ni Desak Made Santi Diwyarthi; Putu Diah Sastri Pitanatri; Nyoman Gede Mas Wiartha; Ni Wayan Chintia Pinaria
ABDISOSHUM: Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdisoshum.v5i2.8505

Abstract

Community-based tourism encourages tourism villages to enhance the competitiveness of local products through more innovative packaging and marketing strategies. However, most entrepreneurs in Tegaljadi Village, Tabanan Regency, continue to face limitations in product packaging, brand identity development, and the utilization of digital media as promotional tools. This community service program aimed to improve entrepreneurs’ knowledge and understanding of product packaging and digital marketing to support sustainable tourism village development. The program was conducted from March to April 2026 and involved five MSME owners as a pilot project group. A participatory approach was employed through several stages, including observation, socialization, demonstrations, practical activities, and evaluation. The results indicate that participants’ average level of understanding increased from 2.80 to 4.19, representing an improvement of 49.64%. Furthermore, 80% of the participants began utilizing social media as a promotional tool, while 80% successfully developed stronger product identities through improved packaging designs and labeling. The program also fostered collaboration between MSME actors and the local community in promoting natural honey, traditional Balinese coffee, and jaje kaliadrem as flagship products of the tourism village. These findings suggest that community-based socialization can serve as an effective strategy for enhancing the capacity of local entrepreneurs while strengthening the long-term competitiveness of tourism villages.