Prastha Adyatma
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Pengaruh Sosial Media Instagram terhadap Keputusan Menginap di The Jayakarta Bali Beach Resort & Spa Putu Ricky Danendra; I Nyoman Sukana Sabudi; Prastha Adyatma; Ni Desak Made Santi Diwyarthi
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 3 No. 4 (2024): Desember 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v3i4.4190

Abstract

Social media also uses stimuli to influence customer perceptions and behavior. Therefore, companies use it as a strategic tool to develop strategies to enhance their corporate image, brand loyalty, brand awareness, brand equity, and brand sustainability. Currently, companies predominantly build their social media sites and share interesting information about their products to raise awareness and improve brand-building effectiveness and customer acquisition. Social media has become an important and easy platform for delivering information to the public. In this context, The Jayakarta Hotel has followed the promotional trend through digital marketing. The method used in this study is a quantitative method with a descriptive quantitative approach. Data collection was carried out by distributing an online questionnaire using Google Forms to 115 respondents. The method used in this research is purposive sampling. The data analysis techniques employed include simple linear regression analysis, the coefficient of determination, and the t-test. The results of this study show that the influence of Instagram social media on the decision to stay has a significance value (Sig.) of 0.000, which is smaller than 0.05. This means that the regression model used in this study has a partial or valid effect, indicating that H1 is accepted. Thus, it can be concluded that Instagram social media has a positive and significant influence on the decision to stay at The Jayakarta Hotel Bali Beach & Resort.
Guest Sentiment Analysis Based on Online Reviews to Optimize Guest Satisfaction at Hotel X I Dewa Gde Tri Jaya Cahyadi; Putu Diah Sastri Pitanatri; Prastha Adyatma
Brilliant International Journal Of Management And Tourism Vol. 5 No. 2 (2025): June : Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i2.4442

Abstract

Tourism has become one of the largest and fastest-growing industries globally. Advances in technology and communication have brought significant changes in various aspects, especially in the hospitality industry. Using a dataset from November 2024 to January 2025, this sentiment analysis was conducted using the Naive Bayes classification method (Gaussian, Multinomial, and Bernoulli). The results show that 72.99% of reviews are positive, while 19.08% are negative and 7.93% are neutral. The Naive Bayes model demonstrates high accuracy in classifying positive sentiment but exhibits differences in classification accuracy for the negative and neutral categories due to class imbalance. Occupancy data reveals a peak in 2023 and a significant decline in 2024. This study reveals the importance of ongoing sentiment analysis to establish management strategies, address service gaps, and improve guest satisfaction, which aims to improve guest satisfaction in the competitive hospitality market.