Analysis of hotel ratings and price range in labuan bajo, Indonesia
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Published:
Feb 28, 2023
Keywords:
Labuan Bajo, Hotel, Satisfaction, Travelers, Tourism sector
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Computer Science
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Abstract
This research aimed to analyze the ratings and reviews of hotels in Labuan Bajo, Indonesia to understand the quality of hotels in Labuan Bajo. Data was collected from a popular online travel booking platform and pre-processed to exclude hotels with less than 10 reviews. K-means clustering was used to identify the optimum number of clusters, which was found to be 3, based on the elbow method. Cronbach alpha analysis was also performed with a value of 0.92, indicating a high level of reliability in the data. Correlation analysis was then performed on each cluster, revealing positive correlations between cleanliness, location, and facilities with overall satisfaction in cluster 0, and negative correlations between cleanliness, service, and value for money with overall satisfaction in cluster 1. The findings from this study imply that further improvement is necessary to meet the expectations of travelers in terms of service, value for money, and cleanliness in hotels located in Labuan Bajo.
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How to Cite
Pratama, I. W. P. . and Ondi Asroni (2023) “Analysis of hotel ratings and price range in labuan bajo, Indonesia”, Jurnal Mantik, 6(4), pp. 3827-3874. doi: 10.35335/mantik.v6i4.3513.
References
Abrate, G., Quinton, S., & Pera, R. (2021). The relationship between price paid and hotel review ratings: Expectancy-disconfirmation or placebo effect?. Tourism Management, 85. https://doi.org/10.1016/j.tourman.2021.104314
Amirrudin, M., Nasution, K., & Supahar, S. (2020). Effect of Variability on Cronbach Alpha Reliability in Research Practice. Jurnal Matematika, Statistika Dan Komputasi, 17(2), 223–230. https://doi.org/10.20956/jmsk.v17i2.11655
Berezina, K., Cobanoglu, C., Miller, B. L., & Kwansa, F. A. (2012). The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word-of-mouth. International Journal of Contemporary Hospitality Management, 24(7), 991–1010. https://doi.org/10.1108/09596111211258883
BPS Indonesia. (n.d.). Statistic of hotel in Indonesia. https://manggaraibaratkab.bps.go.id/indicator/16/87/1/perkembangan-akomodasi-hotel.html (accessed at 14 January 2023)
Casidy, R., & Wymer, W. (2016). A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price. Journal of Retailing and Consumer Services, 32, p. 189-197. DOI: https://doi.org/10.1016/j.jretconser.2016.06.014
El-Said, O. A. (2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33(October 2019), 100604. https://doi.org/10.1016/j.tmp.2019.100604
Lai, L. H., Liu, C. T., & Lin, J. T. (2011). The moderating effects of switching costs and inertia on the customer satisfaction-retention link: auto liability insurance service in Taiwan. Insurance markets and companies: analyses and actuarial computations, 2(1), p. 69-78.
Lehto, X. Y., Park, O. J., & Gordon, S. E. (2015). Migrating to new hotels: A comparison of antecedents of business and leisure travelers’ hotel switching intentions. Journal of Quality Assurance in Hospitality & Tourism, 16(3), p. 235-258. DOI: https://doi.org/10.1080/1528008X.2014.925787
Nainggolan, R., Perangin-Angin, R., Simarmata, E., & Tarigan, A. F. (2019). Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method. Journal of Physics: Conference Series, 1361(1). https://doi.org/10.1088/1742-6596/1361/1/012015
Pearson, K. (1895) Notes on Regression and Inheritance in the Case of Two Parents Proceedings of the Royal Society of London, 58, 240-242. https://doi.org/10.1098/rspl.1895.0041
Pertiwi, P. R., & Sulistyawati, A. S. (2020). Factors of Influence in Choosing Accommodation: a Study With Reference To Mas Village, an Artistic Heritage Village in Ubud - Bali. Journal of Business on Hospitality and Tourism, 6(1), 27. https://doi.org/10.22334/jbhost.v6i1.183
Qi, Lu., & Qiang, Ye. (2013). How hotel star rating moderates online word-of-mouth effect: A difference-in-difference approach. Management Science and Engineering (ICMSE), 2013 International Conference on. http://dx.doi.org/10.1109/ICMSE.2013.6586254
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Sheeran, P. (2002) Intention—Behavior Relations: A Conceptual and Empirical Review. European Review of Social Psychology, 12, 1-36. http://dx.doi.org/10.1080/14792772143000003
Shi, C., Wei, B., Wei, S., Wang, W., Liu, H., & Liu, J. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. Eurasip Journal on Wireless Communications and Networking, 2021(1). https://doi.org/10.1186/s13638-021-01910-w
Singh, Y., & Mohan, A. (2016). A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering. International Journal of Computer Applications, 156(8), 6–9. https://doi.org/10.5120/ijca2016912481
Suh, M., Moon, H., Han, H., & Ham, S. (2015). Invisible and intangible, but undeniable: Role of ambient conditions in building hotel guests’ loyalty. Journal of Hospitality Marketing & Management, 24(7), p. 727-753. DOI: https://doi.org/10.1080/19368623.2014.945223
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
The Minister of Public Affairs Indonesia. (n.d.). Labuan Bajo, Surga tersembunyi di Indonesia bagian timur. https://kemlu.go.id/copenhagen/id/read/labuan-bajo-surga-tersembunyi-di-indonesia-bagian-timur/700/information-sheet (accessed at 14 January 2023)
Amirrudin, M., Nasution, K., & Supahar, S. (2020). Effect of Variability on Cronbach Alpha Reliability in Research Practice. Jurnal Matematika, Statistika Dan Komputasi, 17(2), 223–230. https://doi.org/10.20956/jmsk.v17i2.11655
Berezina, K., Cobanoglu, C., Miller, B. L., & Kwansa, F. A. (2012). The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word-of-mouth. International Journal of Contemporary Hospitality Management, 24(7), 991–1010. https://doi.org/10.1108/09596111211258883
El-Said, O. A. (2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33(October 2019), 100604. https://doi.org/10.1016/j.tmp.2019.100604
Nainggolan, R., Perangin-Angin, R., Simarmata, E., & Tarigan, A. F. (2019). Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method. Journal of Physics: Conference Series, 1361(1). https://doi.org/10.1088/1742-6596/1361/1/012015
Pertiwi, P. R., & Sulistyawati, A. S. (2020). Factors of Influence in Choosing Accommodation: a Study With Reference To Mas Village, an Artistic Heritage Village in Ubud - Bali. Journal of Business on Hospitality and Tourism, 6(1), 27. https://doi.org/10.22334/jbhost.v6i1.183
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Shi, C., Wei, B., Wei, S., Wang, W., Liu, H., & Liu, J. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. Eurasip Journal on Wireless Communications and Networking, 2021(1). https://doi.org/10.1186/s13638-021-01910-w
Singh, Y., & Mohan, A. (2016). A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering. International Journal of Computer Applications, 156(8), 6–9. https://doi.org/10.5120/ijca2016912481
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Zhao, X. (Roy), Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management, 27(6), 1343–1364. https://doi.org/10.1108/IJCHM-12-2013-0542
Amirrudin, M., Nasution, K., & Supahar, S. (2020). Effect of Variability on Cronbach Alpha Reliability in Research Practice. Jurnal Matematika, Statistika Dan Komputasi, 17(2), 223–230. https://doi.org/10.20956/jmsk.v17i2.11655
Berezina, K., Cobanoglu, C., Miller, B. L., & Kwansa, F. A. (2012). The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word-of-mouth. International Journal of Contemporary Hospitality Management, 24(7), 991–1010. https://doi.org/10.1108/09596111211258883
BPS Indonesia. (n.d.). Statistic of hotel in Indonesia. https://manggaraibaratkab.bps.go.id/indicator/16/87/1/perkembangan-akomodasi-hotel.html (accessed at 14 January 2023)
Casidy, R., & Wymer, W. (2016). A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price. Journal of Retailing and Consumer Services, 32, p. 189-197. DOI: https://doi.org/10.1016/j.jretconser.2016.06.014
El-Said, O. A. (2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33(October 2019), 100604. https://doi.org/10.1016/j.tmp.2019.100604
Lai, L. H., Liu, C. T., & Lin, J. T. (2011). The moderating effects of switching costs and inertia on the customer satisfaction-retention link: auto liability insurance service in Taiwan. Insurance markets and companies: analyses and actuarial computations, 2(1), p. 69-78.
Lehto, X. Y., Park, O. J., & Gordon, S. E. (2015). Migrating to new hotels: A comparison of antecedents of business and leisure travelers’ hotel switching intentions. Journal of Quality Assurance in Hospitality & Tourism, 16(3), p. 235-258. DOI: https://doi.org/10.1080/1528008X.2014.925787
Nainggolan, R., Perangin-Angin, R., Simarmata, E., & Tarigan, A. F. (2019). Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method. Journal of Physics: Conference Series, 1361(1). https://doi.org/10.1088/1742-6596/1361/1/012015
Pearson, K. (1895) Notes on Regression and Inheritance in the Case of Two Parents Proceedings of the Royal Society of London, 58, 240-242. https://doi.org/10.1098/rspl.1895.0041
Pertiwi, P. R., & Sulistyawati, A. S. (2020). Factors of Influence in Choosing Accommodation: a Study With Reference To Mas Village, an Artistic Heritage Village in Ubud - Bali. Journal of Business on Hospitality and Tourism, 6(1), 27. https://doi.org/10.22334/jbhost.v6i1.183
Qi, Lu., & Qiang, Ye. (2013). How hotel star rating moderates online word-of-mouth effect: A difference-in-difference approach. Management Science and Engineering (ICMSE), 2013 International Conference on. http://dx.doi.org/10.1109/ICMSE.2013.6586254
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Sheeran, P. (2002) Intention—Behavior Relations: A Conceptual and Empirical Review. European Review of Social Psychology, 12, 1-36. http://dx.doi.org/10.1080/14792772143000003
Shi, C., Wei, B., Wei, S., Wang, W., Liu, H., & Liu, J. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. Eurasip Journal on Wireless Communications and Networking, 2021(1). https://doi.org/10.1186/s13638-021-01910-w
Singh, Y., & Mohan, A. (2016). A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering. International Journal of Computer Applications, 156(8), 6–9. https://doi.org/10.5120/ijca2016912481
Suh, M., Moon, H., Han, H., & Ham, S. (2015). Invisible and intangible, but undeniable: Role of ambient conditions in building hotel guests’ loyalty. Journal of Hospitality Marketing & Management, 24(7), p. 727-753. DOI: https://doi.org/10.1080/19368623.2014.945223
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
The Minister of Public Affairs Indonesia. (n.d.). Labuan Bajo, Surga tersembunyi di Indonesia bagian timur. https://kemlu.go.id/copenhagen/id/read/labuan-bajo-surga-tersembunyi-di-indonesia-bagian-timur/700/information-sheet (accessed at 14 January 2023)
Amirrudin, M., Nasution, K., & Supahar, S. (2020). Effect of Variability on Cronbach Alpha Reliability in Research Practice. Jurnal Matematika, Statistika Dan Komputasi, 17(2), 223–230. https://doi.org/10.20956/jmsk.v17i2.11655
Berezina, K., Cobanoglu, C., Miller, B. L., & Kwansa, F. A. (2012). The impact of information security breach on hotel guest perception of service quality, satisfaction, revisit intentions and word-of-mouth. International Journal of Contemporary Hospitality Management, 24(7), 991–1010. https://doi.org/10.1108/09596111211258883
El-Said, O. A. (2020). Impact of online reviews on hotel booking intention: The moderating role of brand image, star category, and price. Tourism Management Perspectives, 33(October 2019), 100604. https://doi.org/10.1016/j.tmp.2019.100604
Nainggolan, R., Perangin-Angin, R., Simarmata, E., & Tarigan, A. F. (2019). Improved the Performance of the K-Means Cluster Using the Sum of Squared Error (SSE) optimized by using the Elbow Method. Journal of Physics: Conference Series, 1361(1). https://doi.org/10.1088/1742-6596/1361/1/012015
Pertiwi, P. R., & Sulistyawati, A. S. (2020). Factors of Influence in Choosing Accommodation: a Study With Reference To Mas Village, an Artistic Heritage Village in Ubud - Bali. Journal of Business on Hospitality and Tourism, 6(1), 27. https://doi.org/10.22334/jbhost.v6i1.183
Schober, P., & Schwarte, L. A. (2018). Correlation coefficients: Appropriate use and interpretation. Anesthesia and Analgesia, 126(5), 1763–1768. https://doi.org/10.1213/ANE.0000000000002864
Shi, C., Wei, B., Wei, S., Wang, W., Liu, H., & Liu, J. (2021). A quantitative discriminant method of elbow point for the optimal number of clusters in clustering algorithm. Eurasip Journal on Wireless Communications and Networking, 2021(1). https://doi.org/10.1186/s13638-021-01910-w
Singh, Y., & Mohan, A. (2016). A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering. International Journal of Computer Applications, 156(8), 6–9. https://doi.org/10.5120/ijca2016912481
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
Zhao, X. (Roy), Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management, 27(6), 1343–1364. https://doi.org/10.1108/IJCHM-12-2013-0542
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