Recovery Hotel Industry Luxury Hotels in Semarang: Big Data Analysis
- DOI
- 10.2991/978-2-38476-024-4_17How to use a DOI?
- Keywords
- Big data; satisfaction; text mining; semarang; luxury hotel; online review
- Abstract
COVID-19 has significantly affected Semarang and other cities in Indonesia. Following increased vaccination rates, the local government and the central government in Jakarta created a campaign to assure locals and encourage them holiday in Semarang. Due to the pandemic, travelers were more inclined to focus on issues related to the pandemic. This study examined 2705 customer textual reviews from four luxury hotels in the Semarang area through Google Travel. The purpose of this study was to identify new attributes affecting customer satisfaction by using KH Coder. It has become common in today’s society for consumers to express their opinions and feelings online about the products and services they are interested in through social media and online platforms. In order to adjust strategies and increase financial benefits post-COVID-19, the industry may be able to benefit from this abundance of information with the adopted methodology.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rianmahardika Sahid Budiharseno AU - Min Joon Kim AU - Berlin My Anggelita Pramesthi Cahyaningtyas AU - Daffa Faadhilah Suntari Putra AU - Fadhel Husein PY - 2023 DA - 2023/04/19 TI - Recovery Hotel Industry Luxury Hotels in Semarang: Big Data Analysis BT - Proceedings of the International Conference On Law, Economics, and Health (ICLEH 2022) PB - Atlantis Press SP - 143 EP - 149 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-024-4_17 DO - 10.2991/978-2-38476-024-4_17 ID - Budiharseno2023 ER -