The Development of a Room Division Application Implementing an Intelligent Planning System (IPS) to Enhance Hotel Operational Performance
DOI:
https://doi.org/10.62951/momat.v1i2.32Keywords:
Hotel Application, Room Division, Intelligent Planning System, Hotel TechnologyAbstract
Businesses, regardless of size, must continuously adjust to fast-paced technological advancements to remain competitive, particularly in the hotel industry. The Room Division plays a vital role as the heart of the hotel business, serving as the frontliner. A significant number of hotels have implemented technological advancements inside their operational room divisions, particularly in the front office and housekeeping departments. However, there are only a limited number of apps that can provide automation for analyzing the effectiveness of room attendants using delegation systems. A prototype of the hotel room division application based on the Intelligent Planning System (IPS). The IPS module provides automated analysis with rapid and precise outcomes, minimizing human involvement and reducing the likelihood of human mistakes. The research is conducted by applying the Software Development Life Cycle (SDLC) with the waterfall model, which includes planning, development, testing, and implementation stages. The prototype's anticipated outcome is to serve as a viable solution, with innovative features potentially benefiting the hotel's operational room division.
References
Araujo, A. C., Araújo, R. D. S., Dourado, L. R. B., Machado, J. S., Bayão, G. F. V., Amoroso, L., Artoni, S. M. B., Shimano, A. C., & Silva Sousa, K. R. (2022). Analysis of performance, bone characteristics, and expression of genes involved in the balance of ionic concentrations in broilers subjected to dietary electrolyte balance levels. British Poultry Science, 63(2), 226–234. https://doi.org/10.1080/00071668.2021.1966754
Bharwani, S., & Mathews, D. (2021). Techno-business strategies for enhancing guest experience in luxury hotels: a managerial perspective. Worldwide Hospitality and Tourism Themes, 13(2), 168–185. https://doi.org/10.1108/WHATT-09-2020-0121
Boshniaku, A. (2023). Industry 4.0-based Technologies as a Tool for Implementation of Strategies for Diversified Growth. Economic and Social Alternatives, 29(1), 38. https://doi.org/10.37075/ISA.2023.1.03
Buhalis, D., & Cheng, E. S. Y. (2020). Exploring the Use of Chatbots in Hotels: Technology Providers’ Perspective. Information and Communication Technologies in Tourism 2020, 231–242. https://doi.org/10.1007/978-3-030-36737-4_19
Buhalis, D., & Leung, R. (2018). Smart hospitality—Interconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. https://doi.org/10.1016/J.IJHM.2017.11.011
Chistyakova, T. B., Shashikhina, O. E., & Novozhilova, I. V. (2022). Intelligent Information System for Optimizing the Production Planning Process. Proceedings of the 2022 International Conference “Quality Management, Transport and Information Security, Information Technologies”, 267–270. https://doi.org/10.1109/ITQMIS56172.2022.9976629
Deri, M. N., & Ari Ragavan, N. (2023). Digital Future of the Global Hospitality Industry and Hospitality Education: Review of Related Literature. Asia-Pacific Journal of Futures in Education and Society. https://doi.org/10.58946/APJFES-2.2.P5
Firdaus, N., Fithriyah, S., Hartatik, Purbayu, A., A’La, F. Y., & Riasti, B. K. (2022). Towards Tourism Management Platform for Culinary Tourism Management and Merchandise E-Catalogs. 2022 7th International Conference on Informatics and Computing, ICIC 2022. https://doi.org/10.1109/ICIC56845.2022.10006931
Kaur, N., Mahajan, N., Singh, V., & Gupta, A. (2023). Artificial Intelligence Revolutionizing The Restaurant Industry - Analyzing Customer Experience Through Data Mining and Thematic Content Analysis. Proceedings of 2023 3rd International Conference on Innovative Practices in Technology and Management, ICIPTM 2023. https://doi.org/10.1109/ICIPTM57143.2023.10117897
Liu, Q., Hou, J., Yan, Y., Sharma, U., & Gupta, D. (2021). Analyzing the applications of internet of things in hotel industry. Journal of Physics: Conference Series, 1969(1), 012041. https://doi.org/10.1088/1742-6596/1969/1/012041
Malyzhenkov, P. (2023). INDUSTRY 4.0 TECHNOLOGICAL ENVIRONMENT AND IT IMPACT ON BUSINESS PERFORMANCES: AN OVERVIEW. International Journal of Latest Research in Engineering and Management (IJLREM), 7(6), 01–03. https://doi.org/10.56581/IJLREM.7.6.I76P0103
Oktadiana, H. (2012). Multidisciplinary approach in the curriculum development: A case in a hospitality and tourism program in Jakarta, Indonesia.
Sepulveda, J. M., & Deporter, E. L. (1987). IPSS: An approach towards automated decisions in CIM systems. Computers & Industrial Engineering, 13(1–4), 11–14. https://doi.org/10.1016/0360-8352(87)90041-6
Singh, V., & Puri, D. (2021). An influence of digitalization and recent innovations on the hospitality and tourism sector. In D. S. M. Ferdinand-James (Ed.), Big Data Analytics for Improved Accuracy, Efficiency, and Decision Making in Digital Marketing (pp. 150–161). https://doi.org/10.4018/978-1-7998-7231-3.CH011
Tuomi, A., Tussyadiah, I. P., & Stienmetz, J. (2021). Applications and implications of service robots in hospitality. Cornell Hospitality Quarterly, 62(2), 232–247. https://doi.org/10.1177/1938965520923961
Umachandran, K., Jurčić, I., Della Corte, V., & Ferdinand-James, D. S. (2019). Industry 4.0. In I. Tussyadiah & J. Stienmetz (Eds.), Handbook of Research on Technological Developments for Cultural Heritage and e-Tourism Applications (pp. 138–156). https://doi.org/10.4018/978-1-5225-6207-8.CH006
Wang, M. H., Jiang, W. J., & Huang, M. L. (2015). An intelligence maximum power point tracking controller for human power system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9011, 573–582. https://doi.org/10.1007/978-3-319-15702-3_55
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