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dc.contributor.authorSulistyanto, Hernawan
dc.contributor.authorNurgiyatna
dc.date.accessioned2016-08-05T02:26:10Z
dc.date.available2016-08-05T02:26:10Z
dc.date.issued2016-08-01
dc.identifier.citationAsadi, R. N., Mustapha, and N. Sulaiman, 2009. A Framework for Intelligent Multi Agent System Based Neural Network Classification Model. In International Journal of Computer Science and Information Security (IJCSIS), Vol. 5, No. 1, pp. 168-174. http/sites.google.com/ijcsis/ISSN 1947-5500. Feldman, J., 2010. Optimizing Restaurant Reservation Scheduling, Dept. Of Mathematics, Harvey Mudd College, May. Koulayev, S., 2009. Estimating Demand in Search Markets: The Case of Online Hotel Bookings, Working Report of Federal Reserve , Bank of Boston, No. 09-16, 14th December. Pp. 1-44 McTavis, C. And S. Sankaranarayanan, 2010. Intelligent agent based hotel serach & booking system, IEEE Transaction. Vasudavan, H and J.S. Fernadez, 2012. Intelligent Agent based Consultation Scheduling framework for Institutions of Higher Learning. In International Journal of Innovation, Management and Technology, Vol. 3, No. 4, August, pp. 363-367. Zakhary, A., A.F. Atiya, H. El-Shishiny, and N.E. Gayar, 2009. Forecasting Hotel Arrivals and Occupancy Using Monte Carlo Simulation, IEEE Report, April.in_ID
dc.identifier.issn2477-3328
dc.identifier.urihttp://hdl.handle.net/11617/7482
dc.description.abstractHotel occupancy leveling is one of crucial components in the hotel revenue management. Revenue management is meant to maximize the revenue management from various limited supplies. There has been a trend that the prevailing hotels nowadays have improved the technology aspect to increase the hotel quality and eventually the hotel occupancy. The modeling for hotel occupancy representation is a complex problem because the presentation has linked with the other processes, such as: the arrival reservation, cancelation, length of stay, no-show, group reservation, seasonality, and so on. In fact, the problems rising up recently are not limited on the workers or capital, but more in providing the reservation information. The information should give facility by providing simple method of reservation for the customers. This paper provided brief explanation regarding with the hotel occupancy and then explored the reservation system which implemented Indonesian language called Humane Reservation Assistance (HuResTan). Obvious contribution of this application was the implementation of Indonesian language in the reservation process. Furthermore, it provided the preference to make a reservation for the hotel room after the searching result for targeted room was completed.in_ID
dc.language.isoenin_ID
dc.publisherUniversitas Muhammadiyah Surakartain_ID
dc.subjectDaily languagein_ID
dc.subjectoccupancyin_ID
dc.subjectreservationin_ID
dc.titleHotel Reservation System Using Daily Language to Optimize the Hotel Occupancyin_ID
dc.typeArticlein_ID


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