Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/4813
Title: Forecasting the Hotel Room Reservation Rate in East Kalimantan Using Double Exponential Smoothing
Authors: Ramadiani, Ramadiani
Wardani, Nurhidayat
Jundillah, Muhammad Labib
Azainil, Azainil
Kridalaksana, A. Harsa
Keywords: Room Reservation; Double Exponential Smoothing; Mean Squared Error; East Kalimantan
Issue Date: Oct-2019
Publisher: IEEE
Citation: Ramadiani, N. Wardani, A. Harsa Kridalaksana, M. Labib Jundillah and Azainil, "Forecasting the Hotel Room Reservation Rate in East Kalimantan Using Double Exponential Smoothing," 2019 Fourth International Conference on Informatics and Computing (ICIC), Semarang, Indonesia, 2019, pp. 1-7, doi: 10.1109/ICIC47613.2019.8985916.
Abstract: Abstract: Forecasting the room reservation rate is an important thing for the Central Statistics Agency of East Kalimantan Province because it can affect the income of the hotel and the existing regional economic indicators. In this study, we used Double Exponential Smoothing (DES) method to predict the reservation rate. DES Method uses an alpha constant value that randomly selected in the calculation process. To forecast the room reservation rate in January 2019, we used the data from 2014 to 2018 with the alpha values 0.1, 0.3, 0.5, 0.7 and 0.9. The error forecasting results of each alpha value are calculated using the Mean Squared Error method (MSE). The study results the forecasting alpha 0.1 with an MSE error value of 19.278478603164 and the best forecasting value of reservation rate for January 2019 is 52,263.
URI: https://ieeexplore.ieee.org/abstract/document/8985916
https://www.researchgate.net/profile/Ramadiani_Ramadiani/publication/339176713_Forecasting_the_Hotel_Room_Reservation_Rate_in_East_Kalimantan_Using_Double_Exponential_Smoothing/links/5ebb9139458515626ca56de8/Forecasting-the-Hotel-Room-Reservation-Rate-in-East-Kalimantan-Using-Double-Exponential-Smoothing.pdf
http://repository.unmul.ac.id/handle/123456789/4813
ISBN: 978-1-7281-2207-6
Appears in Collections:J - Computer Sciences and Information Technology



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