The Occupancy Rate Modeling of Kendari Hotel Room using Mexican Hat Transformation and Partial Least Squares
DOI:
https://doi.org/10.21512/comtech.v7i4.3766Keywords:
occupancy rate modeling, hotel room modeling, Mexican hat, partial least squaresAbstract
Partial Least Squares (PLS) method was developed in 1960 by Herman Wold. The method particularly suits with construct a regression model when the number of independent variables is many and highly collinear. The PLS can be combined with other methods, one of which is a Continuous Wavelet Transformation (CWT). By considering that the presence of outliers can lead to a less reliable model, and this kind of transformation may be required at a stage of pre-processing, the data is free of noise or outliers. Based on the previous study, Kendari hotel room occupancy rate was affected by the outlier, and it had a low value of R2. Therefore, this research aimed to obtain a good model by combining the PLS method and CWT transformation using the Mexican Hats them other wavelet of CWT. The research concludes that merging the PLS and the Mexican Hat transformation has resulted in a better model compared to the model that combined the PLS and the Haar wavelet transformation as shown in the previous study. The research shows that by changing the mother of the wavelet, the value of R2 can be improved significantly. The result provides information on how to increase the value of R2. The other advantage is the information for hotel managements to notice the age of the hotel, the maximum rates, the facilities, and the number of rooms to increase the number of visitors.Plum Analytics
References
Abdi, H. (2003). Partial Least Square regression (PLS regression). Encyclopedia for Research Methods for the Social Sciences, 792-795.
Addison, P. S. (2002). The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance London: Institute of Physics Publishing.
Biro Humas & PDE Pemerintah Provinsi Sulawesi Tenggara. (2013). Profil Sulawesi Tenggara. Retrieved from http://www.sulawesitenggaraprov.go.id/ensiklopedia.php
Boulesteix, A., & Strimmer, K. (2006). Partial least squares: A versatile tool for the analysis of highdimensional genomic data. Briefings in Bioinformatics, 8(1), 32-44.
Carrascal, L. M., Galvan, I., & Gordo, O. (2009). Partial least squares regression as an alternative to current regression methods used in ecology. Oikos, 118(5),681-690.
Daubechies, I. (1992). Ten lectures on wavelets. Philadelphia: Society for industrial and applied mathematics.
Garthwaite, P. H. (1994). An interpretation of partial least squares. Journal of the American Statistical Association, 89(425), 122-127.
Investor Daily Indonesia. (2012). Pertumbuhan Ekonomi Sultra Lampaui Nasional. Retrieved from http://www.investor.co.id/home/pertumbuhan-ekonomi-sultra-lampaui-nasional/28618
Katalog BPS. (2011). Direktori dan Tingkat Penghunian Kamar Hotel Provinsi Sulawesi Tenggara Tahun 2011. Kendari: Badan Pusat Statistik Provinsi Sulawesi Tenggara.
Mercorelli, P. (2014). A wavelet-based algorithm without a prior knowledge of noise level for gross errors detection. WIT Transactions on Information and Communiation Technologies, 53, 9-16.
Media Sultra. (2011). Sektor Perhotelan Sultra Serap 8791 Tenaga Kerja. Retrieved from http://sindikasi.inilah.com/read/detail/1812732/sektor-perhotelan-sultra-serap-8791-tenagakerja.
Naes, T., Isaksson, T., Fearn, T., & Davies, T. (2002). A user friendly guide to multivariate calibration and classification. Chichester: NIR publications.
Ohyver, M. (2013). Penerapan metode transformasi logaritma natural dan partial least squares untuk memperoleh model bebas multikolinier dan outlier. MatStat, 13(1), 42-51.
Ohyver, M., & Pudjihastuti, H. (2014). Pemodelan tingkat penghunian kamar hotel di Kendari dengan transformasi wavelet kontinu dan partial least squares. ComTech, 5(2), 1178-1189.
Ohyver, M., & Tanty, H. (2012). Pendeteksianoutlier pada model regresi ganda studi kasus: Tingkat penghunian kamar hotel di Kendari. MatStat, 12(2), 114-122.
Ramzan, S., & Khan, I. M. (2010). Dimension reduction and remedy of multicollinearity using latent variable regression methods. World Applied Science Journal, 8(4), 404-410. 334 ComTech Vol. 7 No. 4 December 2016: 325-334
Yu, D., Sheikholeslami, G., & Zhang, A. (2002). Find Out: Finding outliers in very large datasets. Knowledge and Information Systems, 4(4), 387-412.
Yeniay, O., & Goktas, A. (2002). A comparison of partial least squares regression with other prediction methods. Hacettepe Journal of Mathematics and Statistics, 31(99), 99-101.
Zong, N. N., Che, E. G., Ji, T., & Xiao, Y. (2013). Detection of outliers of financial time series based on wavelet transform modulus maximum. In Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on (pp. 529-533). IEEE.
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