Open AccessForecasting Hotel Expenses using The Arima Method
Author(s) -
T. Syahromi,
Irfan Dwiguna Sumitra
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022108
Subject(s) - autoregressive integrated moving average , documentation , computer science , statistics , operations research , data mining , time series , engineering , mathematics , machine learning , programming language
The purpose of the research is for the purpose of the paper to forecast expenses in hotels forecasting costs incurred in hotels using the ARIMA method that is the data used is the cost of expenditure data from January 2014 to January 2019. in addition to the data obtained by using a descriptive method that is documentation with collect data and in the literature. This method was chosen because of the suitability of the amount and pattern of existing data. Based on the results of research using the ARIMA method is suitable for forecasting data that has trends. That means using the ARIMA method will bring good data to broadcasts that can make good analysis for the company. in addition, the results of the study indicate that using the ARIMA method (1,1,1) an estimated result is obtained from 788450868.46 - 758272912.67 in January 2019 and has a MAPE of 6,616718.