I. Lisnawati, D.M. Sari, R. Fajar, P. Prihantini, A.Y. Avanda, R. Subekti
The purpose of this study is to determine the number and pattern of visitors to Borobudur Temple by using a seasonal statistical analysis model and predict the number of visitors and patterns in the next periods. The statistical analysis method used in this study is modeling and forecasting with data exploration using the Moving Average Model Autoregressive Seasonal (SARIMA) application. Visitor's data of Borobodur Temple for four years from 2012 to 2016 were used in this study. The SARIMA model successfully shows the pattern of tourists visiting Borobudur Temple which has three peaks of visitors each year, with the two highest peaks occurring in the mid-year period in June-July, and the end and beginning of the year in December-January. Similar visitor patterns for 12 periods were also obtained for 2017 forecasting results with the number of visitors in the initial period of the year showing an increase in visitors compared to previous years. © 2018 Author(s).
Department of Mathematics Education, Faculty of Mathematics and Natural Sciences (FMIPA), Yogyakarta State University, Kampus Karangmalang, Jl. Colombo No. 1, Yogyakarta, 55281, Indonesia
