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Comparison between multiplicative Holt Winter and decomposition method in predicting the number of incoming international tourists to Indonesia

机译:繁殖霍尔特冬季与分解方法的比较预测印度尼西亚进入国际游客数量

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Indonesia has a remarkable potential in tourism sector, hence government should regulate all matters related with tourism and pay more attention to the developments happening in the tourism sector, including policy-making and planning. One way to aid the govemment in policy making and planning is by conducting a prediction about the number of incoming international tourists to Indonesia. This paper will elaborate the analysis about the comparison between multiplicative Holt-Winter and decomposition method in predicting the number of incoming international tourists to Indonesia. This paper aims to detennine the appropriate forecasting method suitable for the available data pattern and provides more accurate forecasting result. Forecasting could be conducted using multiplicative Holt-Winter method and decomposition method. Meanwhile to detennine the error level and forecast accuracy, mean absolute percentage error (MAPE) is used. Analysis result showed that prediction using Holt-Winter method provides MAPE of 4.7098%, meanwhile the MAPE for decomposition method is 3.3254%. It could be concluded that to detennine the number of incoming international tourist to Indonesia, decomposition method is more appropriate.
机译:印度尼西亚在旅游业具有显着潜力,因此政府应规范与旅游业有关的所有事项,并更加关注旅游部门发生的发展,包括政策制定和规划。帮助政策制定和规划中的政策和规划的一种方法是对印度尼西亚的进入国际游客数量的预测进行了预测。本文将详细阐述乘法霍尔特冬季与分解方法的比较分析,在预测印度尼西亚进入的国际游客数量。本文旨在确定适用于可用数据模式的适当预测方法,并提供更准确的预测结果。可以使用乘法Holt-冬季方法和分解方法进行预测。同时以确定错误级别和预测精度,使用平均绝对百分比误差(MAPE)。分析结果表明,使用Holt-冬季方法的预测提供了4.7098%的Mape,同时分解方法的MAPE为3.3254%。可以得出结论,为了确定印度尼西亚的进入国际旅游人数,分解方法更为合适。

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