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  • 标题:TRIPLE EXPONENTIAL SMOOTHING: FORECASTING PERBANDINGAN PENUMPANG KERETA API DAN PESAWAT TERBANG
  • 本地全文:下载
  • 作者:Khoirin Azaro ; Nur Indah Riwajanti ; Anik Kusmintarti
  • 期刊名称:Media Mahardhika: Media Komunikasi Ekonomi dan Manajemen
  • 印刷版ISSN:0854-0861
  • 电子版ISSN:2407-4950
  • 出版年度:2020
  • 卷号:18
  • 期号:2
  • 页码:277-286
  • DOI:10.29062/mahardika.v18i2.156
  • 出版社:Sekolah Tinggi Ilmu Ekonomi (STIE) Mahardika
  • 摘要:This research aims to predict the number of train and airplane passengers in 2020. Forecasting of train and airplane passengers is interest to analyze and estimate consumer demand to help the train or airline company prepare effective and efficient planning. This type of research is descriptive quantitative and uses data taken from the Indonesian Statistic Agency (BPS). Data were analyzed using Exponential smoothing Method. Train and airplane passenger data shows trend and seasonal patterns so that the exponential method used is Triple Exponential smoothing. The results of the study show that train passengers in 2020 are increase. While forecast results related to aircraft passengers in 2020 also tend to increase.
  • 关键词:Exponential Smoothing;Triple Exponential Smoothing;Forecasting
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