PERAMALAN JUMLAH PENUMPANG PESAWAT TERBANG DI PINTU KEDATANGAN BANDAR UDARA INTERNASIONAL PATTIMURA AMBON DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS

  • Sasmita Hayoto Jurusan Matematika FMIPA, Universitas Pattimura
  • Yopi Andry Lesnussa Jurusan Matematika, FMIPA, Universitas Pattimura https://orcid.org/0000-0002-8729-3437
  • Henry W. M. Patty Jurusan Matematika FMIPA, Universitas Pattimura
  • Ronald John Djami Prodi Statistika, Jurusan Matematika F-MIPA UNPATTI
Keywords: Forecasting Number of Passengers, Times Series Analysis, ARIMA

Abstract

The Autoregressive Integrated Moving Average (ARIMA) model is often used to forecast time series data. In the era of globalization, rapidly progressing times, one of them in the field of transportation. The aircraft is one of the transportation that the residents can use to support their activities, both in business and tourism. The objective of the research is to know the forecasting of the number of passengers of airplanes at the arrival gate of Pattimura Ambon International Airport using ARIMA Box-Jenkins method. The best model selection is ARIMA (0, 1, 3) because it has significant parameter value and MSE value is smaller.

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Published
2019-10-01
How to Cite
[1]
S. Hayoto, Y. Lesnussa, H. Patty, and R. Djami, “PERAMALAN JUMLAH PENUMPANG PESAWAT TERBANG DI PINTU KEDATANGAN BANDAR UDARA INTERNASIONAL PATTIMURA AMBON DENGAN MENGGUNAKAN METODE ARIMA BOX-JENKINS”, BAREKENG, vol. 13, no. 3, pp. 135-144, Oct. 2019.