Anis, Mahfud Al’afi and Widiarti, Widiarti and Kurniasari, Dian and Usman, Mustofa (2020) Peramalan Data Time Series Seasonal Menggunakan Metode Analisis Spektral. Jurnal Siger Matematika, 1 (1). pp. 10-15. ISSN 2721-5849 (p), 2721-6853(e)

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Air transportation is now a mode of transportation that is often the first choice. Although the transportation costs are relatively expensive, it can save a lot of time to get to the destination. Therefore, predicting the number of aircraft passengers is an interesting thing to study. In this study forecasting the number of aircraft passengers at Raden Intan II Airport using spectral analysis methods. Spectral analysis is used to obtain more complete information about the time series data characteristics to examine the periodicity. After getting the periodicity the data is modeled using the ARIMA Seasonal Method. Based on the analysis results it is known that the best model for forecasting aircraft passengers at Raden Intan II Airport is Seasonal ARIMA (0,1,1) (0,1,1)3

Item Type: Article
Subjects: Q Science > QA Mathematics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika
Depositing User: WIDIARTI
Date Deposited: 29 Apr 2020 01:59
Last Modified: 29 Apr 2020 01:59

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