This is an outdated version published on 30-06-2023. Read the most recent version.

FORECASTING OF INTERNATIONAL FLIGHTS PASSENGER AT SOEKARNO-HATTA AIRPORT USING THE TRIPLE EXPONENTIAL SMOOTHING METHOD

Authors

Sella Nofriska Sudrimo

DOI:

https://doi.org/10.31258/jsmds.v1i1.8

Keywords:

Exponential Smoothing Method, Triple Exponential Smoothing Method, Seasonal Data, MAD (Mean Absolute Deviation), MAPE

Abstract

: This study aims to predict the number of passengers at Sorkarno-Hatta Airport using the method with the first step testing the stationary pattern and seasonal pattern from the data. The triple exponential smoothing method is better at predicting seasonal data on the number of passengers at Soekarno Hatta airport. The best triple exponential smoothing model that can be used to predict the number of passengers at Soekarno Hata Airport is F_t= 0.40x_t+0.31St+0.91S_t-1+1.89 b_t-1 +0.60 l_t-L with optimal parameters alpha = 0.10, betha = 0.01, and gamma = 0.30.

Downloads

Published

30-06-2023

Versions

30-06-2023 (3)
30-06-2023 (1)

How to Cite

Sudrimo, S. N. (2023). FORECASTING OF INTERNATIONAL FLIGHTS PASSENGER AT SOEKARNO-HATTA AIRPORT USING THE TRIPLE EXPONENTIAL SMOOTHING METHOD. Journal of Statistical Methods and Data Science, 1(1), 37–49. https://doi.org/10.31258/jsmds.v1i1.8