Adding Exogenous Variable in Forming ARIMAX Model to Predict Export Load Goods in Tanjung Priok Port

Authors

  • Elvina Catria Universitas Negeri Padang
  • Atus Amadi Putra
  • Dony Permana
  • Dina Fitria

DOI:

https://doi.org/10.24036/ujsds/vol1-iss1/10

Keywords:

ARIMA, ARIMAX, forecasting, exports, exogenous

Abstract

The main idea of world maritime has been launched by the Indonesia’s Government through the development of inter-island connectivity, namely a logistics distribution line system using cargo ships with scheduled routes. However, in terms of inter-island sea transportation connectivity using sea transportation, the number of ships used for loading and unloading activities at Tanjung Priok in 2020 reached 11,876 units, which number decreased by 12.6% compared to the previous year, this figure was not sufficient for transportation of Indonesian loading and unloading goods (exports). This condition is important to note because the implementation of sea transportation, especially for sea toll transportation, if it cannot reach all regions, will cause freight transportation in some areas to be limited and regional economic growth cannot be distributed evenly. The purpose of this study is to predict the number of goods loaded (exported) at the Port of Tanjung Priok, by establishing an export forecasting model. Exogenous variable in the form of the Indonesian Wholesale Price Index. After analyzing the data, the order of the ARIMA model (5,1,1) was obtained as a parameter to estimate the ARIMAX model. From the ARIMAX model (5,1,1), the model's accuracy rate is 13.25% which is quite feasible to use to predict the total export cargo for the period January 2021-December 2021. Forecasting results show better fluctuations than in 2020.

Published

2022-01-12 — Updated on 2023-02-09

Versions

How to Cite

Elvina Catria, Putra, A. A., Permana, D., & Fitria, D. (2023). Adding Exogenous Variable in Forming ARIMAX Model to Predict Export Load Goods in Tanjung Priok Port. UNP Journal of Statistics and Data Science, 1(1), 31–38. https://doi.org/10.24036/ujsds/vol1-iss1/10 (Original work published January 12, 2022)

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