Forecasting The Amount of Tuna/Madidihang (Yellowfin tuna) Landed in PPS Kutaraja Banda Aceh City With The Triple Exponential Smoothing Method

  • Muhammad Haikal Nasution Jurusan Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala, Banda Aceh
  • Samsul Anwar Jurusan Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala, Banda Aceh
  • Aida Fitri Jurusan Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala, Banda Aceh
  • Aja Fatimah Zohra Jurusan Statistika Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Syiah Kuala, Banda Aceh
Keywords: forecasting, PPS Kutaraja, production of tuna/madidihang (yellowfin tuna), triple exponential smoothing

Abstract

The Kutaraja Ocean Fisheries Port (PPS) located in Banda Aceh City is central to the fisheries sector in Aceh Province. Various types of fish have been landed at Kutaraja PPS, one of which is tuna/madidihang (yellowfin tuna). Tuna is not only in demand by the local market, but also international markets, especially Japan and America. This study aims to estimate the amount of tuna/madidihang (yellowfin tuna) production landed at Kutaraja PPS in 2018 and 2019. These estimates can help the Aceh Government in controlling the ordering of tuna/madidihang (yellowfin tuna) from within and outside the country, so that the number of tuna/madidihang (yellowfin tuna) caught and ordered can be balanced so that stock control can run well. The forecasting method used in this study is the Triple Exponential Smoothing method by using monthly data on the amount of tuna/madidihang (yellowfin tuna) production landed at Kutaraja PPS from January 2010 to December 2017. Based on the results of forecasting with the best models, the amount of tuna/madidihang (yellowfin tuna) production will landed in the Kutaraja PPS in 2018 and 2019 are predicted to be 2,395,615.8 Kg and 2,451,207.5 Kg respectively.

Downloads

Download data is not yet available.

References

Anwar, S. 2017. Peramalan Suhu Udara Jangka Pendek di Kota Banda Aceh dengan Metode Autoregressive Integrated Moving Average (ARIMA). Malikussaleh Journal of Mechanical Science and Technology, 5(1), 6–12.

BPS Aceh. 2018. Provinsi Aceh Dalam Angka 2017. Banda Aceh: BPS Provinsi Aceh.

Holt, C. C. 2004. Forecasting seasonals and trends by exponentially weighted moving averages. International Journal of Forecasting, 20(1), 5–10.

Makridakis, S., Wheelwright, S. C., & Hyndman, R. J. 1998. Forecasting: Methods and Applications. New Jersey: John Wiley & Sons, Inc.

Menteri Kelautan dan Perikanan RI. 2012. Peraturan Menteri Kelautan dan Perikanan Republik Indonesia Nomor Per.08/Men/2012 Tentang Kepelabuhanan Perikanan. Jakarta: Kementerian Kelautan dan Perikanan.

Pranata, A., Akbar Hsb, M., Akhdansyah, T., & Anwar, S. 2018. Penerapan Metode Pemulusan Eksponensial Ganda dan Tripel Untuk Meramalkan Kunjungan Wisatawan Mancanegara ke Indonesia. Journal of Data Analysis, 1(1), 32–41.

Serambi Indonesia. 2017. 3.000 Ton Tuna Diekspor. Banda Aceh: Serambi Indonesia.

Walpole, R. E. 1982. Introduction to statistics. London: Macmillan Pub. Co.

Winters, P. R. 1960. Forecasting Sales by Exponentially Weighted Moving Averages. Management Science, 6(3), 324–342.

Published
2019-03-04
How to Cite
Nasution, M. H., Anwar, S., Fitri, A., & Zohra, A. F. (2019). Forecasting The Amount of Tuna/Madidihang (Yellowfin tuna) Landed in PPS Kutaraja Banda Aceh City With The Triple Exponential Smoothing Method. Samakia : Jurnal Ilmu Perikanan, 10(1), 08-14. https://doi.org/10.35316/jsapi.v10i1.231
Abstract viewed = 462 times
PDF (Bahasa Indonesia) downloaded = 0 times