Forecasting Sea Cucumber Catches Using the ARIMA Method

Maria Oktaviani Jehanus (1) , Lusi Mei Cahya Wulandari (2) , Agrienta Bellanov (3)
(1) Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117 , Indonesia
(2) Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117 , Indonesia
(3) Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117 , Indonesia

DOI:

https://doi.org/10.18535/sshj.v9i01.1437

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Issue
Vol. 9 No. 01 (2025)
Published
2025-01-04
Keywords:
    Forecasting, ARIMA, Sea Cucumber
PDF

Abstract

Sea cucumbers are marine resources that have a significant ecological role and important economic value. UD. Matahari Jalan Sukolilo Baru II, Bulak District, Surabaya is an MSME that processes sea cucumber catches and sells them to various distributors, including trading abroad. The catch of sea cucumbers obtained by fishermen in uncertain quantities, every subsequent period. Therefore, the results of sea cucumber fishing are known to be influenced by several factors, one of which is climatic factors such as temperature, humidity and tides. The research was conducted to predict the uncertain catch of sea cucumbers with the ARIMA method to obtain effective modeling and equations. Forecasting can help determine the right period by using one of the methods that correspond to the sequence of time. The ARIMA method is an approach used in time series analysis to model and forecast data arranged in a specific order. Predict the catch of sea cucumbers by looking at the smallest error, and the catch of sea cucumbers after forecasting in the next period. The result of the selection of the best ARIMA model from the humidity variable is (1,1,1) more significant and effective for sea cucumber fishing in the short term (1.2 days) in the rainy season, with the smallest error of 271.11. The forecast results in April 2024 for the 107 period are 268.42 kg, the forecast data is close to the actual data in the previous period.

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Authors

Maria Oktaviani Jehanus
Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117
Lusi Mei Cahya Wulandari
Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117
Agrienta Bellanov
Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117
Author Biography

Maria Oktaviani Jehanus, Industrial Engineering, Darma Cendika Catholic University, Jl. Dr. Ir. H. Soekarno No.201, Klampis Ngasem, Sukolilo, Surabaya, East Java 60117

https://www.linkedin.com/in/meher-afroj-lutfa-660460b5/?trk=opentosprofile_topcard

 

[1]
“Forecasting Sea Cucumber Catches Using the ARIMA Method”, Soc. sci. humanities j., vol. 9, no. 01, pp. 6440–6450, Jan. 2025, doi: 10.18535/sshj.v9i01.1437.