ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)

Abstract

NTT Province is one of the provinces with the largest marine catch fisheries production in Indonesia. Rainfall and sea surface temperature are factors that affect marine catch fisheries production. This study aims to analyze relationships between marine catch fisheries production, sea surface temperature and rainfall in NTT based on time series data using a vector autoregressive model (VAR). The result of this study: (i) the best VAR model for forecasting marine catch fisheries, rainfall, and sea surface temperature is a second-order VAR model (VAR (2)), (ii) based on MAPE forecasting criterion, the VAR model obtained classified as good forecasting for variable production of marine catch fisheries, and sea surface temperature, while for rainfall forecasting is inaccurate, (iii) significant sea surface temperatures affect marine catch fisheries production and rainfall in NTT.

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Author Biographies

RAMADHAN LENGGU RAMLI, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

I WAYAN SUMARJAYA, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

KARTIKA SARI, Udayana University

Program Studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2019-06-06
How to Cite
RAMLI, RAMADHAN LENGGU; SUMARJAYA, I WAYAN; SARI, KARTIKA. ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR). E-Jurnal Matematika, [S.l.], v. 8, n. 2, p. 155-163, june 2019. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/49859>. Date accessed: 29 sep. 2022. doi: https://doi.org/10.24843/MTK.2019.v08.i02.p247.
Section
Articles

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