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

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

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 temper...

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Main Authors: RAMADHAN LENGGU RAMLI, I WAYAN SUMARJAYA, KARTIKA SARI
Format: Article
Language:English
Published: Universitas Udayana 2019-06-01
Series:E-Jurnal Matematika
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/49859
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spelling doaj-071f867fab884a94a8fddcc9ef8af7fb2020-11-25T01:05:15ZengUniversitas UdayanaE-Jurnal Matematika2303-17512019-06-018215516310.24843/MTK.2019.v08.i02.p24749859ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)RAMADHAN LENGGU RAMLI0I WAYAN SUMARJAYA1KARTIKA SARI2Udayana UniversityUdayana UniversityUdayana UniversityNTT 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.https://ojs.unud.ac.id/index.php/mtk/article/view/49859
collection DOAJ
language English
format Article
sources DOAJ
author RAMADHAN LENGGU RAMLI
I WAYAN SUMARJAYA
KARTIKA SARI
spellingShingle RAMADHAN LENGGU RAMLI
I WAYAN SUMARJAYA
KARTIKA SARI
ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
E-Jurnal Matematika
author_facet RAMADHAN LENGGU RAMLI
I WAYAN SUMARJAYA
KARTIKA SARI
author_sort RAMADHAN LENGGU RAMLI
title ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
title_short ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
title_full ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
title_fullStr ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
title_full_unstemmed ANALISIS HUBUNGAN PRODUKSI PERIKANAN TANGKAP LAUT, CURAH HUJAN, DAN SUHU PERMUKAAN LAUT DENGAN MODEL VECTOR AUTOREGRESSIVE (VAR)
title_sort analisis hubungan produksi perikanan tangkap laut, curah hujan, dan suhu permukaan laut dengan model vector autoregressive (var)
publisher Universitas Udayana
series E-Jurnal Matematika
issn 2303-1751
publishDate 2019-06-01
description 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.
url https://ojs.unud.ac.id/index.php/mtk/article/view/49859
work_keys_str_mv AT ramadhanlengguramli analisishubunganproduksiperikanantangkaplautcurahhujandansuhupermukaanlautdenganmodelvectorautoregressivevar
AT iwayansumarjaya analisishubunganproduksiperikanantangkaplautcurahhujandansuhupermukaanlautdenganmodelvectorautoregressivevar
AT kartikasari analisishubunganproduksiperikanantangkaplautcurahhujandansuhupermukaanlautdenganmodelvectorautoregressivevar
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