Jurnal Informatika Teknologi dan Sains (Jinteks)
Vol 5 No 1 (2023): EDISI 15

PREDIKSI LOKASI IUU FISHING DENGAN CLUSTERING DAN TIME SERIES FORECASTING DI PERBATASAN INDONESIA–FILIPINA

Niken Ayu Firdayanti (Universitas Pertahanan Republik Indonesia)
Trismadi (Universitas Pertahanan Republik Indonesia)
Gentio Harsono (Universitas Pertahanan Republik Indonesia)
Yunita Fatma Faidha (Univeristas Dian Nuswantoro)



Article Info

Publish Date
06 Feb 2023

Abstract

Illegal, unreported, and unregulated (IUU) fishing still occurs a lot in Indonesia, especially in border areas. Indonesian waters have fishery resources, one of which is in the waters of the Indonesia-Philippines border area, located in the Sulawesi Sea and parts of the Pacific Ocean. Forecasting IUU fishing with past VIIRS satellite data to determine the level of illegal fishing in the next year K-Means Clustering and Time Series are the methods used. Forecasting ARIMA models with Python programming instruments The RMSE prediction results vary in each cluster with a relatively small error value. Predictions for the next 12 months show IUU fishing will occur every month with varying amounts in each cluster. IUU fishing will occur a lot in the K6 cluster in every season. Predictions can be used as a basis for planning scheduled surveillance patrols by taking into account the location and potential timing of IUU fishing.

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Journal Info

Abbrev

JINTEKS

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Jurnal Informatika Teknologi dan Sains (JINTEKS) merupakan media publikasi yang dikelola oleh Program Studi Informatika, Fakultas Teknik dengan ruang lingkup publikasi terkait dengan tema tema riset sesuai dengan bidang keilmuan Informatika yang meliputi Algoritm, Software Enginering, Network & ...