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PENGARUH VARIABILITAS OSEANOGRAFI TERHADAP CPUE IKAN TONGKOL (Euthynnus spp) MENGGUNAKAN GENERALIZED ADDITIVE MODEL DI PERAIRAN TERNATE Gilar Budi Pratama; Lady Ayu Sri Wijayanti; Mochhamad Ikhsan Cahya Utama; Nurani Khoerunnisa; Aisyah Aisyah
BAWAL Widya Riset Perikanan Tangkap Vol 18, No 1 (2026): April 2026
Publisher : Politeknik Kelautan dan Perikanan Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/bawal.18.1.2026.23-33

Abstract

Perairan Maluku merupakan salah satu wilayah perikanan strategis di Indonesia yang berperan sebagai habitat penting bagi ikan tongkol (Euthynnus spp.), komoditas pelagis bernilai ekonomi tinggi. Distribusi dan kelimpahan ikan tongkol di wilayah ini sangat dipengaruhi oleh dinamika oseanografi yang bersifat spasial dan temporal. Penelitian ini bertujuan untuk menganalisis pengaruh berbagai parameter oseanografi terhadap variasi Catch Per Unit Effort (CPUE) ikan tongkol di perairan sekitar PPN Ternate selama periode 2021–2023. Analisis dilakukan menggunakan pendekatan Generalized Additive Model (GAM) untuk menangkap hubungan non-linear antara CPUE dan variabel lingkungan. Variabel prediktor yang digunakan meliputi suhu permukaan laut, konsentrasi klorofil-a, kecepatan arus, salinitas, tinggi muka air laut, dan intensitas thermal front. Hasil pemodelan menunjukkan bahwa kombinasi seluruh variabel menghasilkan model terbaik dengan nilai Akaike Information Criterion (AIC) sebesar 453,72, yang mengindikasikan bahwa variasi CPUE tongkol lebih akurat dijelaskan oleh interaksi multivariabel dibandingkan pengaruh variabel tunggal. Uji signifikansi menunjukkan bahwa klorofil-a (p = 0,0356), kecepatan arus (p = 0,0041), dan thermal front (p = 0,0483) berpengaruh nyata terhadap CPUE. Kurva respons mengindikasikan bahwa produktivitas primer, dinamika arus, dan keberadaan thermal front merupakan faktor utama yang mengendalikan pola agregasi ikan tongkol di perairan PPN Ternate.
Preliminary Study of Surface Water Quality Based on DO and BOD Parameters in Pangandaran Reservoir Lady Ayu Sri Wijayanti; Nurani Khoerunnisa; Helmalia Asri; Veronica Veronica; Irna Salwa Al Iksani; Mella Anggraeni; Gilar Budi Pratama; Sitty Ainsyah Habibie
Tomini Journal of Aquatic Science VOLUME 4 ISSUE 1, NOVEMBER 2025
Publisher : Gorontalo State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/tjas.v4i1.33138

Abstract

Pangandaran Reservoir, located in Pangandaran Regency, West Java, serves as a water conservation facility and supports aquaculture activities. Its water quality, particularly in terms of dissolved oxygen (DO) and biochemical oxygen demand (BOD₅), is a key indicator for maintaining the reservoir's ecological and socio-economic functions. This study aims to analyze DO and BOD₅ parameters in Pangandaran Reservoir and evaluate their compliance with applicable water quality standards. Sampling was conducted in May 2025 at four stations representing both the inflow area and the inner reservoir waters. DO levels were measured using the Winkler titration method, while BOD₅ was determined based on the difference in DO concentrations before and after a five-day incubation period. The results showed that water temperatures ranged from 32 to 32.5°C, slightly exceeding the water quality threshold, likely due to high solar radiation and limited vegetation cover. The pH ranged from 7 to 9, which is still within the safe range, with higher pH values observed in the inflow area, influenced by the dominance of limestone (karst) formations in the surrounding Pangandaran region. The highest DO concentration was recorded at Station 4 (4.32 mg. L-1), while the lowest was at Station 2 (3.40 mg. L-1). Conversely, the highest BOD₅ values were found at Station 2 (8.3 mg. L-1) and Station 1 (8 mg. L-1). The spatial distribution pattern indicates a negative relationship between DO and BOD₅, where high organic pollutant loads in the inflow area reduce dissolved oxygen levels. Overall, the water quality of Pangandaran Reservoir falls within Class 2 to Class 4 based on Government Regulation No. 82 of 2001, with signs of declining quality in the inflow area. Therefore, pollution source control and routine monitoring are essential to preserve the aquatic ecosystem of the reservoir.