ANALISIS DAERAH PENANGKAPAN IKAN TUNA SIRIP KUNING Thunnus albacares DI PERAIRAN SUMATERA BARAT BERDASARKAN MODEL GAM

Siregar, Emma Suri Yanti; Siregar, Vincentius P.; Agus, Syamsul Bahri

doi:10.29244/jitkt.v10i2.21908

Cited by 8 publications

(2 citation statements)

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“…Jika fungsi GAM yang dikembangkan berada pada posisi nol maka ini mengindikasikan tidak adanya pengaruh terhadap konsentrasi sampah plastik. Selanjutnya jika fungsi GAM berada diatas nol maka parameter tersebut berpengaruh kuat, sebaliknya jika fungsi GAM yang dikembangkan berada dibawah nilai nol maka parameter tersebut berpengaruh lemah (Siregar, 2018) Candikusuma 60-80%, Sungai Melaya di sempadan Sungai Desa Melaya 20-40% (Gambar 10).…”

Section: Distribusi Sebaran Sampah Relatifunclassified

Distribusi Pencemaran Sampah Plastik pada Sempadan Sungai di Bali yang Bermuara di Perairan Selat Bali dengan Analisis Generalized Additive Models (GAM)

Utama

Hendrawan²,

Karang³

et al. 2023

JMRT

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Plastic waste in the oceans is a global problem which becomes a primary concern. The oceans become the final waste shelter that comes from land. Rivers essentially distribute plastic waste from the ground to the sea. Still, few studies currently examine waste distribution on riverbanks, especially rivers that discharge into the Bali Strait. This study aimed to determine the distribution of plastic waste along rivers in Bali Island that discharge into Bali Strait. Waste data was collected using the method developed by CSIRO (Commonwealth Scientific and Industrial Research Organisation). The data collected was used to generate prediction models with GAM to predict the distribution of plastic waste on riverbanks. The GAM method was chosen because it can accommodate non-linear influences; furthermore, GAM uses the smooth function to substitute details of parametric relationships on covariates so that it would give a good prediction. The distribution of plastic waste in 30 rivers was predicted. This research data showed that the most common waste found was a plastic waste at 90%, and non-plastic waste was found at 10%. Based on the prediction, most of the distribution of plastic waste along these 30 rivers had a relative concentration of plastic waste of about 0-20%. The highest concentration of plastic waste was found on the riverbanks of Selanbawak village, Pekutatan village, Pulukan village, Pendem village, and Tuwed village, with 80-100%. The riverbanks close to markets and tourism destinations and the number of populations with a strong relationship with smooth contributions caused relatively high plastic waste concentration. The prediction of the total plastic waste leakage at the riverbanks of the 30 rivers is 3,438,472 pieces, which this plastic waste will pollute Bali Strait.

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Section: Distribusi Sebaran Sampah Relatifunclassified

Distribusi Pencemaran Sampah Plastik pada Sempadan Sungai di Bali yang Bermuara di Perairan Selat Bali dengan Analisis Generalized Additive Models (GAM)

Utama

Hendrawan²,

Karang³

et al. 2023

JMRT

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“…Siregar et al, [20] found that yellowfin tuna were distributed in the southern area of Sumatra based on chlorophyll analysis. Bahri and Sari [21] also conducted research on the catchment area of yellowfin tuna through a morphometric approach from January to August 2017.…”

Section: Introductionmentioning

confidence: 99%

Catching investigation of yellowfin tuna (Thunnus Albacares) based on the distribution of chlorophyll-a in the North Waters of Aceh: A November and December analysis

et al. 2022

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The purpose of this study was to analyze the distribution of chlorophyll-a on the catch of yellowfin tuna in the northern waters of Aceh. This research was conducted in the north of Aceh waters starting from November to December 2020. fish catch data was collected by direct survey in the field by following the activities of fishermen and recording the number of catches. Data on chlorophyll-a was obtained from Aqua Modis satellite imagery. The catch data analysis used the CPUE model, while the chlorophyll-a analysis was carried out using the SeaDas 7.5 and ArcGIS. The results showed that the catch of yellowfin tuna was higher in November than in December as well as the distribution of chlorophyll-a content. The coefficient of determination (Adjusted R Square) is 0.09, which means that the relationship between chlorophyll-a and yellowfin tuna catches is only 9%, while 91% is influenced by other factors. These results inform that the content of chlorophyll-a does not show a significant relationship to the catch of yellowfin tuna.

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Characteristics and distribution of stranded plastic pollution in Bali conservation areas

Hendrawan,

Pamungkas,

Adibhusana

et al. 2023

Marine Pollution Bulletin

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ANALISIS DAERAH PENANGKAPAN IKAN TUNA SIRIP KUNING Thunnus albacares DI PERAIRAN SUMATERA BARAT BERDASARKAN MODEL GAM

Cited by 8 publications

References 0 publications

Distribusi Pencemaran Sampah Plastik pada Sempadan Sungai di Bali yang Bermuara di Perairan Selat Bali dengan Analisis Generalized Additive Models (GAM)

Distribusi Pencemaran Sampah Plastik pada Sempadan Sungai di Bali yang Bermuara di Perairan Selat Bali dengan Analisis Generalized Additive Models (GAM)

Catching investigation of yellowfin tuna (Thunnus Albacares) based on the distribution of chlorophyll-a in the North Waters of Aceh: A November and December analysis

Characteristics and distribution of stranded plastic pollution in Bali conservation areas

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