HUBUNGAN SUHU PERMUKAAN LAUT DAN KLOROFIL-a TERHADAP HASIL TANGKAPAN IKAN PELAGIS DI DAERAH TELUK LAMPUNG KOTA BANDAR LAMPUNG PROVINSI LAMPUNG

WINALDI, TRI and Fauziyah, Fauziyah and Apri, Rezi (2021) HUBUNGAN SUHU PERMUKAAN LAUT DAN KLOROFIL-a TERHADAP HASIL TANGKAPAN IKAN PELAGIS DI DAERAH TELUK LAMPUNG KOTA BANDAR LAMPUNG PROVINSI LAMPUNG. Undergraduate thesis, Sriwijaya University.

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Abstract

Sumber daya perairan Teluk Lampung telah dimanfaatkan untuk berbagai kegiatan masyarakat, diantaranya kegiatan penangkapan ikan. Informasi lingkungan perairan dari data satelit telah banyak digunakan dalam bidang kelautan dan perikanan terutama untuk mengetahui parameter-parameter yang berhubungan dengan distribusi ikan pelagis di perairan. Tujuan penelitian ini adalah menentukan sebaran SPL dan klorofil di Teluk Lampung menggunakan penginderaan jauh, menganalisis data tangkapan ikan pelagis yang didaratkan dan menganalisis pengaruh antar variabel SPL dan klorofil terhadap hasil tangkapan ikan. Penelitian dilaksanakan di UPTD Lempasing Kota Bandar Lampung dengan menggunakan data hasil tangkapan ikan tahun 2019 dan data citra Aqua MODIS tahun 2019. Metode uji yang digunakan adalah uji normalitas, uji multikolinearitas, uji heteroskedastisitas, uji autokolerasi. Hasil penelitian menunjukkan bahwa hasil tangkapan tertinggi di Pelabuhan Perikanan Pantai Lempasing tahun 2019 tertinggi yaitu ikan tongkol dengan jumlah tangkapan 127.883 kg. Sebaran Suhu permukan laut tertinggi pada tahun 2019 yaitu pada musim barat dan musim peralihan 1 yang mencapai 33°C dan konsentrasi klorofil tertinggi terjadi pada musim peralihan 2 yang mencapai 4.5 mg/m3. Hasil tangkapan ikan tertinggi dari 50 spesies yang didaratkan di PPP Lempasing yaitu ikan tongkol dengan jumlah 127883 kg dan tangkapan ikan tongkol tertinggi tahun 2019 yaitu pada musim timur dengan total 74.843 kg dengan sebaran suhu permukaan laut berkisar 26 °C – 31 °C dan sebaran klorofil-a yang berkisar 0,4 mg/m3 – 4,2 mg/m3. Pengaruh tertinggi yang di disebabkan suhu permukaan laut dan klorofil-a terhadap hasil tangkapan ikan dari kelima ikan pelagis yang di tangkap yaitu ikan tembang dengan nilai 19.4 %. Lampung Bay water resources have been used for various community activities, including fishing activities. Information on the aquatic environment obtained from satellitedata has been widely used in the marine and fisheries sector, especially to determine the parameters related to the distribution of pelagic fish in the waters. The purpose of this study was to determine the distribution of SPL and chlorophyll in Lampung bay using remote sensing, to analyze pelagic fish catch data and to analyze the effect between SPL and chlorophyll variables on fish catch. The research was carried out at UPTD Lempasing Bandar Lampung using 2019 fish catch data and 2019 Aqua MODIS image data. The test methods used were normality test, multicollinearity test, heteroscedasticity test and auto correlation test. The results showed that the highest catch at the coastal fishing port of Lempasing in 2019 was mackerel tuna fish, with a total catch of 127.883 kg. The distribution of the highest sea surface temperature in 2019, namely in the western season and transition season 1 which reached 33 ° C and the highest chlorophyll concentration occurred in transitional season 2 which reached 4.5 mg/m3. The highest fish catch of the 50 species raised in PPP Lempasing is tuna fish with a total of 127.883 kg and the highest mackerel tuna fish catch in 2019, namely in the eastern season with a total of 74.843 kg with a sea surface temperature distribution ranging 26 °C – 31 °C and chlorophyll-a which ranges from 0,4 mg/m3 – 4,2 mg/m3. The highest effect caused by sea surface temperature and chlorophyll-a on the fish catch of five types of pelagic fish is tembang fish with a value of 19.4 %.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Hasil Tangkapan Ikan Pelagis, Klorofil, Suhu Permukaan Laut
Subjects:	G Geography. Anthropology. Recreation > GC Oceanography > GC1000-1023 Marine resources. Applied oceanography Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	08-Faculty of Mathematics and Natural Science > 54241-Marine Science (S1)
Depositing User:	Users 11434 not found.
Date Deposited:	30 Mar 2021 08:24
Last Modified:	30 Mar 2021 08:24
URI:	http://repository.unsri.ac.id/id/eprint/44449

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