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Sebaran Thermal Front Musiman di Wilayah Perairan Selat Madura Menggunakan Single Image Edge Detection Trinugroho Trinugroho; Alfi Satriadi; Muslim Muslim
Journal of Marine Research Vol 8, No 4 (2019): Journal of Marine Research
Publisher : Departemen Ilmu Kelautan, Fakultas PerikanJurusan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (973.655 KB) | DOI: 10.14710/jmr.v8i4.24815

Abstract

Thermal front didefinisikan sebagai pertemuan antara dua masa air dengan karakteristik suhu yang berbeda sehingga membentuk gradien suhu. Thermal front merupakan salah satu proses oseanografi penting yang dapat mempengaruhi kondisi fisik, kimia, maupun biologi di laut. Tujuan dari penelitian ini adalah untuk mengetahui sebaran thermal front musiman di perairan Selat Madura, Jawa Timur. Deteksi thermal front dilakukan pada lapisan permukaan laut dengan menggunakan citra AquaMODIS untuk suhu permukaan laut. Citra AquaMODIS yang digunakan memiliki resolusi spasial sebesar 1 km x 1 km dan resolusi temporal selama satu hari. Metode yang digunakan untuk mendeteksi fenomena ini adalah metode Single Image Edge Detection (SIED) yang diperkenalkan oleh Cayula dan Cornilon pada tahun 1992. Metode ini menggunakan prinsip deteksi tepi piksel yang mempertimbangkan nilai gradien suhu dan pola arah dari piksel yang memiliki gradien suhu. Hasil yang diperoleh berupa sebaran spasial dan temporal fenomena thermal front di perairan Selat Madura. Sebaran temporal berdasarkan komposit harian dalam satu musim selama empat tahun dari tahun 2012 – 2016. Rata – rata kejadian thermal front tiap musim sebanyak 446 kali pada musim barat, 1893 kali pada musim peralihan I, 1038 kali pada musim timur, dan 2375 kali pada musim peralihan II. Penyebab utama kejadian front di perairan Selat Madura adalah akibat adanya arus eddy dan masukan masa air laut dari wilayah timur Selat Madura. Thermal front defined as an ecounter of two water masses which has different temperature (thermal) characteristics and create a thermal gradient. Thermal front is one of the most important oceanographic proceses that can make a significant impact to physical, chemical, and biological process in the ocean. The aim of this research is to understand seasonal thermal front distribution in Madura Strait, East Java. Thermal front was detected in the surface layer of water, using AquaMODIS for Sea Surface Temperature (SST). AquaMODIS image which used in this research has 1 km x 1 km spatial resolution and one day (24 hours) temporal resolution. Front detection in this research is using Single Image Edge Detection by Cayula Cornilon (1992). This method is using edge detection of pixel, considering the value of thermal gradient and pattern of the pixel edge. The result of this research is spatial and temporal distribution of thermal front in Madura Strait. Temporal distribution are based on composite result of daily front detection in seasonal range for four years from 2012-2016. Seasonal average of front occurence is 446 times in western season, 1893 times in Transition I, 1038 times in eastern season and 2375 times in Transition II. The main cause of front in Madura strait is eddy current and water masses ecounter from eastern area of Madura.
239/240Pu Dispersion Modeling for Emergencies During Nuclear Power Plant Operations in Malaysia Muslim Muslim; Sa'iyd Husayn Ahmadi; Jarot Marwoto; Heny Suseno; Yvette Agyiriba Aggrey
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 27, No 3 (2022): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.27.3.215-222

Abstract

The East Coast of Johor in Malaysia is a strategic area as a candidate site for nuclear power plants. Its location is near coastal area and is therefore convenient to use seawater as a source of cooling for power plants. This makes the East Malaysia waters, and their surroundings stand a high risk of direct radioactive contamination, especially in event of an accident. Pu is a non-conservative or reactive radionuclide that easily settles with particles and has high radiotoxicity and radiochemistry, making it very dangerous. The purpose of this study was to determine the distribution patterns of 239/240Pu releases in the waters of East Malaysia and the surrounding waters. To determine the affected areas due to 239/240Pu pollution using MIKE flow flexible mesh module and particle tracking module. The magnitude of 239/240Pu used in this model is based on the disaster in Fukushima Daiichi in 2011. This research can be used as a mitigation of 239/240Pu pollution when a nuclear reactor disaster occurs in the area around Indonesia's territorial border. Discharge of 239/240Pu was simulated during the west and east monsoons season which result in the distribution pattern following the seasonal flow pattern. During the west monsoon, the dispersion speed of 239/240Pu is four times faster than the east monsoon. The 239/240Pu distribution is predominantly towards the south, however, the contaminated area was only occurred on the coast of Johor and does not extend to the waters of Indonesia.
Analisis Nutrien dan COD Terhadap Keberadaan Fitoplankton di Pantai Lombok 2, Carita Alifya Putri Hadi; Muslim Muslim; Dwi Haryo Ismunarti
Journal of Marine Research Vol 15, No 2 (2026): Journal of Marine Research
Publisher : Departemen Ilmu Kelautan, Fakultas PerikanJurusan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmr.v15i2.49778

Abstract

Kabupaten Pandeglang, Banten, khususnya Pantai Lombok 2, Carita, merupakan kawasan wisata yang banyak dikunjungi wisatawan. Aktivitas wisata dan antropogenik di kawasan ini berpotensi meningkatkan masukan bahan organik dan anorganik yang mengandung nutrien ke perairan melalui limbah. Akumulasi nutrien dalam kondisi tertentu dapat menyebabkan eutrofikasi yang berdampak pada peningkatan pertumbuhan fitoplankton secara tidak terkendali. Selain itu, peningkatan bahan organik dapat menyebabkan tingginya konsentrasi Chemical Oxygen Demand (COD) yang dapat menurunkan kadar oksigen terlarut serta menyebabkan perubahan pH perairan yang berpotensi mengganggu aktivitas biologis fitoplankton. Oleh karena itu, penelitian ini dilakukan untuk menganalisis kandungan nutrien dan COD serta hubungannya dengan keberadaan fitoplankton di Pantai Lombok 2, Carita. Penelitian ini menggunakan metode kuantitatif dengan analisis deskriptif. Pengambilan sampel dilakukan pada bulan Oktober 2024 menggunakan metode purposive sampling. Hubungan antara parameter dianalisis menggunakan uji Principal Component Analysis (PCA) dengan bantuan software XLSTAT 2024. Hasil analisis PCA menunjukkan bahwa nitrat dan silikat memiliki pengaruh paling besar terhadap kelimpahan fitoplankton, diikuti oleh fosfat dan nitrit. Sementara itu, COD menunjukkan korelasi lemah dengan fitoplankton, mengindikasikan bahwa peningkatan COD dalam dapat mengganggu aktivitas biologis fitoplankton. Pandeglang Regency, Banten, particularly Lombok 2 Beach in Carita, is a popular tourist destination. Tourism and human activities in this area can potentially increase the input of organic and inorganic materials containing nutrients into the waters through waste discharge. Under certain conditions, the accumulation of nutrients can lead to eutrophication, resulting in uncontrolled phytoplankton growth. Additionally, an increase in organic matter can result in high concentrations of Chemical Oxygen Demand (COD), which may reduce dissolved oxygen levels and alter water pH, potentially disrupting the biological activities of phytoplankton. Therefore, this study aims to analyze nutrient and COD levels and their relationship with the presence of phytoplankton in Lombok 2 Beach, Carita. This research employs a quantitative method with a descriptive analysis approach. Sampling was conducted in October 2024 using a purposive sampling method. The relationship between parameters was analyzed using Principal Component Analysis (PCA) with the assistance of XLSTAT 2024 software. PCA analysis results indicate that nitrate and silicate have the most significant influence on phytoplankton abundance, followed by phosphate and nitrite. Meanwhile, COD shows a weak correlation with phytoplankton, indicating that the increase in COD in the waters may disrupt the biological activities of phytoplankton.