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Analisis Karakteristik Marine Debris Terhadap Persentase Tutupan Terumbu Karang di Perairan Wangi-Wangi Taman Nasional Wakatobi Husmayani, Wa Ode; Zamani, Neviaty Putri; Ismet, Meutia Samira; Natih, Nyoman Metta N.; Sallatu, Muh Ashry
Jurnal Kelautan Tropis Vol 27, No 2 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i2.23052

Based on data from the OECD's Global Plastic Outlook (2022), marine debris in the world has reached 350 million tons, which dominates plastic waste. Indonesia is the second country after Tingkok which produces the most marine debris. Based on the results of the National Waste Management Information System data from the Ministry of Environment and Forestry (Ministry of Environment and Forestry) it shows that Indonesia produces 34.85 million tonnes of landfilled waste. Of the total, 12.13 million tonnes of waste per year is not managed in 2022. The President of the Republic of Indonesia, Mr. Joko Widodo, is very concerned and committed to the waste problem and has a target to reduce marine plastic waste by 70% by 2025 in order to achieve the target set by the President of the Republic of Indonesia. Therefore, research on marine debris in coastal areas and small islands in Indonesia is very important information to research. This research was conducted in Wangi-Wangi Waters, Wakatobi Regency on 12-15 September 2023. The aim was to determine the type, abundance and weight of marine debris and its relationship with coral cover in Wangi-Wangi Waters. The marine debris sampling method is based on two characteristics, namely the intertidal zone (sandy beach) using the shoreline survey methodology and the subtidal zone (coral reef ecosystem) using the Belt Transect method (KLHK, 2020). ). Marine debris macro criteria range from (>2.5 cm - <1 m) Based on research results, the dominant abundance of macro marine debris was found to be 187 items/m2 of plastic, followed by wood and its derivatives 162 items/m2, glass 17 items/m2, cloth and its derivatives 12 items/m2 , fiber 12 items/m2, and rubber 8 items/m2. The total weight of macro marine debris in the intertidal zone is 574.10 grams/m2 and the subtidal zone is 178.7 grams/m2. Data on live coral cover ranges from 54.33% to 73.07%, good criteria. The relationship between the abundance of macro marine debris and coral cover has an inverse relationship, the higher the live coral cover, the lower the abundance of macro marine debris in that area. Berdasarkan data OECD’s Global Plastic Outlook (2022) marine debris di dunia telah mencapai sebesar 350 juta ton yang mendominasi sampah plastik. Indonesia menjadi negara peringkat kedua setelah tingkok penghasil marine debris terbanyak. Berdasrakan hasil data sistem informasi pengelolaan sampah Nasional dari KLHK (Kementrian Lingkungan Hidup dan Kehutanan) menunjukan bahwa Indonesia mengahsilkan 34.85 juta ton timbunan sampah dari total tersebut 12.13 juta tonsampah per tahun sampah tidak di kelola pada tahun (2022). Presiden RI Bapak Joko widodo sangat konsen dan berkomitmen dengan permasalahan sampah dan memiliki target untuk menurunkan sampah plastik laut sebanyak 70% pada tahun 2025 dalam rangka mencapai target yang telah ditetapkan oleh presiden RI. Oleh karena itu maka penelitian marine debris di wilayah pesisir dan pulau-pulau kecil Indonesia merupakan suatu informasi sangat penting untuk diteliti. Penelitian ini dilakukan di Perairan Wangi-Wangi, Kabupaten Wakatobi pada 12-15 September 2023. Bertujuan untuk mengetahui jenis, kelimpahan,dan berat marine debris serta hubungannya dengan tutupan terumbu karang di Perairan Wangi-Wangi. Metode pengambilan sampel marine debris berdasarkan dua karakteristik yaitu zona intertidal (pantai berpasir) menggunakan metode survei garis pantai (shoreline survey methodology)dan zona subtidal (ekosistem terumbu karang) menggunakan metode Belt Transect atau transek sabuk (KLHK, 2020. Kriteria makro marine debris berkisar (>2.5 cm - <1.0 m) Berdasarkan hasil penelitian kelimpahan macro marine debris yang dominan ditemukan yaitu jenis plastik sebanyak 187 item/m2, diikuti kayu dan turunannya 162 item/m2, kaca 17 item/m2, kain dan turunannya 12 item/m2, fiber 12 item/m2, dan karet 8 item/m2. Berat total macro marine debris pada zona intertidal sebesar 574.10 gram/m2 dan zona subtidal sebesar 178.7 gram/m2. Data tutupan karang hidup berkisar 54.33%-7307% kriteria baik. Hubungan kelimpahan macro marine debris dengan tutupan karang memliki hubungan yang berbanding terbalik, semakin tinggi tutupan karang hidup maka semakin rendah maka kelimpahan macro marine debris pada area tersebut.

Analysis of Mangrove Leaf Litter Decomposition Rate in Mangrove Ecosystem of Muara Pagatan, South Kalimantan Selviani, Selviani; Zamani, Neviaty Putri; Natih, Nyoman Metta N; Tarigan, Nurhayati
Jurnal Kelautan Tropis Vol 27, No 1 (2024): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v27i1.21913

Mangroves are the dominant ecosystem in coastal areas and estuaries and one of the most productive ecosystems in the world. Mangroves are an essential component in a complex food chain and have the potential for the life of various marine and terrestrial biotas, microorganisms, and macroorganisms. The decomposition of mangrove leaf litter by fungal bacteria produces nutrient source that is beneficial for fish, shrimps, and crabs. This study discusses the production and decomposition rate of mangrove leaf litter in the mangrove ecosystem of Muara Pagatan, South Kalimantan. With transect and litter trap methods, litter production during the observation ranged from 218.51 - 858.28 g/m2/45day. Of the four types of mangroves found, the highest litter production was found in Rhizophora mucronata mangrove species at 858.28 g/m2/45day, followed by Bruguiera gymnorrhiza species at 268.52 g/m2/45day, and the lowest litter production was Avicennia marina mangrove species at 222.9 g/m2/45day and Sonneratia alba at 218.51 g/m2/45day. The remaining dry weight during observation ranged from 1.06 g - 2.46 g. In sum, the highest litter productivition and decomposition rate was found in Rhizophora species and litter was not completely decomposed after 45 days.

The Population Structure of Endemic Halmahera Walking Shark (Hemiscyllium halmahera, Allen 2013) in Kao Bay Sea, North Maluku, Indonesia Akbar, Nebuchadnezzar; Bengen, Dietriech Geoffrey; Nurjaya, I Wayan; Natih, Nyoman MN; Baksir, Abdurrachman; Subhan, Beginer; Arafat, Dondy; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Najamuddin, Najamuddin; Wahab, Iswandi
Journal Omni-Akuatika Vol 19, No 2 (2023): Omni-Akuatika November
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2023.19.2.1090

The Halmahera Walking Shark (Hemiscyllium halmahera) is an endemic fish in the Halmahera Sea. This species is distributed and found in the Kao Bay sea. The International Union for Conservation of Nature (IUCN) data shows that the Halmahera Walking Shark is in the Near Threatened status. Protection is carried out to protect the population, therefore scientific data and information are needed. This study focuses on the biological structure of the Halmahera Walking Shark population in Kao Bay sea. Data collection was carried out exploratively in coral reef, seagrass, mangrove ecosystems and by-catch. Samples were taken for morphometric data, weight and sex. Morphometric data were analyzed to obtain cohorts, separation index, class intervals, length-weight relationships and condition factors of walking shark. The result were found to be 33 individuals (13 male and 20 female). Morphological characteristics based on morphometric variables found no significant differences. Analysis of the cohort of the Halmahera Walking Shark (H.halmahera) found 3 groups namely the juvenile, mature and old age phases. The separation index shows that individuals come from different populations based on length. Growth pattern of the Halmahera Walking Shark (H.halmahera) is negative allometric. The histogram of the frequency distribution between classes found small to large size structures with different relative frequency percentages. The condition factor found that the body proportions of the Halmahera Walking Shark (H.halmahera) were in the plump category. All of this information is important to provide scientific data specifications to population.Keywords : Endemism, Halmahera, Morphology, Island, Semi enclosed

Condition and zonation of mangrove ecosystems in the small islands around the area crossed by the equatorial line of North Maluku Province Najamuddin, Najamuddin; Baksir, Abdurrachman; Akbar, Nebuchadnezzar; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Arafat, Dondy; Paembonan, Rustam E; Kotta, Raismin; Subhan, Beginer; Tahir, Irmalita; Natih, Nyoman MN; Wibowo, Eko S; Marus, Ikbal; Nurjaya, I Wayan; Bengen, Dietriech Geoffrey
Depik Vol 13, No 2 (2024): AUGUST 2024
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.13.2.32075

The South Halmahera Islands feature a comprehensive marine coastal ecology. The ecosystems found were seagrass, mangrove and coral reef ecosystems. The components that sustain the existence of this ecosystem are employed equitably because of its geographical location on the equator. Mangrove ecosystems that provide benefits directly and indirectly to the community. The purpose of this study was to determine the condition of the mangrove ecosystem based on the hemispherical photography method and the type of zonation. Tawabi Island, Kayoa, South Halmahera Regency served as the site of the equator research. The research station is determined as many as 3 stations. Mangrove percent cover canopy using the hemispherical photography and transect quadrant for density. Field data gathering procedures with transects drawn perpendicular from the sea to the land. Zonation characteristics and thickness using zone tracking. Density mangrove using ecology analysis and zonation using canvas 9.0. The results of the research founded were Rhizophora apiculata, Rhizophora mucronata and Sonneratia alba. Mangrove percent cover canopy were good category (75-81%), where station I (75%), station II (81%) and station III (77%). Station I having 600 trees per ha, station II having 500 trees per ha, and station III having 400 trees per ha (low density category). Mangroves were found in 3 zones Sonneratia alba, Rhizophora apiculata and Rhizophora mucronata. The mangrove thickness from sea to land at station I (65 meters), station II (69 meters) and station III (42 meters).Keywords:biodiversitycoastalequator lineHalmaheratropical

Condition and zonation of mangrove ecosystems in the small islands around the area crossed by the equatorial line of North Maluku Province Najamuddin, Najamuddin; Baksir, Abdurrachman; Akbar, Nebuchadnezzar; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Arafat, Dondy; Paembonan, Rustam E; Kotta, Raismin; Subhan, Beginer; Tahir, Irmalita; Natih, Nyoman MN; Wibowo, Eko S; Marus, Ikbal; Nurjaya, I Wayan; Bengen, Dietriech Geoffrey
Depik Vol 13, No 2 (2024): AUGUST 2024
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.13.2.32075

The South Halmahera Islands feature a comprehensive marine coastal ecology. The ecosystems found were seagrass, mangrove and coral reef ecosystems. The components that sustain the existence of this ecosystem are employed equitably because of its geographical location on the equator. Mangrove ecosystems that provide benefits directly and indirectly to the community. The purpose of this study was to determine the condition of the mangrove ecosystem based on the hemispherical photography method and the type of zonation. Tawabi Island, Kayoa, South Halmahera Regency served as the site of the equator research. The research station is determined as many as 3 stations. Mangrove percent cover canopy using the hemispherical photography and transect quadrant for density. Field data gathering procedures with transects drawn perpendicular from the sea to the land. Zonation characteristics and thickness using zone tracking. Density mangrove using ecology analysis and zonation using canvas 9.0. The results of the research founded were Rhizophora apiculata, Rhizophora mucronata and Sonneratia alba. Mangrove percent cover canopy were good category (75-81%), where station I (75%), station II (81%) and station III (77%). Station I having 600 trees per ha, station II having 500 trees per ha, and station III having 400 trees per ha (low density category). Mangroves were found in 3 zones Sonneratia alba, Rhizophora apiculata and Rhizophora mucronata. The mangrove thickness from sea to land at station I (65 meters), station II (69 meters) and station III (42 meters).Keywords:biodiversitycoastalequator lineHalmaheratropical

The spatial distribution of coral diversity and conection to the oceanography conditions of Tidore Island Waters Angkotasan, Abdul Motalib; Siolimbona, Abdul Ajiz; Salnuddin, Salnudin; Ismail, Firdaut; Daud, Asmar Hi; Natih, Nyoman Metta N
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.47445

The Optimal coral reefs are distributed in shallow waters between 0 and 30 m deep, influenced by the hydro-oceanographic variability of the waters. Globally, corals are distributed in various forms of water predominantly found in the Coral Triangle region. This study aims to examine the spatial distribution of coral biodiversity in the Tidore Island Waters. This study was conducted in the Tidore Island Waters at three research stations, namely Tugulufa Station, Toloa Station and Tanjun Konde Station. This study analyzed the spatial distribution of coral and the relationship between coral biodiversity and the hydro-oceanographic conditions of the Tidore Island waters. The results showed that the highest coral diversity was found at Toloa Station, with the largest area being the Acropora tabulate coral life form. Acropora coral species were found throughout the research location, with the highest percentage of cover found at Toloa Station. Temperature and salinity variables are the main characteristics in the three research locations. Temperature has a role and main characteristics in Toloa Station. The spatial distribution of Acropora corals is related to temperature and salinity variability.Keywords:Coral reefTidore waterTemperatureSalinity

Mapping and validation of spatial algorithm for monitoring turbidity of seagrass habitat using sentinel-2B imagery in Ternate Island Paembonan, Rustam Effendi; Bengen, Dietriech Geoffrey; Nurjaya, I Wayan; Agus, Syamsul Bahri; Natih, Nyoman Metta N; Subhan, Beginer; Santoso, Joko
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46989

Turbidity is a parameter of the marine environment that greatly affects the condition of seagrass whose habitat is an intertidal zone in shallow sea waters. Seagrass is an important type of ecosystem that can be found in several coastal areas of Ternate Island. This study aims to analyze the turbidity conditions of seagrass habitat waters and apply a remote sensing algorithm using Sentinel 2B images. The turbidity research method was carried out by field measurements. The turbidity algorithm model used refers to references with mathematical equations (Rrs665-0.014)/0.013, and the development of a new algorithm as a comparison algorithm. Both algorithms were validated with field data to determine the level of accuracy using the Normalized Mean Absolute Error (NMAE) and determination coefficient (R2). The results were obtained from turbidity data with values ranging from 0.3 NTU to 1.5 NTU with an average value of 0.87 0.45 NTU. The Sentinel 2B image in this study was restored with geometric corrections, atmosphere, radiometric digital values, land masking, and sun glint. The turbidity algorithm model used obtained good accuracy in mapping and monitoring the turbidity of seagrass habitat waters on Ternate Island. The application of the turbidity algorithm used as a reference in this study has an NMAE value of 50.44 and R2 of 0.8822, while the newly discovered turbidity algorithm has an NMAE value of 29.38 and R2 of 0.8827.Keywords:remote sensingecosystemscoastalsedimentationNorth Maluku

Preliminary study oceanography and environmental parameters of habitat endemic species Halmahera walking shark (Hemiscyllium halmahera) on Indopacific Ocean Area in North Maluku Indonesia Natih, Nyoman Metta N; Akbar, Nebuchadnezzar; Bengen, Dietriech G; Nurjaya, I Wayan; Subur, Riyadi; Baksir, Abdurrachman; Ismail, Firdaut; Wahab, Iswandi; Arafat, Dondy; Paembonan, Rustam E; Siolimbona, Abdul Ajiz; Rasidi, Rasidi; Budiman, Asep Sandra; Subhan, Beginer
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46913

The Halmahera Walking Shark (Hemiscyllium halmahera) is an endemic species in the Halmahera Sea. Information related to the environment in general has not been described in a complex manner. The environment is the main factor to support the life of biota. Environmental characteristics are a determining factor in the sustainability of biota. The study aims to provide information related to the physical environment of the habitat of the H. halmahera species. Primary data collection was carried out directly (in situ). Current data was taken using the Lagrange method using a currents drogue. Tides using tidal palms and observed for 24 hours. Secondary data was taken from Marine Copernicus and the Geospatial Information Agency (BIG). All data were tabulated and analyzed by Ocean Data View (ODV) software. The results of the study found that the surface current velocity was found to be in the fast current category. Current speed descriptively provides information on the life of H. halmahera. Primary data shows that the direction of the surface current moves to the east and north. Secondary data in vertical distribution shows weak zonal and meridional current shifts. The tidal pattern was found to be two high and low tides (semidiurnal). The distribution of surface temperature was found to be around 30-32oC. The vertical temperature profile found three layers, namely 1-13m (30oC), 65m (25oC) and 71m (20oC). The chemical environment showed all normal variables. The physical and chemical environmental conditions support H. halmahera to inhabit the sea area of Morotai Island. The environmental description has provided a brief understanding of how the ecological role of the H. halmahera species. Management and sustainability of the environment in the future due to climate change can be done with information on habitat characteristics.Keywords:coral triangleHalmaheranicheNorth Malukutropical

The spatial distribution of coral diversity and conection to the oceanography conditions of Tidore Island Waters Angkotasan, Abdul Motalib; Siolimbona, Abdul Ajiz; Salnuddin, Salnudin; Ismail, Firdaut; Daud, Asmar Hi; Natih, Nyoman Metta N
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.47445

The Optimal coral reefs are distributed in shallow waters between 0 and 30 m deep, influenced by the hydro-oceanographic variability of the waters. Globally, corals are distributed in various forms of water predominantly found in the Coral Triangle region. This study aims to examine the spatial distribution of coral biodiversity in the Tidore Island Waters. This study was conducted in the Tidore Island Waters at three research stations, namely Tugulufa Station, Toloa Station and Tanjun Konde Station. This study analyzed the spatial distribution of coral and the relationship between coral biodiversity and the hydro-oceanographic conditions of the Tidore Island waters. The results showed that the highest coral diversity was found at Toloa Station, with the largest area being the Acropora tabulate coral life form. Acropora coral species were found throughout the research location, with the highest percentage of cover found at Toloa Station. Temperature and salinity variables are the main characteristics in the three research locations. Temperature has a role and main characteristics in Toloa Station. The spatial distribution of Acropora corals is related to temperature and salinity variability.Keywords:Coral reefTidore waterTemperatureSalinity

Mapping and validation of spatial algorithm for monitoring turbidity of seagrass habitat using sentinel-2B imagery in Ternate Island Paembonan, Rustam Effendi; Bengen, Dietriech Geoffrey; Nurjaya, I Wayan; Agus, Syamsul Bahri; Natih, Nyoman Metta N; Subhan, Beginer; Santoso, Joko
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan 2025: Special Issue ICFM
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.0.0.46989

Turbidity is a parameter of the marine environment that greatly affects the condition of seagrass whose habitat is an intertidal zone in shallow sea waters. Seagrass is an important type of ecosystem that can be found in several coastal areas of Ternate Island. This study aims to analyze the turbidity conditions of seagrass habitat waters and apply a remote sensing algorithm using Sentinel 2B images. The turbidity research method was carried out by field measurements. The turbidity algorithm model used refers to references with mathematical equations (Rrs665-0.014)/0.013, and the development of a new algorithm as a comparison algorithm. Both algorithms were validated with field data to determine the level of accuracy using the Normalized Mean Absolute Error (NMAE) and determination coefficient (R2). The results were obtained from turbidity data with values ranging from 0.3 NTU to 1.5 NTU with an average value of 0.87 0.45 NTU. The Sentinel 2B image in this study was restored with geometric corrections, atmosphere, radiometric digital values, land masking, and sun glint. The turbidity algorithm model used obtained good accuracy in mapping and monitoring the turbidity of seagrass habitat waters on Ternate Island. The application of the turbidity algorithm used as a reference in this study has an NMAE value of 50.44 and R2 of 0.8822, while the newly discovered turbidity algorithm has an NMAE value of 29.38 and R2 of 0.8827.Keywords:remote sensingecosystemscoastalsedimentationNorth Maluku

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