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All Journal Jurnal Sumberdaya Akuatik Indopasifik Jurnal Ilmu Kelautan Kepulauan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan
Rustam Effendi Paembonan, Rustam Effendi
Program Studi Ilmu Kelautan, Fakultas Perikanan dan Ilmu Kelautan, Universitas Khairun
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Engineering Environmental Science Immunology & microbiology

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Dinamika spasial-temporal perubahan garis pantai Pulau Ternate dengan pemanfaatan citra resolusi tinggi google earth Paembonan, Rustam Effendi; Najamuddin, Najamuddin; Tahir, Irmalita; Akbar, Nebuchadnezzar; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Wibowo, Eko S; Baddu, S; Mutmainnah, Mutmainnah
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 2 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i2.9585

Abstract

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

Abstract

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
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

Abstract

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
Keanekaragaman ikan karang di gugusan pulau kecil Tidore. Indonesia Ismail, Firdaut; Najamuddin, Najamuddin; Paembonan, Rustam Effendi; Tahir, Irmalita; Siolimbona, Abdul Ajiz; Akbar, Nebuchadnezzar
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 1 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i1.8811

Abstract

Dinamika spasial-temporal perubahan garis pantai Pulau Ternate dengan pemanfaatan citra resolusi tinggi google earth Paembonan, Rustam Effendi; Najamuddin, Najamuddin; Tahir, Irmalita; Akbar, Nebuchadnezzar; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Wibowo, Eko S; Baddu, S; Mutmainnah, Mutmainnah
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 2 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i2.9585

Abstract

Ekologi dan Dimensi Pengelolaan Keberlanjutan Mangrove (Studi Kasus Lokasi Ekowisata Guraping, Kota Tidore Kepulauan, Maluku Utara) Paembonan, Rustam Effendi; Akbar, Nebuchadnezzar; Ibrahim, Abjan; Tahir, Irmalita; Baksir, Abdurrachman; Marus, Ikbal; Najamuddin, Najamuddin; Ismail, Firdaut; Wibowo, Eko S; Siolimbona, Abdul Ajiz; Harahap, Zulhan Arifin; Mutmainnah, Mutmainnah; Angkotasan, Abdul Motalib; Zamani, Neviaty P; Arafat, Dondy; Subhan, Beginer; Natih, Nyoman MN; Rahman, Rahman; Rahimah, Insaniah; Harahap, Zulham Apandy
Jurnal Sumberdaya Akuatik Indopasifik Vol 8 No 4 (2024): November
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46252/jsai-fpik-unipa.2024.Vol.8.No.4.412

Abstract

The mangrove ecosystem is a potential coastal and marine area that has a very important resource function. The mangrove ecosystem must be managed sustainably so that it can provide optimal benefits, especially the mangrove ecosystem in Guraping Village which has been designated as an ecotourism area. The aim of this research is to analyze the ecological condition of the mangrove ecosystem and analyze the dimensions of sustainable management of the mangrove ecosystem in Guraping Village. The method used in this research line transect method with a 10x10 meter quadrant to determine ecological conditions. Interviews were conducted with key respondents from stakeholders and the dimensions of sustainable management were analyzed using Rapfish. Measurement of environmental parameters directly on site. The results obtained from this research can determine the ecological condition of mangroves at the research location which still have good status based on the number of species, species density, species cover, diversity index, mangrove canopy cover data. The calculation of the results of the assessment of the dimensions of mangrove sustainability management, which consists of ecological dimensions, economic dimensions, socio-cultural dimensions, legal, institutional and policy dimensions and technological and infrastructure dimensions, is classified as a less accountable level category.
Co-Authors Abdul Motalib Angkotasan Abdurrachman Baksir, Abdurrachman Abjan Ibrahim, Abjan Baddu, S Beginer Subhan Dietriech Geoffrey Bengen Dondy Arafat Harahap, Zulhan Arifin I Wayan Nurjaya Ikbal Marus, Ikbal Irmalita Tahir, Irmalita Ismail, Firdaut Joko Santoso Mutmainnah Mutmainnah Najamuddin Najamuddin, Najamuddin Nebuchadnezzar Akbar NEVIATY PUTRI ZAMANI Nyoman M N Natih Rahimah, Insaniah Rahman Rahman Siolimbona, Abdul Ajiz Syamsul Bahri Agus, Syamsul Bahri Wibowo, Eko S Zulham Apandy Harahap