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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Perikanan dan Kelautan Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Jurnal Ilmu dan Teknologi Kelautan Tropis ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Kelautan Tropis Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information Omni-Akuatika MAJALAH ILMIAH GLOBE Jurnal Pengelolaan Perikanan Tropis (Journal Of Tropical Fisheries Management) Albacore : Jurnal Penelitian Perikanan Laut Jurnal Perikanan Universitas Gadjah Mada Jurnal Kelautan Nasional Jurnal Segara Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) COJ (Coastal and Ocean Journal) Jurnal Riset Perikanan dan Kelautan Jurnal Pusat Inovasi Masyarakat Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan JURNAL SAINS dan INOVASI PERIKANAN Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Syamsul Bahri Agus, Syamsul Bahri
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia
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Comparing Vessel Monitoring System and Logbook Data for Skipjack Tuna Habitat Modeling in Eastern Indian Ocean Nurzeha, Ridwan; Gaol, Jonson Lumban; Agus, Syamsul Bahri; Alam, Al Fajar
Jurnal Perikanan Universitas Gadjah Mada Vol 27, No 2 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jfs.107568

Abstract

Skipjack tuna (Katsuwonus pelamis) is important to Indonesian fisheries, which lead to the need of accurate habitat prediction for sustainable management. This study assesses the spatiotemporal coverage and predictive utility of logbook and Vessel Monitoring System (VMS) data for skipjack habitat modeling using MaxEnt, with sea surface temperature (SST), chlorophyll-a, sea surface height (SSH), and salinity as predictors. Findings indicate VMS offers broader positional coverage but suffers from behavioral ambiguity, whereas logbook data, though spatially limited, provides higher accuracy due to direct catch reporting. Model evaluations showed comparable performance: the VMS-derived model achieved an AUC of 0.760 and an F1-score of 0.658, while the logbook-derived model yielded an AUC of 0.742 and an F1-score of 0.624. However, distribution analysis revealed the logbook-derived model performed better, with 87.5% of fishing events occurring in higher Habitat Suitability Index (HSI) areas compared to 73.1% for the VMS-derived model. These results suggest VMS data presents a viable alternative and comparative data source to logbook records for habitat modeling, offering opportunities to enhance fisheries management.
Mapping and validation of spatial algorithm for monitoring turbidity of seagrass habitat using sentinel-2B imagery in Ternate Island Rustam Effendi Paembonan; Dietriech Geoffrey Bengen; I Wayan Nurjaya; Syamsul Bahri Agus; Nyoman Metta N Natih; Beginer Subhan; Joko Santoso
Depik 2025: Special Issue ICMF
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 Rustam Effendi Paembonan; Dietriech Geoffrey Bengen; I Wayan Nurjaya; Syamsul Bahri Agus; Nyoman Metta N Natih; Beginer Subhan; Joko Santoso
Depik 2025: Special Issue ICMF
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
Distribution of Skipjack (Katsuwonus Pelamis) Fishing Areas using Purse Seine Fishing Equipment in WPP 573: Distribusi Daerah Penangkapan Ikan Cakalang (Katsuwonus pelamis) Menggunakan Alat Tangkap Purse Seine di WPP 573 Muhammad Nursan; Yonvitner Yonvitner; Syamsul Bahri Agus
Jurnal Pengelolaan Perikanan Tropis (Journal of Tropical Fisheries Management) Vol 6 No 1 (2022): Journal of Tropical Fisheries Management
Publisher : Departement of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jppt.v6i1.40999

Abstract

Estimation of fishing grounds is one solution to facilitate time efficiency in fishing activities. Efforts are made to predict the fishing ground (fishing ground) through an approach to oceanographic physical conditions. The dynamics of skipjack fishing areas are influenced by oceanographic parameters such as sea surface temperature and chlorophyll-a concentration. Skipjack tuna (Katsuwonus pelamis) is the main type of fish caught in Indonesian waters. This study aims to analyze the dynamics of oceanographic conditions in the form of sea surface temperature and chlorophyll-a distribution, the relationship between skipjack fishing season and the dynamics of sea surface temperature distribution and chlorophyll-a distribution in WPP 573 waters 2016-2020 and predict skipjack fishing season.The catch results show that the average SST value obtained from the fishing grounds is 29.44 oC, the minimum value is 26.76 oC and the maximum value is 32.32 oC, while for the concentration of chlorophyll-a the average value obtained is 0.19 mg/ m3, the minimum value is 0.08 mg/m3 and the maximum value is 0.95 mg/m3. The average temperature and chlorophyll-a 2016-2020 that coincided with the high catch were 28.5oC and 0.23 mg/m3. The results of the MaxEnt model show that the evaluation of the model is in a good category, the percentage of SST contribution is higher than Chlorophyll-a, the probability index value for skipjack fish is around 0.5-0.8 and the results of the validation of fishing data are mostly widespread according to the results of the 2016-2020 MaxEnt model. The results also show that the east season, namely June, July and August, is a good fishing season for skipjack tuna, whereas skipjack catches decline in the west season, December, January and February.
Sedimentation Profile in Coastal Water Jakarta Bay: Profil Sedimentasi Perairan Pesisir Teluk Jakarta Nandi Abdul Aziz; Yonvitner; Sigid Hariyadi; Syamsul Bahri Agus; I Wayan Nurjaya
Jurnal Pengelolaan Perikanan Tropis (Journal of Tropical Fisheries Management) Vol 6 No 1 (2022): Journal of Tropical Fisheries Management
Publisher : Departement of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jppt.v6i1.43452

Abstract

The waters of Jakarta Bay are one of the waters that are influenced by several fresh water flows that enter from the DKI Jakarta area and its surroundings. Sediment that enters the waters of Jakarta Bay is produced by the activities of the people who live in the Jakarta area and its surroundings. This study aims to analyze the sedimentation and distribution of suspended solids in the Jakarta Bay estuary using an observational approach and spatial analysis. This study uses the Inverse Distance Weighting (IDW) interpolation method. The dominant distribution of sediment in Jakarta Bay is sand with a size ranging from 0.25 to 0.125 mm. TSS (Total Suspended Solids) levels in 11 estuaries in Jakarta Bay ranged from 21 to 150 mg/L in first period and 11 ˗ 259 mg/L in second period. Sedimentation rates that occurred in 11 Jakarta Bay estuaries ranged from 11.12 g/cm2/day to 619.5 g/cm2/day in period one and 10.96 g/cm2/day to 1232.06 g/cm2/day in the second period which is located in Muara Cilincing in both periods. There is a suitable relationship between the TSS value and the sedimentation rate. Estuary TSS values and sedimentation rates are influenced by seasons and anthropogenic activities that occur in the estuary such as reclamation.
Co-Authors . Jihad Achmad Fahrudin Achmad Fahrudin Achmad Fahrudin ADHITYA NUGROHO Adi Imam Wahyudi Adinuha, Dinda Afifah Aditya Hikmat Nugraha Adriani Sunuddin Agnestesya Manuputty Agustin Rustam Aji Hermawan Alam, Al Fajar Aldi Agus Setiawan Andi Alamsyah Ani Rahmawati Arifin Taslim Ario Damar Armanda Aryani, Desy Ayub Sugara Beginer Subhan Bisma Nababan Budhi Agung Prasetyo Budhi Agung Prasetyo Budy Wiryawan Danang Aria Nugroho Devy, Nanda Riska Emma Suri Yanti Siregar Emy Mupid Erni Kusumawati FERY KURNIAWAN Forcep Rio Indaryanto Fredinan Yulianda Guido Roberto Jerun Parera Hartoni Hartoni I Wayan Nurjaya Ilham Marasabessy Ilham Marasabessy Indra Jaya Insaniah Rahimah James Parlindungan Panjaitan Joko Santoso Jonson Lumban Gaol Lucy Peter Liew Luky Adrianto Luky Adrianto Mahfud Palo Maulana Ishak Muhammad Iksan Badarudin Muhammad Iqra Prasetya Muhammad Nursan Muta Ali Khalifa Mutiara Alkayakni Harahap Nandi Abdul Aziz NEVIATY PUTRI ZAMANI Nico Wantona Prabowo Nimmi Zulbainarni Noya, Theo Imanuel Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah, Nunung Noer Nurzeha, Ridwan Nyoman Metta N Natih Prasetya, Muhammad Iqra Prastomo, Arul Tabah Putri, Rini Sahni Retno Asih RIDWAN AFFANDI Rosdyani Rachmi Rustam Effendi Paembonan Sam Wouthuyzen Setyo Budi Susilo Sigid Hariyadi Sri Pujiyati Sugeng Heri Suseno Surya Gentha Akmal Tarlan Subarno Tarlan Subarno Tarlan Subarno van Beek, Ruben Vincentius P Siregar Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wildan Nurussalam Wildan, Dudi Muhammad Yonvitner - Yulius Yulius Yuni Puji Hastuti Yusuf Arief Afandy Zulahamsyah Imran Zulfikar Afandy Zulfikar Afandy Zulhamsyah Imran