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All Journal Jurnal Teknologi Perikanan dan Kelautan Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Jurnal Ilmu dan Teknologi Kelautan Tropis Journal of Marine and Aquatic Sciences ILMU KELAUTAN: Indonesian Journal of Marine Sciences BIOTROPIA - The Southeast Asian Journal of Tropical Biology Forum Geografi Jurnal Kelautan Tropis Journal of Applied Geospatial Information JURNAL ENGGANO Omni-Akuatika JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE Sumatra Journal of Disaster, Geography and Geography Education Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan Jurnal Penelitian Perikanan Indonesia 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 Manusia dan Lingkungan Journal of Fisheries & Marine Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES) Biodiversitas Journal of Biological Diversity
Vincentius P Siregar
Department Of Marine Science And Technology, Faculty Of Fisheries And Marine Science, Institut Pertanian Bogor. Jl. Agatis, Kampus IPB Dramaga, Bogor 16680, West Java, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Veterinary Other

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COASTAL UPWELLING UNDER THE INFLUENCE OF WESTERLY WIND BURST IN THE NORTH OF PAPUA CONTINENT, WESTERN PACIFIC Harold J.D.Waas; Vincentius P. Siregar; Indra Jaya; Jonson Lumban Gaol
International Journal of Remote Sensing and Earth Sciences Vol. 9 No. 2 (2012)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1837

Abstract

Coastal upwelling play an important role in biological productivity and the carbon cycle in the ocean. This research aimed to examine the phenomenon of coastal upwelling that occur in the coastal waters north of Papua continent under the influence of Westerly Wind Burst(WWB) prior to the development of El Nino in the Pacific. Data consisted of sea surface temperature, vertical oceanic temperature, ocean color satellite image, wind stress and vector wind speed image, sea surface high, and Nino 3.4 index. Coastal upwelling events in the northern coastal waters of Papua continent occurred in response to westerly winds and westerly wind burst (WWBs) during December to March characterizing by low sea surface temperature (SST) (25 - 28ï‚°C), negative sea surface high deviation and phytoplankton blooming, except during pre-development of the El Nino 2006/2007 where weak upwelling followed by positive sea surface high deviation. Strong coastal upwelling occurred during two WWBs in December and March1996/1997 with maximum wind speed in March produced a strong El Nino 1997/1998. Upwelling generally occurred along coastal waters of Jayapura to Papua New Guinea with more intensive in coastal waters north of Papua New Guinea indicated by Ekman transport and Ekman layer depth maximum.
IN-SITU MEASUREMENT OF DIFFUSE ATTENUATION COEFFICIENT AND ITS RELATIONSHIP WITH WATER CONSTITUENT AND DEPTH ESTIMATION OF SHALLOW WATERS BY REMOTE SENSING TECHNIQUE Budhi Agung Prasetyo; Vincentius Paulus Siregar; Syamsul Bahri Agus; Wikanti Asriningrum
International Journal of Remote Sensing and Earth Sciences Vol. 14 No. 1 (2017)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2017.v14.a2682

Abstract

Diffuse attenuation coefficient, Kd(λ), has an empirical relationship with water depth, thus potentially to be used to estimate the depth of the water based on the light penetration in the water column. The aim of this research is to assess the relationship of diffuse attenuation coefficient with the water constituent and its relationship to estimate the depth of shallow waters of Air Island, Panggang Island and Karang Lebar lagoons and to compare the result of depth estimation from Kd model and derived from Landsat 8 imagery. The measurement of Kd(λ) was carried out using hyperspectral spectroradiometer TriOS-RAMSES with range 320 – 950 nm. The relationship between measurement Kd(λ) on study site with the water constituent was the occurrence of absorption by chlorophyll-a concentration at the blue and green spectral wavelength. Depth estimation using band ratio from Kd(λ) occurred at 442,96 nm and 654,59 nm, which had better relationship with the depth from in-situ measurement compared to the estimation based on Landsat 8 band ratio. Depth estimated based on Kd(λ) ratio and in-situ measurement are not significantly different statistically. Depth estimated based on Kd(λ) ratio and in-situ measurement are not significantly different statistically. However, depth estimation based on Kd(λ) ratio was inconsistent due to the bottom albedo reflection because the Kd(λ) measurement was carried out in shallow waters. Estimation of water depth based on Kd(λ) ratio had better results compared to the Landsat 8 band ratio.
PRIMARY PRODUCTIVITY OF JAKARTA BAY IN A CHANGING ENVIRONMENT: CLIMATE CHANGE AND ANTHROPOGENIC IMPACTS Vincentius Siregar; Alan F. Koropitan
BIOTROPIA Vol. 20 No. 2 (2013): BIOTROPIA Vol. 20 No. 2 December 2013
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1436.698 KB) | DOI: 10.11598/btb.2013.20.2.380

Abstract

Jakarta Bay receives direct impact from the rapid development of infrastructure and landbased industries which contributed to the increase in pollution and nutrient, and at the same time facing climate change. This condition influenced growth of chlorophyll- and primary production. To investigate changes of primary production in Jakarta Bay due to anthropogenic and climate change impacts, a field measurement, laboratory experiment and collection of several data sets have been conducted. The study showed that impact of anthropogenic, particularly sediment load from the land to primary production is important. The intensification of primary production occurs in the middle region of Jakarta Bay, while the chlorophyllconcentration is high in the river mouth area. The anthropogenic impact is indicated by the land use change that has increased to 73% during the last ten years. The laboratory experiments by injecting CO in the waters, as a global warming simulation, have shown a decrease in chlorophyll- and primary production. Therefore, the combination of anthropogenic and climate changemay have a double impact on the Jakarta Bay ecosystem.Key words: Primary production, Jakarta Bay, anthropogenic, climate change, impact
YELLOWFIN TUNA (Thunnus albacares) FISHERIES SUSTAINABILITY: A WEIGHT-LENGTH ANALYSIS IN THE WEST SUMATERA WATERS: KEBERLANJUTAN PERIKANAN TUNA SIRIP KUNING (Thunnus albacares): ANALISIS PANJANG BERAT DI PERAIRAN SUMATERA BARAT Emma Suri Yanti Siregar; Domu Simbolon; Ronny Irawan Wahju; Irfan Yulianto; Vincentius P. Siregar
Jurnal Teknologi Perikanan dan Kelautan Vol. 16 No. 3 (2025): AUGUST 2025
Publisher : Fakultas Perikanan dan Ilmu Kelautan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24319/jtpk.16.282-293

Abstract

Ikan tuna sirip kuning adalah komoditas perikanan bernilai tinggi dan sumber utama mata pencaharian nelayan di Sumatra Barat. Namun, intensifikasi penangkapan sering mengabaikan selektivitas alat tangkap, sehingga ikan belum layak tangkap turut tertangkap, mengganggu regenerasi populasi, menurunkan biomassa, dan meningkatkan risiko overfishing. Informasi ukuran layak tangkap penting untuk mendukung keberlanjutan perikanan. Penelitian ini bertujuan untuk mengetahui distribusi ukuran panjang ikan, pola pertumbuhan ikan dan menentukan tingkat kelayaktangkapan ikan tuna (Thunnus albacares). Data distribusi ikan, seperti panjang dan berat ikan dikumpulkan melalui pengukuran langsung terhadap hasil tangkapan nelayan. Distribusi ukuran dan berat ikan dianalisis secara deskriptif, sedangkan pola pertumbuhan ikan ditentukan menggunakan persamaan W=aLb. Jumlah ikan tuna yang berhasil diukur selama periode Juni - Agustus 2020 mencapai 398 ekor. Ikan yang paling dominan tertangkap berkisar antara 135-144 cm dengan berat 44-60 kg. Analisis distribusi ikan menghasilkan persamaan regresi y = 0,00005x2,7787, dengan nilai R² = 0,9575 dan nilai b = 2,4969. Nilai b yang lebih kecil dari 3 mengindikasikan pola pertumbuhan alometrik negatif, di mana pertumbuhan panjang ikan lebih dominan dibandingkan pertumbuhan beratnya. Hasil penelitian ini menunjukkan bahwa 81% ikan memenuhi kriteria layak tangkap, sedangkan 19% lainnya tergolong tidak layak tangkap. Penelitian ini memberikan kontribusi penting dalam mendukung pengelolaan perikanan tuna sirip kuning yang berkelanjutan berbasis ukuran layak tangkap.
Object based classification of benthic habitat using Sentinel 2 imagery by applying with support vector machine and random forest algorithms in shallow waters of Kepulauan Seribu, Indonesia Hartoni Hartoni; Vincentius P. Siregar; Sam Wouthuyzen; Syamsul Bahri Agus
Biodiversitas Journal of Biological Diversity Vol. 23 No. 1 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230155

Abstract

Abstract. Hartoni, Siregar VP, Wouthuyzen S, Agus SB. 2021. Object based classification of benthic habitat using Sentinel 2 imagery by applying with support vector machine and random forest algorithms in shallow waters of Kepulauan Seribu. Biodiversitas 23: 514-520. Benthic habitats have very high complexity and are home to many types of aquatic organisms. Benthic habitats have various functions, including habitat for flora and fauna, sediment traps, nursery areas, and foraging areas for aquatic fauna that are susceptible to damage due to human activities or natural factors. Therefore, more accurate spatial information is needed. The purpose of this study was to examine the ability of object-based classification techniques for mapping shallow waters benthic habitats using Sentinel 2A imagery. The two classification algorithms used are support vector machine (SVM) and random forest (RF). The input image layer (IIL) used for classification is the natural color band (Band 432). The results showed that the SVM and RF classification algorithms could classify eight classes of benthic habitats. The overall accuracy (OA) of the SVM algorithm is 65%, while the RF accuracy is 67%, with kappa values of 0.59 and 0.60, respectively. The significant test applied to Sentinel 2 images with SVM and RF algorithms for benthic habitats has a Z test value of-0.41. These results indicate that the classification results between the SVM and RF algorithms are not significantly different.
Geomorphological classification of benthic structures of Kaledupa Atoll Wakatobi National Park, Indonesia Alim Setiawan; Vincentius P. Siregar; Setyo Budi Susilo; Ani Mardiastuti; Syamsul Bahri Agus
Biodiversitas Journal of Biological Diversity Vol. 23 No. 7 (2022)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d230755

Abstract

Abstract. Setiawan A, Siregar VP, Susilo SB, Mardiastuti A, Agus SB. 2022. Geomorphological classification of benthic structures of Kaledupa Atoll Wakatobi National Park, Indonesia. Biodiversitas 23: 3784-3792. Geomorphological mapping is one solution to understanding the complexity of the seabed pattern. This research aims to map the benthic structure of Kaledupa Atoll using the Remote Sensing and Geographic Information System with the Benthic Terrain Modeler (BTM) extension. The data used is in situ bathymetry data using Mapsounder 585 and Sentinel 2A satellite image data downloaded for free. BTM is a technique for examining benthic habitat and shallow water geomorphology. BTM was used to analyze integrated depth data to determine the bathymetric position index (BPI), slope, and classification of reef geomorphological structures. Thirteen structural classes of habitat geomorphology resulting from this research are Flat plain with the largest area of ??17142.35 ha, and the class with the smallest area is Crevices class, with narrow gullies rock outcrops 1.64 ha. While the other classes in a row are Broad slope 9104.53 ha; Flat ridge tops, upper slopes 4262.67 ha; Current scoured depressions on a slope 3420.98 ha; Narrow depressions at the base of rock outcrops 2348.20 ha; Rock outcrop highs, narrow ridges 1792.45 ha; Local ridges, boulders, pinnacles on slopes 879.29 ha; Scarp, cliff or small local depressions on a slope 703.02 ha; Local ridges, boulders, pinnacles on broad flat 490.17 ha; Local depressions, current scoured on flat 416.39 ha; Local ridges, boulders, pinnacles on broad depressions 16.63 ha; and Steep slopes 2.88 ha.
Mapping Shallow Water Benthic Habitats Using High Resolution Multispectral UAV Data: A Case Study of Panggang Island Devi Aliyah Sari; Vincentius P. Siregar; Syamsul Bahri Agus
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol 18 No 1 (2026): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.18.1.70650

Abstract

The use of Unmanned Aerial Vehicles (UAVs) has become increasingly important for high-resolution remote sensing applications, particularly for mapping coastal and shallow-water environments. Benthic habitats in shallow marine environments include seagrass meadows, macroalgae, live coral reefs, and degraded coral communities associated with sandy, muddy, and coral rubble substrates. This study mapped benthic habitats on Panggang Island, Indonesia, using multispectral imagery acquired by a DJI Phantom 4 Multispectral UAV with a spatial resolution of 6 cm per pixel. Seven benthic habitat classes were identified; sand , seagrass, live coral, dead coral with algae, coral with algae, rubble, and macroalgae. Habitat classification was performed using a pixel-based Support Vector Machine (SVM) algorithm. Classification accuracy was evaluated using a confusion matrix, yielding an overall accuracy of 87% and a Kappa coefficient of 0.84 The results demonstrate that integrating high-resolution UAV multispectral imagery with pixel-based SVM classification provides an effective approach for detailed benthic habitat mapping in small-island shallow-water environments.
Co-Authors . Rosmasita Ade Ayu Mustika Adriani Sunuddin Afwan Syaugy Agus, Syamsul B. Alan Frendy Koropitan Alfiqi Maulana Alim Setiawan Alim Setiawan Amelia Suryanita Amran, Muhammad Anshar Andi Alamsyah Rivai Andriani Sunuddin Anggi Tiarasani Ani Mardiastuti Antonius Bambang Wijanarto Ari Anggoro Ari Anggoro Arip Rahman Arip Rahman Aryo Hanggono Ayub Sugara Baba Barus Bisman Nababan Budhi Agung Prasetyo Budhi Agung Prasetyo Dedi Soedharma DEDI SOEDHARMA Devi Aliyah Sari Dietrich G. Bengen Djisman Manurung Doddy M. Yuwono, Doddy M. Domu Simbolon Ega Putra Emma Suri Yanti Siregar Emma Suri Yanti Siregar Esty Kurniawati ESTY KURNIAWATI Ety Parwati Faizal Kasim Fanny Meliani Fredinan Yulianda Gatot H. Pramono, Gatot H. Guido Roberto Jerun Parera Harold J.D. Waas Harold J.D.Waas Hartoni Hartoni Hartoni Hartoni Henry Munandar Manik Herianto Heru Arafat Hestirianoto, Totok Hidayat Pawitan Hiroki Yasuma I Wayan Nurjaya Ibnu Sofian, Ibnu indah kartika Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Insaniah Rahimah Irfan Yulianto Iwan E. Setyawan, Iwan E. James Parlindungan Panjaitan Jonniere, Romie Jonson Lumban Gaol Kasim, Faizal Kaulina Silvitiani Khairul Amri Krisna Rendi Awalludin LILIK BUDIPRASETYO Mennofatria Boer Mira Harimurti Miswadi Miswadi Muhammad Banda Selamat Muhammad Banda Selamat Muhammad Banda Selamat Muhammad Iqra Prasetya Muhammad Rizki Nandika Muhammad Siddiq Sangadji Muhammad Sudibjo Mulia Purba Mutiara Alkayakni Harahap Nadia Shalehah Nani Hendiarti Nico Wantona Prabowo Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah, Nunung Noer Nur Audina Nurjannah Nurdin Nurul Khakhim Nurul Khakhim Prasetya, Muhammad Iqra Risti Endriani Arhatin Riza Aitiando Pasaribu Romie Jhonnerie Romy Ketjulan, Romy Ronny Irawan Wahju Rosmasita, Rosmasita Sabilah, Anisa Aulia Sakka Sakka Sam Wouthuyzen Sam Wouthuyzen Sam Wouthuyzen Sangadji, Muhammad Siddiq Setyo Budi Susilo Susilo, Setyo B. Syamsul Agus Syamsul B. Agus Syamsul B. Agus Syamsul B. Agus Syamsul B. Agus Syamsul Bahri Agus, Syamsul Bahri Tarlan Subarno Tarlan Subarno, Tarlan Wahidin, Nurhalis Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wildan Tino Zulhamsyah Imran