Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

3.249

P-Index

This Author published in this journals

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 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 Policy Brief Pertanian, Kelautan, dan Biosains Tropika 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

Author-ID : 1803830

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Physics Social Sciences Other

Published : 45 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

Seagrass Mapping Based on Satellite Image Worldview-2 by Using Depth Invariant Index Method Agnestesya Manuputty; Jonson Lumban Gaol; Syamsul Bahri Agus
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 21, No 1 (2016): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Seagrass has an important role in coastal areas, so it’s sustainability need to be maintained. One effort to preserve it is sustainable manner management of segrass based on the spatial data using remote sensing techniques. The aim of this study was to map seagrass ecosystems and to determining the accuracy level from classification results that obtained by the WorldView-2 images. This study was conducted in Karang Bongkok and Kotok Islands in August 2014 and March 2015. The satellite images data used on this study was WorldView-2 satellite images at the acquisition date of October 5, 2013. The method used to conduct image processing data is Depth Invariant Index (DII) using Support Vector Machine (SVM) classification. The result shows that seagrass mapping in Karang Bongkok and Kotok Islands using DII transformation has 19.5112 ha areas with 72% accuracy on Karang Bongkok Island and 2.5704 ha areas with of 83% accuracy on Kotok Island. Key words: Seagrass mapping, DII, SVM, Karang Bongkok, Kotok Island.

Coral Recruitment Spatial Distribution in its Relation With Coral Cover and Herbivorous Fish Abundance Within Conservation Area Zulfikar Afandy; Ario Damar; Syamsul Bahri Agus
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 24, No 2 (2019): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

The continuity of coral reef ecosystem highly depends on the new coral larvae recruitment process. Hence, the information regarding distribution, the abundance of corals, and its relation to other variables are highly important in that ecosystem management. Research was conducted at nine stations represented each zone at the conservation area of Kapoposang Marine Tourism Park (TWP Kapoposang). This research aims at seeking for spatial variations of the abundance of coral recruitment at three primary zones monitored (core zone, sustainable fishing zone and utilization zone) and we further identified its relations with spatial variation of herbivorous fishes abundance and coral cover’s condition at those zones. The coral recruitment observation employed transect quadrat sampling method with size of 1x1 meter and 10 times repetition at a similar depth, and the coral recruitment abundance measurement in natural habitat based on the amounts of juvenile corals has been defined as coral colony with size of ≤10 cm. Overall, this research has found 534 coral juveniles consisted of 19 genera and 7 families, and the average of juvenile coral density stood at 5.34±4.45 SE.m-2. The coral reef recruitment category at TWP Kapoposang could be classified as high and its abundance spatial distribution showed no significant differences between each zone, as well as not influenced by either herbivorous fish abundance variable or the percentage of live coral cover.

Analisis Penentuan Sebaran Konsentrasi Klorofil-A dan Produktivitas Primer di Perairan Teluk Saleh menggunakan Citra Satelit Landsat OLI 8 Erni Kusumawati; Setyo Budi Susilo; Syamsul Bahri Agus; Arifin Taslim; Yulius Yulius
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 9 No. 3 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.3.671-679

Chlorophyll-a is a parameter that can determine the primary productivity in the coastal and ocean. Chlorophyll-a is pigment in phytoplankton that used in photosynthesis. Chlorophyll-a concentration can be detected by ocean color remote sensing by using a mathematical model of satellite image data. The purpose of this research is to modify the algorithm of chlorophyll-a concentration of Landsat OLI 8 Satellite Image data and to show the spatial and temporal distribution of chlorophyll-a concentration. The determination of the algorithm is done using a simple linear regression analysis model between ratio of satellite image band data and value of chlorophyll-a in situ data. The algorithm result is C = 0.416 (green / blue) - 0.183 with R² = 0.785 where C is chlorophyll-a concentration (in mg/m3). Using this algorithm, the spatial distribution of surface concentration of chlorophyll-a can be drawn. Based on analysis of primary productivity that potential of fish resources in the Saleh Bay is 1 327 199.83 ton/years.

CORAL LARVAL DISPERSAL MODEL ON CONSERVATION AREA OF KAPOPOSANG MARINE TOURISM PARK Zulfikar Afandy; Ario Damar; Syamsul Bahri Agus; Budy Wiryawan
COJ (Coastal and Ocean Journal) Vol. 1 No. 2 (2017): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

The availability of information related to the pattern of connectivity between coral reef is one of the key in coral reef conservation management. The identification of pattern of connectivity in the form of dispersion dynamics of coral larvae is very important as the development of coral reef itself is highly depended upon the external input, which this input must be accordingly managed in order to support the continuity of coral larvae supply. This research’s objectives are including to create the coral larvae dispersal model of Marine Protected Area (MPA) of Kapoposang. For instance, the modelling of coral larvae dispersal had been conducted using the biophysics modelling which combined the biological and physics factor in order to obtain the recruitment scenario and the traces of larvae dispersal. This simulation used coral larvae object with the Pelagic Larval Duration (PLD) for 30 days, the larvae release was conducted during the full moon and during the west and east monsoon. The result of the larvae dispersion model has indicated that the coral larvae dispersion process was influenced by the currents and variation of monsoons. Based coral connectivity pattern on Kapoposang found site Gondongbali, Kapoposang2, Suranti and Pamanggangang as a source. Then other location as sink by received larvae from other site are Gondongbali, Kapoposang, Pamanggangang, Taka Karangkarangang, Taka Pallawangang and Taka Palekko. Keywords connectivity, coral reef, larva dispersal, marine protected area, twp kapoposang

OBIA AND BTM INTEGRATION FOR MAPPING HABITAT COMPLEXITY OF CORAL REEFS ON HARAPAN-KELAPA ISLANDS, KEPULAUAN SERIBU Tarlan Subarno; Vincentius Paulus Siregar; Syamsul Bahri Agus
COJ (Coastal and Ocean Journal) Vol. 2 No. 1 (2018): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

The habitat complexity is indirectly closely related to reef fish abundance. This study aims to map reefs habitat complexity by integrating object-based image analysis (OBIA) and habitat complexity analysis using benthic terrain modeler (BTM). The datasets used were SPOT-7 imagery and water depth derived from satellite imagery. The ground check was conducted to collect field data used as reference for classification and accuracy assessment of classification results. Classification of SPOT-7 imagery was performed using support vector machines (SVM) algorithm, by grouping shallow waters habitats into 4 classes on level 2 and 3 classes on level 3. Accuracy assessment was done by confusion matrix and resulting overall accuracy (OA) 83.55% for level 2 and 79.66% for level 3. The habitat complexity was analyzed using rugosity analysis method (Arc-Chord Ratio) from benthic terrain modeler (BTM) to obtain rugosity index in reefs area. The substrate covers were obtained from OBIA and complexity of habitats were obtained from BTM, then the overlay result shows varying rugosity index on the reef area in Harapan-Kelapa Islands. Keywords: coral reefs, OBIA, habitat complexity, rugosity

PENERAPAN ALGORITMA SPECTRAL ANGLE MAPPER (SAM) UNTUK KLASIFIKASI LAMUN MENGGUNAKAN CITRA SATELIT WORLDVIEW-2 Nunung Noer Aziizah; Vincentius Paulus Siregar; Syamsul Bahri Agus
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 13 No. 2 Desember 2016
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Remote sensing technology has been developed for monitoring and identification of coastal environment and resources, such as seagrasses. In Indonesia, particularly seagrass mapping spectrometer utilizing spectral library has not been done. This study aimed to determine the spectral signature based in situ measurement and image analysis, analyze the implementation of the algorithm Spectral Angle Mapper (SAM) and test accuracy in mapping seagrass to species level based on spectral libraries. Research conducted in seagrass Tunda Island, Banten. Satellite imagery used is WorldView-2 and the seagrass spectral reflectance was measured using a spectrometer USB4000. SAM classification algorithm utilizing spectral libraries and classify objects in a single pixel can be homogeneous. Classification results in the form of class Enhalus acoroides, Cymodocea rotundata, Thalassia hemprichii, and Halophila ovalis. The resulting accuracy of 35.6%. The area of each class is 0.8 hectares for the class Cymodocea rotundata, 2.79 hectares for Enhalus acoroides, class Thalassia hemprichii 3.7 hectares, and 3.5 hectares for Halophila ovalis. Classification of seagrass to species level yet produce good accuracy. Seagrass area with a variety of species and number of channels on a multispectral satellite image is assumed to be the cause of the low value of accuracy. AbstrakPemanfaatan teknologi satelit penginderaan jauh (remote sensing) sangat berkembang untuk identifikasi dan memantau sumberdaya alam wilayah pesisir, seperti lamun. Di Indonesia khususnya pemetaan lamun memanfaatkan pustaka spektral dari spektrometer belum banyak dilakukan. Penelitian ini bertujuan untuk mengetahui besaran spektral lamun berdasarkan pengukuran in situ dan analisis citra satelit, memetakan lamun hingga tingkat spesies berdasarkan pustaka spektral pengukuran in situ dengan penerapan algoritma SAM dan menguji tingkat akurasinya. Penelitian dilaksanakan di ekosistem lamun Pulau Tunda, Banten. Citra satelit yang digunakan adalah WorldView-2 dan reflektansi spektral lamun diukur menggunakan spektrometer USB4000. Algoritma klasifikasi SAM memanfaatkan pustaka spektral dan mengkelaskan obyek dalam satu piksel secara homogen. Hasil klasifikasi berupa kelas lamun Enhalus acoroides, Cymodocea rotundata, Thalassia Hemprichi, dan Halophila ovalis. Akurasi yang dihasilkan sebesar 35.6 %. Luas area masing-masing kelas adalah 0.8 Ha untuk kelas Cymodocea rotundata, 2.79 Ha untuk kelas Enhalus acoroides, 3,7 Ha kelas Thalassia hemprichii, dan 3.5 Ha untuk Halophila ovalis. Klasifikasi lamun hingga tingkat spesies belum menghasilkan akurasi yang baik. Area lamun dengan jenis yang beragam dan jumlah saluran pada citra satelit multispektral diasumsikan menjadi penyebab rendahnya nilai akurasi.

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 (IJReSES) Vol 14, No 1 (2017)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

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.

Analisa Spasial Luas Tutupan Lamun di Pulau Tunda Serang, Banten Nunung Noer Aziizah; Vincentius Paulus Siregar; Syamsul Bahri Agus
Journal Omni-Akuatika Vol 12, No 1 (2016): Omni-Akuatika May
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Spatial Distribution of Fish Abundance in Sunda Strait: Distribusi Spasial Kelimpahan Sumberdaya Ikan di Perairan Selat Sunda Surya Gentha Akmal; Achmad Fahrudin; Syamsul Bahri Agus
Tropical Fisheries Management Journal Vol 1 No 1 (2017): Jurnal Pengelolaan Perikanan Tropis
Publisher : Departement of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, IPB University

Sistem Informasi Geografis (SIG) merupakan salah satu sistem informasi yang sedang berkembang pesat saat ini dan banyak dimanfaatkan untuk analisis dan pemetaan sumberdaya alam, termasuk di dalamnya melakukan penyajian data potensi perikanan berbasis data spasial. Tujuan penelitian ini, yaitu menyajikan analisis hasil survei akustik dalam pendugaan potensi perikanan dengan menggunakan Sistem Informasi Geografis. Pengambilan data di lapangan dilakukan pada bulan Mei hingga Agustus 2013. Pada Bulan Mei, nilai fluktuasi kelimpahan ikan terbesar terdapat pada kedalaman 64–84 m diikuti oleh kedalaman 4–24 m, sedangkan kelimpahan ikan dengan nilai terkecil terdapat pada kedalaman 44–64 m. Fluktuasi kelimpahan ikan pada bulan Juni menggambar-kan rata-rata kelimpahan terbesar pada kedalaman 4–24 m, kemudian nilai rata-rata kelimpahan terkecil terdapat pada kedalaman 64–84 m. kemudian, fluktuasi kelimpahan ikan pada bulan Juli terlihat bahwa kelimpahan terbesar berada pada kedalaman 4–24 m sebesar 19167 ikan/1000m3. Ratarata sebaran kelimpahan ikan bulan Agustus, kelimpahan rata-rata sebesar 3114 ikan/1000 m3 dengan kategori melimpah. Hampir seluruh wilayah yang di survei dengan metode akustik cocok dijadikan sebagai wilayah penangkapan.

PENGELOLAAN BERKELANJUTAN PERIKANAN DEMERSAL DI KAWASAN PULAU NUSA MANU DAN NUSA LEUN MALUKU TENGAH Ilham Marasabessy; Achmad Fahrudin; Zulhamsyah Imran; Syamsul Bahri Agus
ALBACORE Jurnal Penelitian Perikanan Laut Vol. 2 No. 1 (2018): Albacore
Publisher : Departemen PSP IPB

Usaha penangkapan ikan demersal di Seram Utara Maluku Tengah bergantung pada kemudahan bersama (open access). Para nelayan di Seram Utara mempunyai hak yang sama terhadap sumberdaya ikan karena tangkapan berpindah dari satu tempat ke tempat lain, dengan resiko yang harus dihadapi. Kegiatan penangkapan ikan demersal memerlukan alat tangkap yang disesuaikan dengan lokasi tangkap dan jenis ikan yang ingin diperoleh. Pulau Nusa Manu dan Pulau Nusa Leun masuk dalam kategori pulau kecil dengan luas sekitar 0,31 km2 dan 0,73 km2. Kawasan ini memiliki potensi sumberdaya ikan demersal yang besar dan sejak lama dimanfaatkan oleh masyarakat di sekitar kawasan kedua pulau. Penelitian dilakukan dari bulan September sampai Desember 2016. Dengan menggunakan metode evaluatif deskriptif untuk mendapatkan data primer, data bentang alam pulau diperoleh dari citra Arcgis Imagery 2016, sedangkan penentuan koordinat fishing ground dengan melakukan tracking penangkapan ikan. Kemudian data diproses menggunakan analisis spasial dengan aplikasi Sistem Informasi Geografis (ArcGIS) untuk menentukan fishing ground potensial. Laju eksploitasi ikan demersal pada kawasan kedua pulau mulai berada dalam kondisi tekanan penangkapan dengan nilai 52-54% sehingga perlu dilakukan perbaikan untuk meminimalisir dampak penurunan sumberdaya ikan demersal yang lebih besar.Kata kunci: Daya dukung, perikanan demersal, pulau kecil dan pengelolaan berkelanjutan.

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 Akmal, Surya Genta 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 Budiman, Mukhammad Asyief Khasan Budy Wiryawan Danang Aria Nugroho Devy, Nanda Riska Dietriech Geoffrey Bengen 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 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 Nursan, Muhammad Nurzeha, Ridwan Nyoman M N Natih P. Perdinan Prasetya, Muhammad Iqra Prastomo, Arul Tabah Putri, Rini Sahni Retno Asih RIDWAN AFFANDI Rosdyani Rachmi Rudiyanto, Bambang Yudho Rustam Effendi Paembonan, Rustam Effendi Sahibuddin, Muhammad Qustam 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

Title

Found 45 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 45 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 45 Documents
Search