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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 Maspari Journal BULETIN OSEANOGRAFI MARINA Waste Technology Maspari Journal Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Penelitian dan Evaluasi pendidikan Jurnal Ilmu Kelautan Spermonde Aceh Journal of Animal Science Panrita Abdi - Jurnal Pengabdian pada Masyarakat Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information Jurnal Sumberdaya Akuatik Indopasifik JURNAL INTEGRASI Jurnal Penelitian Perikanan Indonesia Jurnal Kelautan Nasional Jurnal Segara PELAGICUS: Jurnal IPTEK Terapan Perikanan dan Kelautan ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Jurnal Rekayasa elektrika Journal of Fisheries & Marine Jurnal Perikanan

Sri Pujiyati

Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia

Author-ID : 348509

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Physics Other

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The Value of Acoustic Backscattering in Determining the Integration Thickness of the Seabed in Yos Sudarso Bay Papua Sri Pujiyati; Nyoman MN Natih; Baigo Hamuna; Lisiard Dimara
Journal of Applied Geospatial Information Vol 3 No 2 (2019): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

A considerable amount of research has already been conducted into the nature of water on the ocean floor/seabed, ranging from mapping of the seabed, volume backscattering strength (SV) of acoustics on the seabed, classification of the seabed, besides the relationship between the ocean floor and the biota above it with which it interacts. The Yos Sudarso Bay, Jayapura Papua, is a bay with a seabed which faces the floor of the Pacific Ocean and also forms the estuary of the river Anafre which contributes particles that settle on the seabed. This research aimed to collect data in order to understand differences in the integration of water thickness at 0.2 m and 0.5 m besides differences in the types of the substrate based on the results of SV. Data was collected using a single beam echosounder. The acoustic data were collected at 11 stations. The result is interval of value of SV ranged from -37.81dB to -15.62 dB (at the integration of 0.2 m) up to -15.07dB (at the integration of 0.5 m). The value of SV from the gravel was higher compared to the values found in the coarse sand, fine sand, mud mixed with sand or the pure mud. The lowest value of SV was found in the mud substrate. Results showed that thickness integration yielded different results when tested at 0.2 m and 0.5 m on the seabed. Furthermore, it was found that different types of substrate.

Distribution of Fish Target Strength in Malang Rapat Seawater of Bintan Island, Kepulauan Riau Province Andi Yaodi Nurani Yamin; Henry M Manik; Sri Pujiyati
Journal of Applied Geospatial Information Vol 4 No 1 (2020): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Malang Rapat is an area located in east Bintan Island. As a part of coastal communities, fisheries were the primary sector for public revenue in Malang Rapat. A qualified method is needed to determine the abundance and distribution of fish were required. Hydroacoustic technology is one method to solve this problem. This research aimed was to determine the value of fish target strength and to determine the pattern of fish distribution behavior in Malang Rapat, Kepulauan Riau Province, on September 23 and 24, 2016, using scientific echosounder Simrad EK15. The result indicated that fish target strength in Malang Rapat was -60 dB to -42 dB. This value was useful to estimate the length of fish ranged from 3 cm to 31 cm. The highest mean target strength based on depth was -48 dB at 10 m in the daytime and -52 dB at 3 m in the nighttime. The abundance of fish was found at night, precisely 3 meters from the surface of the water. The highest frequency appearance target strength range from -60 dB to -58 dB with 3.94 to 4.95 cm estimated fish length.

Measurement and Analysis of Acoustic Backscatter Value for Bottom Classification of waters Tidung Island M Hasbi Sidqi Alajuri; Henry M Manik; Sri Pujiyati
Journal of Applied Geospatial Information Vol 5 No 2 (2021): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v5i2.3511

Sediment in a water has an important role for organisms, namely as a habitat, a place for foraging for food, and a place for spawning. These sediment can affect the composition of organisms in the water. The purpose of this study is to calculate the value of acoustic backscatter for the classification of the bottom of the water and to see the effect of sediment grain size on the backscatter value obtained from a single beam acoustic instrument. Data collection was carried out from 10 to 12 June 2021 in the water of Tidung Island, Seribu Islands, using the SIMRAD EK-15 single beam, single frequency 200 kHz instrument. Sediment sampling was carried out at 13 stations. The results showed that the waters of Tidung Island were dominated by muddy substrate which was classified based on the Surface Backscattering Strength (SS) value. Meanwhile, the grain size of the sediment affects the SVb value, where the large the grain size of the bottom sediment, the SVb value will be higher. The higher SVb value the SS value will be higher. Keywords: Bottom Classification, Acoustic Backscatter, Tidung Island

Combining Two Classification Methods for Predicting Jakarta Bay Seabed Type Using Multibeam Echosounder Data Steven Solikin; Angga Dwinovantyo; Henry Munandar Manik; Sri Pujiyati; Susilohadi Susilohadi
Journal of Applied Geospatial Information Vol 7 No 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.6363

Classification of seabed types from multibeam echosounder data using machine learning techniques has been widely used in recent decades, such as Random Forest (RF), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Nearest Neighbor (NN). This study combines the two most frequently used machine learning techniques to classify and map the seabed sediment types from multibeam echosounder data. The classification model developed in this study is a combination of two machine learning classification techniques, namely Support Vector Machine (SVM) and K-Nearest Neighbor (K-NN). This classification technique is called SV-KNN. Simply, SV-KNN adopts these two techniques to carry out the classification process. The SV-KNN technique begins with determining test data by specifying support vectors and hyperplanes, as was done on the SVM method, and executes the classification process using the K-NN. Clay, fine silt, medium silt, coarse silt, and fine sand are the five main classes produced by SVKNN. The SV-KNN method has an overall accuracy value of 87.38% and a Kappa coefficient of 0.3093.

Co-Authors Aisyah Aisyah Alajuri, M Hasbi Sidqi Ali Suman Anang Prasetia Adi Andi Yaodi Nurani Yamin Angga Dwinovantyo Ariel Hananya Asep Ma'mun Asep Priatna Augy Syahailatua Ayi Rahmat Baigo Hamuna Baigo Hamuna Baigo Hamuna Baigo Hamuna Baigo Hamuna Bambang Retnoaji Bonar P. Pasaribu Bryan Felix Simanjuntak Budhi Agung Prasetyo Dea Fauzia Lestari, Dea Fauzia Djisman Manurung Domey Moniharapon Dwi P. I. Mahdi Endang Sunarwati Srimariana Erfind Nurdin Erwin Maulana Esa Fajar Hidayat Fachri Ali Badihi Freddy Supriyadi Freddy Supriyadi Hendi Santoso Henry M. Manik Manik Henry Munandar Manik Hestirianoto, Totok Hidayanto Akbar Husnul Kausarian I Made Candiasa Indra Jaya Indra Jaya Indra Jaya Indra Jaya Kasih Anggraini Kasih Anggraini, Kasih Keni Sultan La Elson La Elson La Elson Lisiard Dimara M. Natsir M. Zainuddin Lubis Mahfud Palo Mahiswara Nahiswara Mochamad Adam Maulana Mochamad Tri Hartanto Muhamad Zainuddin Lubis Muhammad Hisyam Muhammad Hisyam Muhammad Hisyam Muhammad Mujahid Muhammad Mujahid Muhammad Z. Lubis Muhammad Zainuddin Lubis Muhammad Zainuddin Lubis Muhammad Zainuddin Lubis Muhammad Zainuddin Lubis Muhammad Zainuddin Lubis Muhammad Zainuddin Lubis Nyoman M N Natih Pratiwi Dwi Wulandari Pratiwi Dwi Wulandari PROF. DR. A.A.ISTRI NGR.MARHAENI,M.A. . Putri, Rini Sahni Rastina Rastina Rauzatul Nazzla Rini Sahni Putri Riza Aitiando Pasaribu RR. Ella Evrita Hestiandari Siahaan, Gracia Tiffany Solikin, Steven Sri Hartati Steven Solikin Susilohadi Susilohadi Susilohadi Susilohadi Syamsul Bahri Agus, Syamsul Bahri Tiggi Choanji Totok Hestirianoto Hestirianoto Wijo Priyono Wijopriono Wijopriono Wijopriono Wijopriono Zulfathri Randhi

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