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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 Jurnal Kelautan Tropis 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 SNTE
Sri Pujiyati
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia
Agriculture, Biological Sciences & Forestry Automotive Engineering 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 Mechanical Engineering Physics Other

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Prototype Testing of Automatic Vessel Tracking System using Web-Based Visualization Nazzla, Rauzatul; Hestirianoto, Totok; Pujiyati, Sri
PELAGICUS Volume 3 Nomor 2 Tahun 2022
Publisher : Politeknik Kelautan dan Perikanan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/plgc.v3i2.10609

Abstract

Automatic Tracking System is an example in the development of navigation technology that is needed in every means of transportation by land, water, or air. An example of its application in the field of fisheries management is the Vessel Monitoring System (VMS). The purpose of this study was to develop a telemetry technique particularly automatic vessel tracking system. In this study is expected to produce a prototype which can provide information about the movement of traditional fishing boats, especially in coastal areas. Prototype testing in this study was limited to the performance of a prototype based on the capability of the electronics and the resulting output data. Output data obtained by two methods: (1) the trial was stationary, and (2) mobile test. This study also examined the comparison between tracker prototype with GPS handheld. Mobile tracker marks the position automatically whenever the tool is turned on. The increasing distance between the transmitter unit to the receiver unit, the deviation would be even greater. This tool was sensitive in responding and quickly perform the recording every movement. When compared to handheld GPS, this tool has good accuracy and precision indicated by a 95% confidence interval.
DISTRIBUTION OF PELAGIC FISH IN SOUTH CHINA SEA USING GEOSTATISTICAL APPROACH Hidayat, Esa Fajar; Pujiyati, Sri; Suman, Ali; Hestirianoto, Totok
Jurnal Ilmu Kelautan SPERMONDE VOLUME 4 NUMBER 1, 2018
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/jiks.v4i1.3800

Abstract

Pelagic fish are spesies that live in water column at depth of 100 to 200 meters from surface. They migrate as a group looking for nutrient and spawning place. Potential fisheries comodities in Indonesia including pelagic fish have high economic value. Then, stock assessment of pelagic fish measurement is important to researched. The research was conducted in May – June 2016 surrounding South China Sea waters using Madidihang 02 Research Vessel operated by Marine Fisheries Affair (MFA) Republic of Indonesia. To estimate the density of pelagic fish hydro-accoustic equipment and oceanography parameters were used and measured during the campaign. The split beam echosounder was use in aim to obtain precission position and number of fish target. The highest density of fish was found around Tambelan Island and Anambas Island. Statistically pelagic fish density has correlation with chlorophyll-a, salinity, temperature, and sea current velocity. The statistical analysis between pelagic fish density and those oceanography parameters (as statistic variables) yields positive vector correlation.
KUANTIFIKASI HAMBUR BALIK AKUSTIK DASAR LAUT MENGGUNAKAN SCIENTIFIC SINGLE BEAM ECHOSOUNDER Manik, Henry Munandar; Totok Hestirianoto; Sri Pujiyati; Elson, La
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 14 No. 1 (2022): 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.v14i1.37184

Abstract

Teknologi hidroakustik mampu melakukan kuantifikasi terhadap substrat dasar laut dan dapat memperkirakan secara akurat dan mendekati real time terhadap karakter akustik yang dimiliki oleh masing-masing jenis substrat. Tujuan dari penelitian ini adalah melakukan kuantifikasi hambur balik akustik dasar laut dalam upaya pengembangan teknologi informasi kelautan. Akusisi data menggunakan instrumen akustik Single Beam Echosounder Simrad EK-15 pada frekuensi 200 kHz. Pengolahan dan analisis data meliputi hambur balik akustik, tipe sedimen, komputasi acoustics bottom backscattering substrat dasar laut dan analisis spasial acoustic backscattering dasar laut di perairan Pulau Lancang. Hasil penelitian ini menunjukkan bahwa nilai hambur balik akustik substrat dasar laut berdasarkan nilai SS dan ukuran partikel di setiap stasiun sampling yaitu tipe substrat pasir -21,08 dB sampai -24,55 dB, pasir halus -25,67 dB sampai -26,67 dB, dan pasir halus sekali berkisar antara -27,42 dB sampai -28,03 dB. Berdasarkan rentang nilai hambur balik akustik yang didapatkan dari stasiun sampling diperoleh klasifikasi jenis substrat dasar laut di sepanjang lajur survei yaitu pasir kasar sekali, pasir kasar, pasir sedang, pasir halus, pasir halus sekali, lanau kasar, lanau sedang, lanau halus, lempung kasar dan lempung halus pada rentang nilai -47,85 dB sampai -17,07 dB. Substrat pasir paling banyak ditemukan di lokasi penelitian dengan komposisi yang lebih besar dibandingkan dengan lanau dan lempung. Nilai hambur balik akustik sangat dipengaruhi oleh ukuran partikel, bentuk morfologi dan relief dasar laut.
Rancang Bangun Sistem Monitoring Kelembaban dan Suhu Pasir Sarang Penyu Berbasis Internet of Things (IoT) Santoso, Hendi; Hestirianoto, Totok; Jaya, Indra; Pujiyati, Sri
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penyu merupakan jenis reptilia laut yang hidup di daerah tropis dan subtropis. Penyu merupakan hewan yang mempunyai sifat Temperature-dependent Sex Determination (TSD). Suhu saat masa inkubasi telur menentukan jenis kelamin betina atau jantan. Penyu yang merupakan hewan berdarah dingin tidak bisa mengerami telurnya sendiri. Keberhasilan penetasan telur penyu secara alamiah dipengaruhi oleh kondisi lingkungan seperti: faktor letak sarang, kedalaman sarang, suhu sarang, kelembapan sarang dan lingkungan sekitarnya. Sistem monitoring yang dikembangkan oleh penelitian ini yaitu sistem monitoring secara real time dan berbasis IoT menggunakan mikrokontroler Arduino Uno dan NodeMcu 6288. Penelitian ini bertujuan untuk memberikan kemudahan bagi peneliti atau masyarakat dalam pengukuran kelembapan dan suhu pasir yang dimanfaatkan untuk bidang-bidang tertentu. Pengukuran suhu pasir menggunakan sensor DS18B20 waterproof, kelembapan pasir menggunakan sensor SKU SEN:0193 serta suhu dan kelembapan udara menggunakan DHT22. Modul sdcard berfungsi untuk menyimpan data hasil perhitungan sensor secara realtime dan terus-menerus. Desain alat ukur dirancang untuk mudah dibawa (portable) dan mudah untuk digunakan. Bahan yang digunakan adalah plastik poly propylene yang mempunyai dimensi 11x8x18 cm. Instrumen ini dapat mencatat secara autonomous dan logger setiap 5 menit sekali dan di tampilkan ke web server dan aplikasi smartphone. Alat ini mampu memberikan informasi data suhu pasir, kelembapan pasir, suhu udara dan kelembapan udara pada sarang penyu semi alami. Berdasarkan hasil pengukuran menggunakan instrumen, suhu pasir sarang penyu semi alami Konservasi Penyu Pangumbahan berkisar antara 27,9 ℃ – 33,2 ℃ dengan rata-rata 30,2℃. Suhu udara berkisar antara 21,5 ℃ – 38,9 ℃ dengan rata-rata 27,5 ℃. Kelembapan pasir berkisar antara 21% – 41% dengan rata-rata 34,3%. Kelembapan udara 38,1% – 89,7% dengan rata-rata 81,9%.
Echogram Image Analysis for Pelagic Fish School Classification in Bungus Waters, West Sumatra Lansky, Jovian; Solikin, Steven; Pujiyati, Sri; Hestirianoto, Totok
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 17 No. 3 (2025): 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.17.3.69567

Abstract

Tropical marine fisheries are characterized by high species diversity but low individual abundance per species within the same water column, making the detection of distinct fish schools challenging using hydroacoustic technology. However, a hydroacoustic survey conducted in Bungus, West Sumatra, in October 2023 revealed the presence of approximately 14 identifiable fish schools of varying sizes, indicating the potential for further analytical investigation. This study aims to characterize and classify fish schools by analyzing echogram imagery and extracting key acoustic parameters through a statistical multivariate approach. Acoustic data were collected using a Simrad EK-15 echosounder operating at 200 kHz. Subsequent data processing was performed in Echoview, followed by multivariate analysis. From an initial dataset of 24 detected schools, 12 parameters were retained for analysis. These parameters were categorized into three groups: (1) energetic parameters, including target strength (TS), volume backscattering strength (Sv), area backscattering strength (Sa), skewness, and kurtosis; (2) morphometric parameters, consisting of school height, length, perimeter, and volume; and (3) bathymetric parameters, represented by average school depth. Latitude and longitude were included as supplementary spatial descriptors. Among the 12 parameters, latitude did not contribute to school characterization and was therefore excluded from further analysis. Multivariate results indicated that morphometric parameters (particularly school height and area) and energetic parameters (Sa and TS) were the most influential in differentiating school structure. Cluster analysis based on the remaining 11 parameters identified two distinct groups of fish schools: Group 1, comprising 14 schools (58.3%), and Group 2, comprising 10 schools (41.7%). These findings demonstrate that integrating hydroacoustic metrics with multivariate statistical methods provides an effective framework for identifying and characterizing fish schools in tropical waters with inherently complex species assemblages.
Klasifikasi Sedimen Dasar Laut Menggunakan Multibeam Echosounder dan Metode Deep Learning Muhammad Fadhil Ilham; Henry Munandar Manik; Sri Pujiyati
Jurnal Kelautan Tropis Vol 29, No 2 (2026): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v29i2.29843

Abstract

Klasifikasi sedimen dasar laut memiliki peran penting dalam mendukung pengelolaan sumber daya kelautan, konservasi ekosistem, serta perencanaan pembangunan wilayah pesisir. Multibeam Echosounder (MBES) merupakan instrumen akustik yang mampu menghasilkan data batimetri dan hambur balik (backscatter) beresolusi tinggi, sehingga menyediakan informasi penting untuk mengidentifikasi jenis dan karakteristik fisik dasar laut. Namun, metode klasifikasi konvensional masih menghadapi keterbatasan, seperti kebutuhan ekstraksi fitur secara manual dan sensitivitas terhadap ketidakseimbangan data, sehingga akurasinya sering kali tidak konsisten. Penelitian ini bertujuan untuk mengevaluasi dan membandingkan kinerja beberapa algoritma deep learning dalam klasifikasi sedimen dasar laut menggunakan data MBES di perairan Pulau Pari, Kepulauan Seribu. Dataset yang digunakan terdiri atas nilai backscatter akustik, kedalaman batimetri, serta empat parameter turunan batimetri, yaitu slope, rugosity, curvature, dan Bathymetric Position Index (BPI) sebagai fitur masukan. Sebanyak 42 sampel sedimen dasar laut dikumpulkan sebagai data ground truth, kemudian dibagi menjadi 50% untuk pelatihan dan 50% untuk pengujian model. Data MBES diolah menggunakan perangkat lunak CARIS HIPS and SIPS, sedangkan parameter turunan dihitung melalui ArcGIS 10.8.2. Evaluasi model dilakukan menggunakan confusion matrix dengan tiga metrik utama, yaitu accuracy, F1-score, dan koefisien kappa (κ). Hasil penelitian menunjukkan bahwa algoritma deep learning mampu memberikan kesesuaian yang substansial, dengan model terbaik memperoleh nilai accuracy sebesar 83,78%, F1-score sebesar 83,27%, dan koefisien kappa sebesar 0,67. Penelitian ini menunjukkan bahwa pendekatan deep learning efektif dalam klasifikasi sedimen dasar laut dan berpotensi besar meningkatkan otomatisasi serta ketelitian pemetaan dasar laut berbasis data MBES.
Characteristics of Sediment Grain Size in Shallow Waters of Kapota Island and Atoll, Wakatobi Baigo Hamuna; Sri Pujiyati; Jonson Lumban Gaol; Totok Hestirianoto; Alianto Alianto
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol 18 No 2 (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.18.2.72360

Abstract

Shallow waters in tropical island and atoll regions are highly dynamic environments where sediment grain size characteristics and distribution are influenced by complex interactions. This research aims to obtain a description of the grain size characteristics of shallow water sediments on Kapota Island and Kapota Atoll, Wakatobi. Shallow water sediment samples were collected using a core pipe at 14 observation stations representing both study locations. Sediment grain size analysis was performed using the dry sieving method, while the fraction composition, sediment texture, and statistical parameters were determined with the aid of Gradistat software. The analysis results show that the shallow water sediments at both locations are composed of three main fractions: gravel (1.20–44.55%), sand (54.91–98.21%), and silt (0.01–10.50%). Texturally, sediments are classified into four types: sandy gravel, gravelly sand, slightly gravelly sand, and slightly gravelly muddy sand. The statistical parameter values indicate a mean grain size range from very coarse to very fine sand, a sorting level from moderately sorted to very poorly sorted, a skewness value from symmetrical to strongly skewed toward the coarse fraction, and a kurtosis from very flat to very peaked. Generally, there are no significant differences in the grain size characteristics of sediments between Kapota Island and Kapota Atoll, except for the sediment texture distribution pattern and the shape of the kurtosis curve. These results confirm that the sedimentation dynamics at both locations are relatively similar and provide an important basis for understanding deposition processes and managing the shallow water environment in Wakatobi.
Co-Authors Aisyah Aisyah Alajuri, M Hasbi Sidqi Ali Suman Alianto , Anang Prasetia Adi Andi Yaodi Nurani Yamin Angga Dwinovantyo Ariel Hananya Asep Ma'mun Augy Syahailatua Ayi Rahmat Baigo Hamuna 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 Elson, La Endang Sunarwati Srimariana Erfind Nurdin Erwin Maulana Fachri Ali Badihi Freddy Supriyadi Freddy Supriyadi Hendi Santoso Henry Munandar Manik Hestirianoto, Totok Hidayanto Akbar Hidayat, Esa Fajar Husnul Kausarian I Made Candiasa Indra Jaya Indra Jaya Indra Jaya Indra Jaya Jonson Lumban Gaol Kasih Anggraini Kasih Anggraini, Kasih Keni Sultan Lansky, Jovian Lisiard Dimara M. Natsir M. Zainuddin Lubis Mahfud Palo Mahiswara Nahiswara Mochamad Adam Maulana Mochamad Tri Hartanto Muhamad Zainuddin Lubis Muhammad Fadhil Ilham Muhammad Hisyam Muhammad Hisyam Muhammad Hisyam Muhammad Mujahid Muhammad Mujahid Muhammad Z. Lubis Muhammad Zainuddin Lubis Nazzla, Rauzatul Nyoman M N Natih Pratiwi Dwi Wulandari Pratiwi Dwi Wulandari PROF. DR. A.A.ISTRI NGR.MARHAENI,M.A. . Putri, Rini Sahni Rastina Rastina Rini Sahni Putri Riza Aitiando Pasaribu RR. Ella Evrita Hestiandari Siahaan, Gracia Tiffany Sri Hartati Steven Solikin Susilohadi Susilohadi Susilohadi Susilohadi Syamsul Bahri Agus, Syamsul Bahri Tiggi Choanji Wijo Priyono Wijopriono Wijopriono Wijopriono Wijopriono Zulfathri Randhi