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All Journal Buletin PSP Jurnal Teknologi Perikanan dan Kelautan Jurnal Ilmu dan Teknologi Kelautan Tropis Indonesian Journal of Electronics and Instrumentation Systems Maspari Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Waste Technology Maspari Journal Jurnal Ilmu Kelautan Spermonde Jurnal Kelautan Tropis Aceh Journal of Animal Science Jurnal Teknologi dan Sistem Komputer Journal of Applied Geospatial Information Omni-Akuatika JURNAL ILMIAH GEOMATIKA JURNAL INTEGRASI Jurnal Penelitian Perikanan Indonesia Jurnal Kelautan Nasional Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital PELAGICUS: Jurnal IPTEK Terapan Perikanan dan Kelautan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Jurnal Perikanan Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital SNTE
Hestirianoto, Totok
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia
Aerospace Engineering 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 Engineering Environmental Science Immunology & microbiology Library & Information Science Mathematics Mechanical Engineering Physics Other

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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.
Co-Authors Acta Withamana Adi Lutfi Hanafi Agustina Sartika Yos Ekaristi Manik Aisyah Aisyah Ali Suman Amron Amron Andi Achmadi Ari Purbayanto Asep Ma'mun Asep Priatna Asep Priatna Augy Syahailatua Ayi Rahmat Baigo Hamuna Chikarista Irfangi DEDI JUSADI Domey Moniharapon Domu Simbolon Dony Apdillah Dwi P. I. Mahdi Dwi Putra Yuwandana Elson, La Faaris, Said M Freddy Supriyadi Freddy Supriyadi Handoko, Dadang Hasan, Rozaimi Che Hawari, Aqil Hendi Santoso Henry Munandar Manik Hidayat, Esa Fajar Husal, Siddiq Husaini Imam Mudita Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Karen von Juterzenka Karlisa Priandana Keni Sultan Khairul Amri Kholilullah, Ibrahim Krisna Rendi Awalludin Lansky, Jovian Lestari, Nurhaliza Amalia Mohammad Imron Muhamad Rakif Panguale Muhamad Zainuddin Lubis Muhammad Banda Selamat Muhammad Banda Selamat Muhammad Farhan Muhammad Mujahid Muhammad Z. Lubis Mujizat Kawaroe Mulyono Mulyono Nazzla, Rauzatul Prasetiawan, Agung Prasetiyo, Shidiq Lanang Pratiwi Dwi Wulandari Rabbani, Mochamad Rafif Rahmat, Ayi Rizqi Rizaldi Hidayat RR. Ella Evrita Hestiandari Saifur Rohman Siahaan, Gracia Tiffany Solikin, Steven Sri Pujiyati Sulaeman Martasuganda Suparman Sasmita Syahrin, Win Alfi Syahrul Purnawan Syamsul B. Agus Try Febrianto Vincentius P Siregar Wiliandi Setiawan Yusli Wardiatno Zulfathri Randhi