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Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan Zibar, Zan; Saputra, Robin; Raynaldo, Adityo; Supriyatno, Supriyatno
Journal of Applied Geospatial Information Vol. 8 No. 2 (2024): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v8i2.8705

Abstract

Benthic habitats are important for the quality of life and global climate. Systematic and efficient information is important for the monitoring, mapping, and recording of aquatic bottom habitats, thus providing a habitat database. In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. Our study's goal is to use WebGIS to combine coral reef monitoring data from Lemukutan Island and find out how much coral cover there is on the island using the smart island WebGIS. This study took place from August 6th to August 13th, 2024, and used a total of 1097 field points to show where all the benthic habitats and Sentinel 2A image data sources were located. The research results obtained the extent of shallow water benthic habitat classification with different variations in each habitat class. The Rock Class covers an area of "‹"‹41,940 ha, the mixed class 2,409 ha, the coral class 130,340 ha, the dead coral class 49,249 ha, the macroalgae class 2,840 ha, and the sand class 12,140 ha. The overall accuracy (OA) results for the waters of Lemukutan Island obtained the highest value, namely 89.5833%, using the SVM algorithm. Regular monitoring of coral reefs can help update Lemukutan Island Smart Island data to become a catalyst in realizing a smart island ecosystem in West Kalimantan Province by presenting benthic habitat maps through web GIS services and realizing technology development for coastal areas and small islands.
Analisis Hubungan Kondisi Ekosistem Mangrove terhadap Produksi Ikan di Kawasan Konservasi Perairan Kayong Utara: Analysis of the Relationship Between Mangrove Ecosystem Conditions and Fish Production in the Marine Conservation Area of Kayong Utara Saputra, Robin; Raynaldo, Adityo
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 16 No. 3 (2024): 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.v16i3.59955

Abstract

Kawasan Konservasi Perairan Kabupaten Kayong Utara bertujuan untuk melindungi dan memanfaatkan sumber daya perikanan secara berkelanjutan, termasuk udang penaeid, pesut, dan ekosistem mangrove. Pengelolaan yang efektif memerlukan data spasial mengenai target konservasi guna mendukung perencanaan dan evaluasi yang komprehensif. Penelitian ini menganalisis hubungan antara indeks vegetasi mangrove (NDVI) dari citra satelit dengan produksi ikan di kawasan konservasi menggunakan pendekatan produktivitas mangrove. Penelitian ini terdiri dari empat tahapan: (i) analisis stok dan produksi ikan dengan model produktivitas mangrove, (ii) analisis korelasi antara produksi ikan dan kondisi mangrove, (iii) pengukuran parameter fisikokimia perairan, serta (iv) analisis korelasi antara faktor fisikokimia perairan dan produksi ikan. Hasil penelitian menunjukkan bahwa rata-rata produksi serasah mangrove mencapai 2,09±0,86 g berat kering/m²/hari atau 8,42±3,47 ton/ha/tahun, sementara produksi ikan berkisar antara 190,17–690,28 kg/ha/tahun dengan rata-rata 448,82±185,61 kg/ha/tahun. Terdapat korelasi positif sedang antara NDVI dan produksi ikan (r = 0,51), sedangkan parameter Dissolved Oxygen (DO) dan Muatan Padatan Tersuspensi (MPT) menunjukkan korelasi negatif terhadap produksi ikan (r = -0,65 dan -0,57). Hasil penelitian ini menegaskan peran penting ekosistem mangrove dalam mendukung produktivitas perikanan. Oleh karena itu, upaya konservasi mangrove perlu diperkuat guna menjaga keseimbangan ekosistem dan keberlanjutan sumber daya perikanan.
Rancang Bangun Alat Monitoring Pasang Surut Menggunakan Energi Matahari Berbasis Internet of Things (IoT) Santoso, Hendi; Munandar, Rizqan Khairan; Saputra, Robin; Zibar, Zan; Dodi, Dodi
Juvenil Vol 6, No 2: Mei (2025)
Publisher : Department of Marine and Fisheries, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/juvenil.v6i2.29729

Abstract

ABSTRAKPemantauan pasang surut air laut sangat penting dalam pengelolaan wilayah pesisir, keselamatan navigasi, dan studi lingkungan. Namun, sistem pemantauan pasang surut konvensional sering menghadapi kendala seperti biaya operasional yang tinggi dan ketergantungan pada sumber energi fosil. Penelitian ini bertujuan untuk merancang dan membangun alat monitoring pasang surut berbasis Internet of Things (IoT) yang menggunakan sumber energi terbarukan berupa tenaga surya. Alat ini menggunakan modul ESP8266 sebagai mikrokontroler utama yang terhubung dengan sistem IoT melalui koneksi Wi-Fi. Panel surya berkapasitas 10 Wp dan aki 12 V 6 Ah digunakan untuk mendukung operasional alat secara mandiri sehingga dapat berfungsi terus-menerus tanpa bergantung pada listrik konvensional. Data yang diperoleh, seperti tinggi pasang surut air, dikirimkan secara real-time ke website khusus yang terintegrasi dengan database MySQL untuk menyimpan data pengukuran. Hal ini memudahkan pengguna dalam mengakses informasi historis dan melakukan analisis lebih lanjut. Hasil penelitian menunjukkan bahwa alat monitoring pasang surut berbasis IoT dengan energi surya ini dapat beroperasi secara efektif dan memberikan solusi pemantauan pasang surut yang efisien serta ramah lingkungan.Kata Kunci: ESP8266, Internet of Things (IoT), Monitoring Pasang Surut, Panel Surya, Website.ABSTRACTThis study aims to design and develop a tidal monitoring device based on the Internet of Things (IoT) that utilizes solar energy as a renewable power source. The device is equipped with an ESP8266 module as the main microcontroller, which connects to the IoT system via Wi-Fi. A 10 Wp solar panel and a 12 V 6 Ah battery are used to ensure the device operates autonomously, allowing it to function continuously without relying on conventional power sources. Data collect-ed from the device, such as tidal height, is transmitted in real-time to a custom-developed web-site. The website is integrated with a MySQL database to store the measured tidal data, facilitat-ing easy access to historical data and further analysis. The results of this study demonstrate that the solar-powered tidal monitoring device based on IoT operates effectively, offering an efficient and environmentally friendly solution for tidal monitoring.Keywords: ESP8266, Internet of Things (IoT), Solar Panel, Tidal Monitoring, Website.
Macrozoobenthos Community Structure as a Bioindicator for Waters in Sungai Kakap Village, Kubu Raya Marista, Etha; Raynaldo, Adityo; Shofiyah, Sofi Siti; Zibar, Zan; Saputra, Robin; Linda, Riza
Jurnal Biologi Tropis Vol. 25 No. 4 (2025): Oktober-Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v25i4.10194

Abstract

Coastal waters are vital for aquatic life and human activities, yet their quality is highly susceptible to environmental pressures. Because macrozoobenthos are sensitive to environmental changes and have limited mobility, they are frequently utilized as bioindicators. This study aims to examine the structure of the macrozoobenthos community in the waters of Sungai Kakap Village, Kubu Raya Regency, and its relationship with environmental parameters. Samples were collected at five stations using purposive sampling with line transects and quadrants, then analyzed for density, diversity (H'), evenness (E), and dominance (C). A total of 14 species were found with distinct dominant patterns across stations, notably the high dominance of Neritina violacea, Corbicula fluminea, and Corbicula fluvitalis at Stations I, III, and V, respectively. Community structure analysis showed low diversity (H': 0.33–0.65) and high dominance (C: up to 0.84), suggesting a community structure dominated by a few species, leading to relatively low stability. Environmental parameters—temperature (30.1–31.7∘ C), salinity (0.50–3.00%), pH (5.45–7.58), and DO (3.77–7.51 mg/L)—were found to influence species distribution. These results confirm that macrozoobenthos is an effective bioindicator for water quality assessment in the Sungai Kakap area. The low community stability implies a need for consistent monitoring to prevent further degradation. Future research should focus on the impact of specific pollutants on these dominant species to support informed mangrove ecosystem management.
Mangrove Cerdas 4.0: Perancangan Geodatabase untuk Mendukung Transformasi Digital Pengelolaan Konservasi Perairan Kayong Utara Berbasis WebGIS Saputra, Robin; Zibar, Zan; Raynaldo, Adityo
Jurnal Laut Khatulistiwa Vol 8, No 3 (2025): October
Publisher : Dept. Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/lkuntan.v8i3.98839

Abstract

Penelitian ini menghadirkan inovasi dalam pengelolaan ekosistem mangrove melalui pengembangan WebGIS Mangrove Cerdas 4.0, sebuah sistem digital interaktif yang mengintegrasikan data penginderaan jauh, survei lapangan, dan analisis kualitas air untuk mendukung konservasi pesisir berbasis data spasial. Inovasi ini menjawab kekosongan penerapan teknologi WebGIS yang selama ini belum optimal digunakan dalam pemantauan mangrove di Indonesia. Penelitian dilakukan di Pulau Maya, Kabupaten Kayong Utara, dengan pendekatan kombinatif antara klasifikasi citra Sentinel-2B menggunakan algoritma Support Vector Machine (SVM), analisis Normalized Difference Vegetation Index (NDVI) untuk kerapatan vegetasi, dan interpolasi Inverse Distance Weighting (IDW) untuk parameter kualitas air. Hasil penelitian menunjukkan terdapat 15 jenis mangrove (12 sejati dan 3 asosiasi) dengan dominansi Rhizophora apiculata, R. mucronata, dan Sonneratia alba. Luas kawasan mangrove mencapai 13.871,70 ha dengan akurasi klasifikasi 70,73% (Kappa 0,5579). Berdasarkan NDVI, kerapatan mangrove terbagi atas kategori jarang (490,67 ha), sedang (6.713,92 ha), dan rapat (6.667,11 ha). Parameter kualitas air menunjukkan kondisi yang mendukung pertumbuhan mangrove, yaitu pH 7,0-8,69, DO 3,50-7,99 mg/L, salinitas 11,21-30,49‰, dan suhu 26,6–33,09°C. Seluruh hasil diintegrasikan dalam WebGIS berbasis Leaflet yang dapat diakses publik untuk monitoring konservasi. Penelitian ini menegaskan bahwa integrasi teknologi WebGIS berbasis data spasial dapat menjadi model transformasi digital pengelolaan ekosistem pesisir, sekaligus memberikan kontribusi nyata terhadap konservasi berbasis sains dan partisipasi masyarakat di era 4.0.