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All Journal Jurnal Harpodon Borneo Jurnal Perikanan dan Kelautan Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan Habitus Aquatica : Journal of Aquatic Resources and Fisheries Management Journal of Maritime Empowerment Jurnal MAIYAH
Radityani, Fitri Afina
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Social Sciences Other

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Journal : Jurnal Perikanan dan Kelautan

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APLIKASI GOOGLE EARTH ENGINE UNTUK KLASIFIKASI HABITAT BENTIK PESISIR NONGSA BATAM MENGGUNAKAN ALGORITMA RANDOM FOREST Prabowo, Nico Wantona; Rusli, Ari; Ghazali, Muhammad; Lubis, Muhammad Zainuddin; radityani, Fitri afina
Jurnal Perikanan dan Kelautan Vol 15, No 1 (2025)
Publisher : JURNAL PERIKANAN DAN KELAUTAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33512/jpk.v15i1.33372

Abstract

This study aims to map benthic habitats in the coastal area of Nongsa, Batam, using Sentinel-2A satellite imagery processed using the Random Forest (RF) algorithm on the Google Earth Engine (GEE) platform. The study area includes Teluk Mata Ikan, Tanjung Bemban, and Batu Besar, Nongsa District, Batam City, Kepulauan Riau Province. Field data were obtained through snorkeling surveys and underwater photo documentation in 16-18 August 2024. The four main habitat classes that were successfully identified include coral, sand, seagrass, and rubble (dead coral fragments). The classification results show the dominance of non-living substrates in the form of sand and rubble in most of the study area, while seagrass and coral are distributed in a limited area. Validation of the classification results produced an Overall Accuracy value of 89.90%, indicating a very good level of classification accuracy and suitability. The combination of Sentinel-2A imagery, RF algorithm, and GEE has proven to be effective, efficient, and replicable for mapping tropical benthic habitats spatially and periodically as a basis for sustainable coastal area management.
Co-Authors Adi Susanto Adinda Kurnia Putri Afif, Muhammad Irfan Ariyansah, Ariyansah Aryani, Desy Fadhila, Muhammad Vicky Fahresa Nugraheni Supadminingsih, Fahresa Nugraheni Ferdiawan, Rafi Aditya Ghazali, Muhammad Ginanjar Pratama Gracia, Jeaneatte Hasanah, Afifah Nurazizatul Khalifa, Muta Ali Lana Izzul Azkia, Lana Izzul Lestiani, Ega Meata, Bhatara Ayi Muhammad Reza Muhammad Zainuddin Lubis Munandar, Erik Nadia, Putri Nuryadin, Devi Faustine Elvina Nuryadin, Devi Faustine Elvira Oktavia, Sella Prabowo, Nico Wantona Ratunisa, Aura Rusli, Ari Setiawan, Kharisma Feri Sipahutar, Yesika Supadmaningsih, Fahresa Nugraheni Tanjung, Kairul Wirawan, Muhammad Rizqi