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All Journal Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Ilmiah Pangabdhi Jurnal Akuatiklestari JOURNAL OF INDONESIAN TROPICAL FISHERIES (JOINT-FISH) : Jurnal Akuakultur, Teknologi Dan Manajemen Perikanan Tangkap, Ilmu Kelautan Jurnal Laot Ilmu Kelautan BIOCHEPHY: Journal of Science Education Jurnal Sains dan Teknologi Indonesian Tourism Journal
Falmi Yandri
Marine Science Department, Raja Ali Haji Maritime University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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PEMETAAN SEBARAN DAN KERAPATAN MANGROVE MENGGUNAKAN METODE SVM DAN ANALISIS NDVI DENGAN CITRA SENTINEL-2A DI DESA BUSUNG PANJANG: Mangrove Distribution and Density Mapping Using SVM and NDVI with Sentinel-2A Imagery in Busung Panjang Village Muhammad Alwie Nasution; Esty Kurniawati; Falmi Yandri
JURNAL AKUAKULTUR, TEKNOLOGI DAN MANAJEMEN PERIKANAN TANGKAP, ILMU KELAUTAN Vol 9 No 1 (2026): JOURNAL OF INDONESIAN TROPICAL FISHERIES
Publisher : Fakultas Perikanan dan Ilmu Kelautan Universitas Muslim Indonesia Makassar, Sulawesi Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/m5vvan69

Abstract

Mangrove ecosystems have important ecological and economic roles; however, their existence is vulnerable to changes caused by human activities. This study aimed to map the distribution and density of mangrove ecosystems in Busung Panjang Village, Kepulauan Posek District, Lingga Regency using Sentinel-2A imagery from 2018 and 2023. The methods used included Support Vector Machine (SVM) classification for land cover identification and Normalized Difference Vegetation Index (NDVI) analysis to determine mangrove density levels. Field data were collected using a stratified random sampling method with a total of 170 sample points used for classification and accuracy assessment. The results showed that the SVM classification produced an accuracy level of 83.33% in 2018, which increased to 96.67% in 2023. NDVI analysis showed that mangrove density in the study area was dominated by the dense category, covering 21.30 Ha in 2018 and increasing to 29.74 Ha in 2023. Validation between NDVI results and field data showed a conformity level of 88%. These findings indicate that Sentinel-2A imagery combined with SVM and NDVI methods can provide reliable information on mangrove distribution and density as a basis for sustainable mangrove ecosystem management.
Co-Authors Agustian, Hamdan Aldiyansah, Rindi Ardyanti, Suci Novri Arief Pratomo, Arief Aryamukti, Gusti Gilang Azzulfa, Syarifah Bismar Arianto Dedy Kurniawan Devita, Vera Febri Dia, Susi Sulian Esty Kurniawati ESTY KURNIAWATI Esty Kurniawati Fadhliyah Idris Januarni, Wisa Jeleandra, T. Muhammad Jeriyan, Jeriyan Kelana, Indra Kurniawan, Dana Ma'mun, Asep Mario Putra Suhana Muhammad Alwie Nasution Murshalas, Eagie Muzahar Muzahar Nengsih, Rahayu Agustiana Oksep Adhayanto Putri, Salsabila Putri, Shika Meylani Ramadhan, Muhammad Fitrah Ramadhani, Widya Ayu Ramdani, Mohd Raziman, M. Rika Anggraini Roseani Baiti Rohmah Safitri, Fanny Dwi Safitri, Raja Samrota, Mohd. Nabil Try Febrianto Ulfatul Syahara Wirayuhanto, Harish