PEMETAAN PERUBAHAN LUASAN VEGETASI MANGROVE DI DESA TANJUNG PASIR, KABUPATEN TANGERANG, PROVINSI BANTEN

    Sherly Rosmaida, - (2025) PEMETAAN PERUBAHAN LUASAN VEGETASI MANGROVE DI DESA TANJUNG PASIR, KABUPATEN TANGERANG, PROVINSI BANTEN. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Mangrove merupakan ekosistem penting pesisir yang tidak hanya berfungsi sebagai pelindung alami dari abrasi dan gelombang, tetapi juga menghadapi tekanan serius akibat konversi lahan dan aktivitas manusia. Kondisi tersebut mendorong perlunya pemetaan dan pemantauan vegetasi mangrove, termasuk di Desa Tanjung Pasir, Kabupaten Tangerang, Provinsi Banten. Penelitian ini bertujuan untuk memetakan perubahan luasan vegetasi mangrove di wilayah tersebut selama periode 2020 hingga 2024. Selain itu, penelitian ini juga menganalisis tingkat kerapatan vegetasi berdasarkan indeks Enhanced Vegetation Index (EVI) serta menilai kerentanan mangrove terhadap tekanan lingkungan. Metode yang digunakan meliputi pengolahan citra satelit Sentinel-2A melalui platform Google Earth Engine (GEE), klasifikasi tutupan lahan menggunakan algoritma Random Forest, dan analisis spasial kerapatan mangrove berbasis EVI. Validasi hasil klasifikasi dilakukan dengan survei lapangan dan perhitungan matriks kesalahan. Hasil penelitian menunjukkan bahwa total luasan vegetasi mangrove mengalami peningkatan sebesar 12,67 hektare (18,79%) dari tahun 2020 hingga 2024. Kelas mangrove rapat meningkat paling signifikan dari 46,03 hektare menjadi 65,26 hektare. Berdasarkan analisis spasial, luasan vegetasi mangrove tahun 2024 mencakup sekitar 14,71% dari total area penelitian, yang masih tergolong kategori buruk menurut KepMENLH No. 201 Tahun 2004. Hasil uji akurasi klasifikasi menunjukkan nilai Overall Accuracy sebesar 89,42% dan Kappa Coefficient sebesar 0,87. Penelitian ini menunjukkan bahwa terjadi pemulihan vegetasi mangrove di wilayah studi, terutama melalui peningkatan kerapatan mangrove rapat, meskipun kondisi keseluruhan masih memerlukan perhatian lebih lanjut. Hasil ini diharapkan dapat menjadi dasar dalam perencanaan pengelolaan dan rehabilitasi mangrove secara berkelanjutan di kawasan pesisir. Mangroves are important coastal ecosystems that not only serve as natural protection against abrasion and waves, but also face serious pressure from land conversion and human activities. These conditions necessitate the mapping and monitoring of mangrove vegetation, including in Tanjung Pasir Village, Tangerang Regency, Banten Province. This study aims to map changes in mangrove vegetation area in the region from 2020 to 2024. In addition, this study also analyzed the level of vegetation density based on the Enhanced Vegetation Index (EVI) index and assessed the vulnerability of mangroves to environmental pressures. The methods used include processing Sentinel-2A satellite images through the Google Earth Engine (GEE) platform, land cover classification using the Random Forest algorithm, and spatial analysis of EVI-based mangrove density. Validation of the classification results was conducted by field survey and calculation of the error matrix. The results showed that the total area of mangrove vegetation increased by 12.67 hectares (18.79%) from 2020 to 2024. The dense mangrove class increased most significantly from 46.03 hectares to 65.26 hectares. Based on spatial analysis, the mangrove vegetation area in 2024 covers about 14.71% of the total study area, which is still classified as damaged according to KepMENLH No. 201 Year 2004. The classification accuracy test results showed an Overall Accuracy value of 89.42% and Kappa Coefficient of 0.87. This research shows that there is a recovery of mangrove vegetation in the study area, mainly through an increase in dense mangrove density, although the overall condition still requires further attention. These results are expected to inform planning for sustainable mangrove management and rehabilitation in coastal areas.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en&user=11X7JbwAAAAJ ID SINTA Dosen Pembimbing Luthfi Anzani: 6721957 Willdan Aprizal Arifin: 6745746
    Uncontrolled Keywords: EVI, Google Earth Engine, Random Forest, Sentinel-2A, Tanjung Pasir EVI, Google Earth Engine, Random Forest, Sentinel-2A, Tanjung Pasir
    Subjects: G Geography. Anthropology. Recreation > G Geography (General)
    G Geography. Anthropology. Recreation > GC Oceanography
    Divisions: UPI Kampus Serang > S1 Sistem Informasi Kelautan
    Depositing User: Sherly Rosmaida
    Date Deposited: 19 Sep 2025 03:43
    Last Modified: 19 Sep 2025 03:43
    URI: http://repository.upi.edu/id/eprint/138013

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