PEMANFAATAN CITRA SENTINEL 2 UNTUK MONITORING PERUBAHAN LUAS, SEBARAN DAN KERAPATAN MANGROVE DI PESISIR KABUPATEN TANGERANG

    Muhammad Ghozi Alfattah Khairul, - (2023) PEMANFAATAN CITRA SENTINEL 2 UNTUK MONITORING PERUBAHAN LUAS, SEBARAN DAN KERAPATAN MANGROVE DI PESISIR KABUPATEN TANGERANG. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Kabupaten Tangerang memiliki distribusi mangrove di sepanjang pesisir utara dalam
    bidang-bidang kecil dan ekosistem ini menghadapi tekanan yang tinggi akibat
    pertumbuhan penduduk, pembangunan di sekitar pesisir, dan pengaruh aktivitas alam.
    Penginderaan jauh merupakan salah satu teknik yang efisien dalam penggunaan deteksi
    perubahan mangrove di wilayah yang luas dan mendapatkan informasi spasial secara
    berulang dan secara cepat. Penelitian ini bertujuan untuk menganalisis perubahan luas dan
    perubahan kerapatan mangrove di pesisir Kabupaten Tangerang Tahun 2016 dan 2022. .
    Metode penelitian yang digunakan yang digunakan adalah analisis spasial dengan
    supervised classification untuk memetakan perubahan luas mangrove dan tranformasi
    NDVI (Normalized Difference Vegetation Index) untuk mendeteksi perubahan tingkat
    kerapatan mangrove. Hasil penelitian ini menunjukkan perubahan luasan mangrove sejak
    tahun 2016 hingga 2022, mengalami perubahan penambahan luas sebesar 15.55 Ha. Pada
    tahun 2016 kabupaten Tangerang memliki total luas mangrove seluas 191,56 Ha dan pada
    tahun 2022 seluas 207,11 Ha. Dari hasil overlay peta kerapatan tingkat kerapatan mangrove
    bertambah, teritung seluas 164,25 Ha atau 79,31 %, dan untuk kerapatan mangrove yang
    berkurang seluas 42.88 Ha atau 20,69 %. Berdasarkan hasil uji akurasi interpretasi,
    didapatkan nilai akurasi untuk seluruh sampel sebesar 90% sehingga dapat diterima. :
    Tangerang Regency has a distribution of mangroves along the north coast in small
    areas and this ecosystem is facing high pressure due to population growth, development
    around the coast, and the influence of natural activities. Remote sensing is an efficient
    technique for detecting changes in mangroves over a large area and obtaining spatial
    information repeatedly and quickly. This study aims to analyze changes in the area and
    density of mangroves on the coast of Tangerang Regency in 2016 and 2022. . The research
    method used is spatial analysis with supervised classification to map changes in mangrove
    area and NDVI (Normalized Difference Vegetation Index) transformation to detect
    changes in mangrove density levels. The results of this study indicate changes in the area
    of mangroves from 2016 to 2022, there has been a change in the addition of an area of
    15.55 Ha. In 2016 the Tangerang district had a total mangrove area of 191.56 Ha and in
    2022 an area of 207.11 Ha. From the results of the overlay on the density map, the density
    of mangroves has increased, which is 164.25 hectares or 79.31%, and the mangrove
    density has decreased by 42.88 hectares or 20.69%. Based on the results of the
    interpretation accuracy test, the accuracy value for all samples was obtained at 90% so
    that it was acceptable.

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    Official URL: http://repository.upi.edu;
    Item Type: Thesis (S1)
    Additional Information: Link Google Schoolar : https://scholar.google.com/citations?hl=id&user=Ag_dts0AAAAJ&authuser=1&scilu=&scisig=AD-1fHYAAAAAZQnJzxLaKt66x1hkujnIWxGXplM&gmla=AP6z3OaFLbG3GeZOKn92cxm6m_I7u2sHdLmP0_mZZg0RHAoY8PcsYTf3Qkum-HXtvdT8xL32WRSuVVkA2cPyXHHs_eF0nWd6MCKyGVY4D2UWq2ggfmVLU-4yfVE&sciund=640885345641072504 ID SINTA Dosen Pembimbing: Dede Sugandi:5989548 Riki Ridwana:6659655
    Uncontrolled Keywords: Penginderaan jauh, Kerapatan Mangrove, Citra Sentinel 2, NDVI
    Subjects: G Geography. Anthropology. Recreation > G Geography (General)
    G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
    Divisions: Fakultas Pendidikan Ilmu Pengetahuan Sosial > Sains Informasi Geografi S1
    Depositing User: Muhammad Ghozi Alfattah Khairul
    Date Deposited: 25 Sep 2023 08:30
    Last Modified: 25 Sep 2023 08:30
    URI: http://repository.upi.edu/id/eprint/106919

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