Jurnal Kelautan Nasional
Pemanfaatan Metoda Machine Learning untuk Meningkatkan Akurasi Penentuan Potensi Lahan Tambak Garam di Kecamatan Kapetakan dan Suranenggala Kabupaten Cirebon
Abstract
Kabupaten Cirebon berada di sepanjang pantai utara laut jawa dan memiliki potensi pengembangan usaha tambak garam dengan garis pantai sepanjang +77,97 km. Kesiapan lahan garam cukup luas yaitu sebesar 1.557,75 Ha. Potensi ini sesuai dengan program Kementerian Kelautan dan Perikanan (KKP) yaitu Sentra Ekonomi Garam Rakyat (SEGAR). Penelitian ini bertujuan untuk mengidentifikasi potensi lahan garam di Kecamatan Kapetakan sebagai kecamatan yang diprioritaskan sebagai lokasi pengembangan SEGAR dan Kecamatan Suranenggala sebagai Kecamatan yang bersebelahan. Metode penelitian yang digunakan adalah Algoritma Machine Learning Random Forest dengan menggunakan aplikasi Google Earth Engine dan Citra Satelit Sentinel 2A. Hasil penelitian ini menunjukkan bahwa potensi lahan garam di Kecamatan Kapetakan diperkirakan sebesar 2.002,44 ha atau 30% dari luas total kecamatan dan potensi lahan garam di Kecamatan Suranenggala diperkirakan sebesar 417,02 ha atau 16% dari luas total kecamatan. Hal lain yang mendukung potensi pengembangan garam di Kecamatan Kapetakan adalah adanya sejumlah gudang garam yang dikelola swasta dan masyarakat, kecocokan kesesuaian tata ruang dengan RTRW Kabupaten Cirebon, rata-rata petak lahan kepemilikan petambak garam lebih besar dari 5 ha sehingga memudahkan proses konsolidasi lahan dan aspek sosial masyarakat yang mendukung program pemerintah daerah, seperti masyarakat yang partisipatif, dan komunikatif.
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DOI: http://dx.doi.org/10.15578/jkn.v19i1.12470
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Pusat Riset Kelautan
Badan Riset dan Sumberdaya Manusia Kelautan dan Perikanan
Kementerian Kelautan dan Perikanan
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