Analisis Kerapatan dan Kesehatan Mangrove di Mundupesisir, Kecamatan Mundu, Kabupaten Cirebon

Abstract

Mangrove merupakan jenis tumbuhan yang memiliki fungsi penting terhadap ekosistem khususnya di daerah pesisir yang menjadi area pasang surut. Pada tahun 2022, 90% mangrove di Pantai Utara Jawa Barat mengalami kerusakan, salah satunya di Kabupaten Cirebon. Kerusakan mangrove menyebabkan perlunya pemantauan kondisi hutan mangrove untuk mencegah dampak berkelanjutan di Mundupesisir, Kecamatan Mundu, Kabupaten Cirebon. Penelitian ini bertujuan untuk memetakan serta menganalisis kerapatan dan kesehatan mangrove di Mundupesisir. Analisis kerapatan mangrove dilakukan dengan membandingkan uji regresi linear terhadap 5 indeks vegetasi berbeda, dan kesehatan mangrove dianalisis dengan menggunakan algoritma Mangrove Health Index (MHI). Normalized Difference Vegetation Index (NDVI) dipilih menjadi indeks vegetasi kerapatan mangrove dengan nilai koefisien determinasi tertinggi. Nilai koefisien korelasi (r) tutupan kanopi mangrove berdasarkan data survei lapang dengan NDVI sebesar 0,7992 dan koefisien determinasi (R2) sebesar 0,6388, Kerapatan mangrove yang dihasilkan terklasifikasi menjadi 3 kelas kerapatan, yaitu mangrove jarang (1,05 ha), mangrove sedang (0,76 ha) dan mangrove rapat (29,33 ha), serta kesehatan mangrove yang dihasilkan terklasifikasi menjadi 3 kelas kesehatan, yaitu mangrove buruk (2,44 ha), mangrove sedang (22,5 ha), dan mangrove sehat (6,2 ha) dengan total luasan mangrove sebesar 31,14 ha. Hasil uji akurasi confusion matrix pada klasifikasi sebaran kerapatan mangrove memperoleh nilai sebesar 92,86% dan kappa coefficient sebesar 0,74, serta pada klasifikasi sebaran kesehatan mangrove memperoleh nilai 82,14% dan kappa coefficient sebesar 0,49. Metode regresi linear sederhana kembali digunakan untuk melakukan uji korelasi antara persentase tutupan kanopi mangrove dengan menggunakan NDVI, dan kesehatan mangrove. Nilai koefisien korelasi (r) kerapatan mangrove berdasarkan NDVI dengan kesehartan mangrove berdasarkan MHI sebesar 0,7009 dan koefisien determinasi (R2) sebesar 0,4912

Mangrove is a type of plant that has important functions to the ecosystem especially in the coastal areas that are receding areas. By 2022, 90% of the mangroves on the North West Java Coast were damaged, one of them in the district of Cirebon. Mangrove damage has led to the need to monitor the conditions of mangrove forests to prevent sustainable impact in Mundupesisir, Mundu district, Cirebon district. The research aim at mapping and analyzing the density and health of mangroves in the Mundupesisir. The mangrove density analysis was done by comparing the linear regression test to 5 different vegetation index, and the mangrove health was analyzed using the Mangrove Health Index (MHI) algorithm. Normalized Difference Vegetation Index (NDVI) was selected as the vegetation density index of mangrove with the highest determination coefficient value. The value of the correlation coefficient (r) of the coverage of mangrove canopy is based on field survey data with NDVI of 0.7992 and the determination factor (R2) of 0.6388, The mangrove density is classified into 3 density classes, namely rare mangrove (1,05 ha), moderate mangrove (0,76 ha) and dense mangrove (29,33 ha), as well as the mangrove health are classified in 3 health classes, that is unhealthy mangrove (2.44 ha), moderate mangrove (22,5 ha), and healthy mangrove (6.2 ha) with a total mangrove area of 31.14 ha. The confusion matrix accuracy test results on the distribution distribution of mangroves obtained a score of 92.86% and the kappa coefficent of 0.74, and on the classification of health distribution mangrove received a rating of 82,14% and Kappa cofficient of 0.49. The simple linear regression method is again used to test the correlation between the percentage of mangrove canopy coverage using NDVI, and mangrove health. The value of the correlation coefficient (r) of the mangrove density is based on NDVI with mangrove sanity based on MHI of 0.7009 and the determination factor (R2) of 0.4912.