Judul: Mapping of Mangrove Distribution and Density Using Sentinel-2A in Bedono Village, Demak Regency
Abstrak: Mangrove merupakan salah satu ekosistem pesisir yang memiliki peranan penting untuk menjaga kestabilan garis pantai dan sebagai tempat habitat bagi biota laut. Penelitian ini bertujuan untuk mengetahui sebaran dan kerapatan mangrove di Desa Bedono, Kabupaten Demak menggunakan Sentinel-2A. Algoritma Maximum Likelihood digunakan untuk mengatahui sebaran mangrove di daerah penelitian. Analisis kerapatan mangrove dihasilkan menggunakan perbandingan hasil uji regresi linear terhadap 3 indeks vegetasi yang berbeda yaitu NDVI, EVI, dan mRE-SR. Klasifikasi mangrove menghasilkan 3 kerapatan yaitu mangrove rapat (20,96 ha), mangrove sedang (23,52 ha), dan mangrove jarang (6,70 ha). Luas total mangrove di Desa Bedono sebesar 51,18 ha. Uji akurasi menggunakan confusian matrix menghasilkan nilai sebesar 89,80% dan nilai kappa coefficient sebesar 0,69. Hasil uji regresi linear sederhana antara data tutupan kanopi mangrove berdasarkan survei lapang dengan EVI menghasilkan nilai koefisien korelasi (r) sebesar 0,85 dan koefisien determinasi (R2) sebesar 0,724., Mangrove is one of the coastal ecosystems that has an important role in coastal stability and as a habitat for marine life. The research aims to determine the distribution and density of mangroves in Bedono Village, Demak Regency, using Sentinel-2A. The Maximum Likelihood algorithm is used to identify mangrove spread in the research area. An analysis of the density of the mangrove was obtained using a linear regression test comparison of three different vegetation indices: NDVI, EVI, and mRE-SR. The classification of mangroves yields three densities: tight mangrove (20,96 ha), medium mangrove (23,52 ha), and rare mangrove (6,70 ha). The total mangrove area in Bedono Village is 51,18 ha. The accuracy test using the confusion matrix yielded a value of 89,80% and the kappa coefficient of 0,69. The result of a simple linear regression test between mangrove canopy cover data based on a field survey with EVI yielded a correlation coefficient value (r) of 0,85 and a determination factor (R2) of 0,724.
Keyword: mangrove, remote sensing, sentinel-2A, Bedono, EVI

Judul: Analysis of Distribution and Density of Mangrove Forests from Sentinel-2B Image Processing in Kurau Region, Bangka Belitung
Abstrak: Kawasan hutan mangrove memiliki manfaat dalam aspek sosial, ekonomi, maupun ekologi. Fungsi fisik hutan mangrove sebagai pengendali intrusi air laut terhadap daratan, kawasan penyanga, dan pelindung garis pantai. Algoritma Maximum Likelihood Classification (MLC) digunakan untuk memetakan sebaran mangrove. Analisis Normalized Difference Vegetation Index (NDVI) digunakan untuk mengetahui indeks kerapatan vegetasi suatu daerah. Dari hasil perhitungan Hutan mangrove di Kurau, Bangka Belitung pada 2021 didapatkan luas total 695.94 Ha yang terbagi menjadi tiga kelas kerapatan, yaitu mangrove padat (446.36 Ha), mangrove sedang (110.43 Ha), dan mangrove jarang (80.58 Ha). Uji akurasi dengan confusion matrix mendapatkan akurasi sebaran sebesar 94.02% dengan kappa coefficient 0.88, dan akurasi kerapatan sebesar 90% dengan kappa coefficient sebesar 0.81. Pengujian korelasi antara data survei kerapatan mangrove dengan NDVI didapatkan nilai korelasi (r) sebesar 0.8299 dan nilai determinasi (R2) sebesar 0.6887., Mangrove areas have benefits in social, economy, and ecology aspects. The physical function of mangrove forests is to control sea water intrusion into land area, buffer areas, and coastlines protector. Maximum Likelihood Classification (MLC) algorithm is used to map mangrove coverage distribution. Normalized Difference Vegetation Index (NDVI) analysis is used to determined the vegetation density index of an area. The results of computations obtained mangrove forest area in Kurau region, Bangka Belitung in 2021 has a total area of 695.45 Ha which is divided into three density classes, namely dense mangrove (446.36 Ha), moderate mangrove (110.43 Ha), and rare mangrove (80.58 Ha). The accuracy test using confusion matrix got a distribution accuracy of 94.02% with a kappa coefficient of 0.88, and a density accuracy of 90% with kappa coefficient of 0.81. The correlation test between mangrove density survey data and NDVI obtained a correlation value (r) of 0.829 and determination value (R2) of 0.6887.
Keyword: Kurau, Sentinel-2B, Area, Density, Mangrove, NDVI, Remote Sensing

Judul: Studi Kasus Liver Neoplasia pada Anjing Shih Tzu
Abstrak: Liver neoplasia is the excessive and uncontrolled replication of hepatocytes that forms nodules visible in ultrasonography. The purpose of this study is to study and discuss the characteristic, diagnosis and treatment of liver neoplasm through the interpretation of ultrasonography and hematology in a Shih Tzu dog. Ultrasonography is conducted with a Chison Q8 ultrasound machine with a 5 to 7 MHz frequency convex probe on lateral recumbency. The blood cells, liver enzymes and nodules sizes were the main parameters in this study. The results in the period of three years from 2021 to 2023 were interpreted and supported with secondary data sources. The Shih Tzu dog is 14 years old in the year 2023 with a body weight of 5.21kg. No obvious clinical signs were observed during previous examinations. However, lethargy, vomiting and anorexia were recorded in its latest examination. Thrombocytosis, granulocytosis, high liver enzymes and hypoglycemia, which are some of the neoplastic clinical manifestations were also presented by this patient. Besides, liver neoplasm, spleen neoplasm and biliary sludge were the sonogram findings of this patient. The liver and spleen neoplasm was observed stable, while the biliary sludge volume fluctuated. The treatment strategy recorded is Ondansetron, Samylin®, Ornipural and Ursodeoxycholic acid.
Keyword: Blood biochemistry profile, Hematology, Liver Neoplasia, Shih Tzu, Ultrasonography