Judul: Estimating the Potential of Above-Surface Biomass in the Mbeliling Forest Area of East Nusa Tenggara Using Landsat 8 Satellite Imagery
Abstrak: Pemanasan global terjadi akibat akumulasi gas efek rumah kaca seperti CO2, CH4, NO2, HFCs, PFCs, dan SF6 di atmosfer. Hutan memiliki peran sebagai penyimpan dan penyerap karbon, hal ini sangat penting dalam mengatasi terjadinya pemanasan global yang diakibatkan oleh gas rumah kaca. Penelitian ini bertujuan menduga potensi biomassa menggunakan indeks vegetasi dan nilai digital Citra Landsat 8 serta membuat peta sebaran biomassa berdasarkan model pendugaan terbaik. Penghitungan biomassa lapangan menggunakan rumus allometrik. Model regresi terbaik dipilih berdasarkan parameter uji-F, nilai koefisien determinasi (R2), nilai koefisien determinasi terkoreksi (R2-adj) dan nilai RMSE. Model regresi Multiplikatif terpilih menjadi model terbaik dengan persamaan Y = 10^-1.576 x BAND6^-0.673 x BAND9^-1.176., Global warming occurs due to the accumulation of greenhouse gases such as CO2, CH4, NO2, HFCs, PFCs and SF6 in the atmosphere. Forests have a role as a carbon store and absorber, this is very important in overcoming global warming caused by greenhouse gases. This study aims to estimate the biomass potential using the vegetation index and digital values of Landsat 8 imagery and to create a biomass distribution map based on the best estimation model. Calculation of field biomass using the allometric formula. The best regression model was selected based on the F-test parameters, the value of the coefficient of determination (R2), the value of the corrected coefficient of determination (R2-adj) and the RMSE value. Multiplicative regression model was chosen to be the best model with the equation Y = 10^-1.576 x BAND6^-0.673 x BAND9^-1.176 .
Keyword: biomass, citra landsat 8, mapping, regression

Judul: Pendugaan Biomassa Hutan Menggunakan Citra Resolusi Sedang (Studi Kasus: Hutan Lahan Kering Sekunder Kalimantan Timur)
Abstrak: Perubahan iklim merupakan masalah yang terjadi saat ini yang disebabkan oleh pemanasan global dan dapat diatasi salah satunya dengan menjaga tutupan hutan yang memiliki simpanan biomassa. Perlindungan terhadap biomassa hutan dapat mengurangi emisi karbon dari sektor lahan. Pendugaan nilai biomassa tidak perlu menggunakan cara destruktif, menggunakan citra satelit dapat dijadikan suatu alternatif. Tujuan penelitian untuk memperoleh model penduga biomassa hutan lahan kering sekunder di Kalimantan Timur dan membuat peta sebaran biomassa. Pembuatan model dilakukan secara digital menggunakan indeks vegetasi citra satelit landsat 8 dan data plot lapang menggunakan 39 plot data sekunder berasal dari program FCPF. Pembuatan peta sebaran biomassa dilakukan menggunakan 3 model terbaik. Penelitian ini menghasilkan model terbaik persamaan linier dengan indeks vegetasi GNDVI, dengan persamaan B = 3768,539 GNDVI - 1209,709 yang memiliki R2 sebesar 42,6%., Climate change is a current problem caused by global warming and can be addressed one of which by maintaining forest cover which functions as biomass storage. Protecting forest biomass can reduce carbon emission from the land sector. Biomass estimation is not only estimated by using a destructive method, satellite imagery can also be used as an alternative. The research objective is to develop biomass estimator model in dryland secondary forest and generate a biomass distribution map. Biomass model was developed based on vegetation index of landsat 8 satellite imagery and field data plot using secondary data of 39 plots from the FCPF program. Biomass distribution map was produced using best three models. This research shows that the best model is linear equation model with GNDVI vegetation index, with equation of B = 3768,539 GNDVI - 1209,709 and R2 value of 42,6%.
Keyword: biomass, biomass distribution map, regression model, vegetation index

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