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: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
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