Judul: Estimasi Emisi Gas Rumah Kaca dari Pertanian, Kehutanan, dan Penggunaan Lahan Lain di Kabupeten Bengkalis, Riau.
Abstrak: Agriculture, forestry and land use change in Indonesia accounted for substantial emissions. This study assumed greenhouse gas emissions based on methods developed by IPCC. Estimation of emissions based on IPCC methods have been developed by the University of Colorado in the form of software called ALU (Agricultural Land Use). Activity data were collected through the survey results, the data of agriculture and forestry. Known land use change data based on satellite data of 2000, 2003, 2006 and 2009. Emission factors used are set by default IPCC 1996, 2003, and 2006 for the region corresponding to the climate of the study area. Result of research indicate that greenhouse gas emissions sector agriculture, forestry and land use change yielded from 6 activity that is emission from loss biomass, emision of change carbon deposit organic land, emission of dinitrogen oxide of land, emission of usage fertilizer and emission from farm. Emission in subprovince of Bengkalis which written down in sixth of activity yield annual emission equal to 6456,82 Gg CO2e. Total emission from sixth this activity mount every year.
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Judul: Estimation Emissions of Carbon Dioxide (CO2) due  to Changes in Land Use in Lampung Province
Abstrak: Perubahan penggunaan lahan berkontribusi dalam peningkatan emisi Gas Rumah Kaca (GRK). Peningkatan emisi GRK memicu pemanasan global yang menyebabkan terjadinya perubahan iklim. GRK yang memiliki persentase terbesar sebagai penyumbang emisi adalah karbondioksida (CO2). Penelitian ini bertujuan mengestimasi emisi CO2 berdasarkan perubahan penggunaan lahan dengan stock difference. Stock difference merupakan metode dalam menghitung emisi melalui perubahan cadangan karbon antara tahun periode awal dan akhir. Cadangan karbon diperoleh dari faktor emisi dan data aktivitas. Faktor emisi berasal dari kandungan karbon yang terdapat pada penutupan lahan dan data aktivitas diperoleh dari peta penggunaan lahan. Peta penggunaan lahan tahun 2003 dan 2013 yang digunakan dalam proyeksi pemodelan menggunakan Land Change Modeler (LCM) pada software Idrisi Selva. Proyeksi penggunaan lahan dengan Multi-Layer Perceptron (MLP) dan Markov Chain. Validasi hasil model menghasilkan akurasi Kappa sebesar 89% sehingga pemodelan dapat digunakan dalam proyeksi peta penggunaan lahan tahun 2030. Perhitungan emisi CO2 di Provinsi Lampung dengan periode 2003 ̶ 2013, 2013 ̶ 2020 dan 2020 ̶ 2030 menghasilkan nilai emisi berturut-turut sebesar 0,053 M Ton, 1,041 M Ton dan 4,925 M Ton. Penyumbang emisi CO2 terbesar yaitu perubahan penggunaan lahan hutan. Melalui nilai estimasi emisi CO2 dapat digunakan sebagai referensi dalam membuat mitigasi dalam penggunaan lahan sebagai upaya penurunan emisi., Land use change contributes to increased greenhouse gas (GHG) emissions. Increased GHG emissions trigger global warming, leading to climate change. The GHG that has the largest percentage as a contributor to emissions is carbon dioxide (CO2). This research aims to estimate CO2 emissions based on land use change using stock difference. Stock difference is a method of calculating emissions through changes in carbon stocks between the initial and final period years. Carbon stocks are obtained from emission factors and activity data. Emission factors are derived from the carbon content of land cover and activity data are obtained from land use maps. The 2003 and 2013 land use maps used in the projection modeling used the Land Change Modeler (LCM) in Idrisi Selva software. Land use projection using Multi-Layer Perceptron (MLP) and Markov Chain. Validation of the model results resulted in Kappa accuracy of 89% so that the modeling can be used in the projection of land use maps in 2030. Calculation of CO2 emissions in Lampung Province with the period 2003 ̶2013, 2013 ̶2020 and 2020 ̶2030 resulted in emission values of 0.053 M Ton, 1.041 M Ton and 4.925 M Ton, respectively. The largest contributor to CO2 emissions is forest land use change. Through the estimated value of CO2 emissions can be used as a reference in making mitigation in land use as an effort to reduce emissions.
Keyword: emissions, carbon dioxide, idrisi selva, land change modeler, stock  difference

Judul: Hydroxyapatite-Chitosan Composite Coating on Stainless Steel 316 to Improve Corrosion Resistance
Abstrak: Metals that were used in bone implantation should have good corrosion resistance that were not easily corroded when implanted into the body. Metal corrosion resistance of stainless steel 316 can be enhanced through the metal coating by hydroxyapatite-chitosan composite with composition ratio of hydroxyapatite (gram) and chitosan 3% (mL) 0.2:0, 0.2:0.1, 0.2:0.5, 0.2:1.0, and 0.2:1.5. Besides improving the corrosion resistance of metal, the presence of chitosan also maintain the position of hydroxyapatite on metal surfaces. Corrosion resistance increases with increasing amount of chitosan added and the best composition of hydroxyapatite-chitosan composite was 0.2:1.0.
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