Judul: Lintasan dan Model Spasial Deforestasi di Kalimantan Periode 2000-2013
Abstrak: Carbon emissions in Indonesia was contributed by the forestry sector. Yet, forest absorbs carbon emissions by photosynthesis processes and stores it in the forest biomass. This conditions causes the forestry sector could played a main role in the efforts to reduce global warming. Emission in forestry sector is mainly caused by deforestation for various purposes. Sustainable forest management approaches as important mechanisms to ensure balance in the use of forest resources for humans and the environment. Kalimantan island has large forest cover and has high rate deforestation. The trajectory and spatial model of deforestation was expected to provide more detailed information about the phenomenon of deforestation in Kalimantan that could be organized on sustainable forest management planning. This study used time-series land cover data from Ministry of Forestry in 2000–2013 and validated with SPOT 5/6 images in 2013. land cover data was used to analyzed the trajectory and spatial model of deforestation. The spatial model of deforestation were developed using logistic regression with data in 2000–2006 and then implemented in 2006–2013. The variables that used to predicted influence on the models were slope, altitude, peatlands, distance from forest edge, distance from plantations edge, distance from road, distance from river, farmer households, human population and Gross Regional Domestic Product (GDRP). Trajectory analysis of deforestation in Kalimantan in the period 2000-2013 suggests that a deforested has not been optimally exploited because most of land cover were still in the form of shrubs until the end of the period. The results of logistic regression analysis that obtained spatial model of deforestation in Kalimantan Pi = 1.1480714 - (0.033262*slope) - (0.002242*elevation) - (0.000413*distance from forest edge) + (0.000045*GDRP). The result of validation test of deforestation model in 2000–2006 has a value of overall accuracy about 79.64% and model of deforestation in 2006–2013 has value of overall accuracy about 77.01%.
Keyword: trajectory, spatial model, logistic regression, deforestation, Kalimantan

Judul: Model Dinamika Simpanan Karbon Kawasan Hutan di Provinsi K Kalimantan Barat
Abstrak: The issue of global warming is growing, that putting forests as one of solutions to decrease the concentration of greenhouse gases (GHGs) in the atmosphere. This study describes the tendency of the usage and utilization of forest areas on west Kalimantan province and its relationship to the stock of carbon in forest areas by using system dynamic method. The simulation of model until 2011 shows the occurrence of deforestation that causes loss of stock carbon 0f 62,74 megatons. The simulation of model up to 2050 on Business as Usual (BAU) will cause carbon stock losses amounted to 162,82 mega tons due to land conversion activities. The rate of forest degradation trough the year 2011 has resulted in carbon stock losses about 300 megatons or equivalent to 27,28 megatons/year. The simulation up to 2011 showed the value of plantation forest carbon stock reach 42,96 megatons. This number will continue to increase until it reaches 84,23 megatons by 2050. The application of Reduced Impact Logging (RIL) scenario, forest plantation harvesting cycle, and provincial conservation policy practice can reduce loss of carbon stock rate.
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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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