Judul: Dampak Perubahan Iklim terhadap Potensi Kebakaran Hutan dan Lahan di Kabupaten Kapuas berdasarkan Proyeksi Model Iklim Regional
Abstrak: Indonesia's forests located in Kalimantan are often burned due to high fire potential. Therefore, Indonesia often suffered from loss of biodiversity, financial, health, and production of oxygen. Accumulation of CO2 particles in the atmosphere is continuously increasing, leading to the warming of global and regional temperatures that could impact on the increase of forest and land fire potential. This study found that the meteorological parameter that could increase the probability of forest fires is the maximum air temperature with coefficient determination of 94%. Modeling of climate change scenarios using Regional Climate Model (RegCM) was conducted in this study to project the future change of maximum temperature in Kapuas. Short-term climate projections using RCP4.5 scenario shows the increase in the fluctuation and variability of maximum temperature. The average maximum temperature in 2010–2029 increased from 0.12 to 0.59ᵒC per four years from 2006-2009. This increase led to the increase of forest and land fires potential in the future. The number of active fires in Kapuas are expected to increase in the future from 0.5 to1.5 times of the active fire in 2001-2012 periods.
Keyword: RegCM, RCP4.5, forest and land fire, climate change

Judul: Analisis Pola Sebaran Titik Panas dan Pemodelan Spasial Kerentanan Kebakaran Hutan dan Lahan di Kabupaten Kapuas, Kalimantan Tengah
Abstrak: Land and forest fires in Indonesia become a serious problem since 1982/1983. Kapuas District is one of districts in Central Kalimantan which often experiences land and forest fire. Aim of this research is to analyze the distribution of hotspot in Kapuas District, to identify the driver factors which cause land and forest fire, to build spatial modeling and to map land and forest fire vulnerability index in that area. A Composite Mapping Analysis (CMA) method was used to build spatial modeling. The maximum distribution of hotspot during 2005 to 2012 occured in 2006 and 2009, and it was estimated due to the influence of El-Nino, so the intensity of the land and forest fire increased. Dominant driving factors of land and forest fire vulnerability from the highest to the lowest are depth of peat, distance to central village, land use/cover, road distance, and river distance. Depth of peat is a factor that has a higher influence than others factors. The best spatial modeling for vulnerability of land and forest fire is a model with 5 factors, those are depth of peat, distance to central village, land use/cover, road distance, and river distance. The result of land and forest fire vulnerability mapping showed that high to the very high vulnerability index of the Mantangai sub-district in very large region.
Keyword: land and forest fires vulnerability index, land use/cover, CMA, land and forest fires, hotspot

Judul: Optimization of Alginate-Chitosan Microcapsules Formation for Leydig Cells Encapsulation
Abstrak: Hypogonadism is a clinical condition characterized by low concentrations of testosterone. It is caused by malfunction of Leydig cells in producing testosterone. Encapsulation method will protect the transplanted cells from the immune system rejection. The aims of this study was to optimize the formation of microcapsules for Leydig cells encapsulation. The microcapsules were made of alginate and chitosan as the first and the second coating agents, respectively. The result showed that the minimum concentration of alginate was 1.5% (w/v) with a viscosity of 33.8 cPs, resulted spherical microcapsules with diameters of 230-270 µm. The optimum concentration of chitosan as the second coating agent was 0.5% (w/v), resulted spherical microcapsule with mechanical stability in 4 hours. Leydig cells can be trapped inside the capsule with a density that proportional with concentration of cells used in the encapsulation.
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