Judul: Penyusunan Baseline Deforestasi Berbasis Spasial pada Beberapa Kabupaten di Provinsi Jambi
Abstrak: This research was focused on identifying the problem of deforestation in several regencies of Jambi Province. Deforestation was analyzed and detected by using thematic change technique and multitemporal image analysis. The main objective of this research is to build a baseline model of deforestation, deforestation typology, as well as to identify the driving force of deforestation. The district typology was built by clustering method based on the nearest distance with Standardized Euclidean Distance formula. The results of this study indicate that the most significant driving forces of deforestation are population growth and plantation land such as oil palm and rubber plantation. The baseline model of deforestation for the district considered are LHDF = (1.5119 x 10283) Th-84.01391243 for estimating forest area at a certain year with deforestation (deforestation is considered) and LHTD = (5.2406 x 10277) Th-82.33622829 for estimating forest area at a certain year without deforestation (deforestation is considered absent or zero), and the rate of deforestation during the period of 1990-2000 and 2000-2011 are 29 926.14 ha per year and 23 081.22 ha per year, repectively
Keyword: greenhouse gas, deforestation, baseline, clustering, typology

Judul: Penyusunan Baseline Deforetasi Berbasis Spasial di Beberapa Kecamatan Provinsi Jambi
Abstrak: Deforestation and forest degradation are the main problems that affect the accumulation of Green House Gas at the atmosphere. This study describes the development of deforestation tipology on the basis social economic factor at several districts in Jambi Province using clustering method, i.e. Standardized Euclidean Distance. The baseline of deforestation was developed on the basis of timeseries of forest and land cover maps and satellite imagineries from 1990 to 2011. This study found that deforestation typology is significantly affected by population growth, as well as the needs of the agricultural land and plantations (including rubber/oil). This research also found that the baseline model are Lh = (2 x10235) Th-69.49 for predicting forest area with deforestation considered and Lh=(2x10247)Th-69.49 for predicting forest area without deforestation considered (zero deforestation).
Keyword: clustering, green house gas, driving force, tipology, deforestation

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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