Judul: Analisis Spasial untuk Sebaran Suara dan Perolehan Kursi Partai Politik pada Pemilu Legislatif 2009 di Wilayah DKI Jakarta dan Jawa Barat
Abstrak: In terms of election, voters behavior within a certain area varies widely and produces various responses of party preferences. This thing indicates that there is an influence of spatial on voters’ preferences besides other variables and factors innate in every individual. What is interesting is that in legislative contest, changes in districts as a spatial factor that can result in different vote accumulations that can impact different seat gain. Therefore there is a deterministic technical aspect to be emphasized which are the technical mechanism and regulations of district creation. This research used Local Indicator Spatial Association (LISA), statistical method based on Local Moran Index, to prove the influence of those two factors on the result of party votes and seats in the Election of 2009.
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Judul: Spatial Regression Analysis to Evaluate Indonesian Presidential General Election
Abstrak: Indonesia has held two presidential elections in 2004 and 2009. The result of these elections shows that number of voter abstention is very high. On the first term of 2004 presidential election, about 21.77% of official voters were abstain. On the second term, it increased to 23.37%. Five years later, the number of voter abstention was still high which increased to 27.19%. This research aims to identify spatial pattern and spatial relationship of 33 provinces that produce voter abstention number in the 2009 presidential elections and to identify voter characteristics. The data used are secondary data from General Election Commision of Indonesia (KPU) for an official result of 2009 presidential election and Central Bureau Statistics of Indonesia (BPS) for characteristics of provinces. The results of this research show that there is positive spatial autocorrelation for voter abstention data, which means that there are similiar proportion of provinces to their neighbors in Indonesia. Provinces that are significant to spatial autocorrelation are Riau, Riau Islands, West Sumatera, Central Kalimantan, and Gorontalo. According to significant provinces, there are not province identified as hotspot or coldspot observation. Determining factors that are significantly affected to voter abstention using Spatial Error Model (SEM) is better than Spatial Autoregressive Model (SAR) and Multiple Linier Regression. There are six significant explanatory variables, i.e. percentage of poor people, monthly average of wage/salary/income of employee, mean years of schooling population 15 years of age and over, human development index, school enrollment ratio 16-18 years of age, and life expectancy at birth.
Keyword: voter abstention, spatial error model, spatial autocorrelation, k-nearest neighbor, election

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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