Judul: Analisis Keterkaitan Pertumbuhan, Pengangguran dan Ketimpangan terhadap Kemiskinan Provinsi Jawa Tengah 2004-2010
Abstrak: The issues about the benefit of growth for the poor have been a priority in development policy. Poverty reduction can be achieved by income growth and distribution. The objectives of this study are to analize the relation between income percapita growth, unemployment and inequality on poverty reduction in Central of Java Province and to identify the determinant of those factors. Using Panel Two-Stage Least Square (2SLS), the results show that the income percapita growth is significantly influenced by the the rate of skilled labor growth, mean years schoolling of labor, the invesment, the quality of transportation and electrical infrastructure, and government spending on investment. The unemployment growth is positively influenced by the growth in skilled and unskilled labor supply and negatively by income percapita growth. The change in income inequality is positively influenced by income percapita growth, education inequality, price index and negatively affected by government spending on investment. The income percapita growth has the largest impact on poverty reduction, but its effectiveness reduced by the growth in unemployment and price index. In the period of 2004-2010, economic growth in Central of Java Province was not pro poor.
Keyword: 

Judul: Pro poor growth tingkat provinsi di indonesia, Pro Poor Growth at Province Level in Indonesia
Abstrak: Economic growth should provide benefits to the poor, so they have opportunities to improve their economic condition or called pro poor growth. The purpose of this study: to analyze the growth and distribution effect of poverty reduction by province, to analyze pro poor growth by province, and determine factors that influenced pro poor growth or poverty reduction. The main data which used in this research is annual income percapita data during 2005-2009 from national economic and social surveys at household level. The research methods are descriptive analysis, shapley decomposition of poverty analysis, poverty equivalent growth rate (PEGR) and panel data analysis. Study shows that during 2005-2009, economic growth tends to decline with increasing income inequality, and affects diversity of poverty reduction in province level. The economic growth is not yet pro poor growth at first periode (2005-2006), and pro poor growth at 2007-2009 periode. Econometric analysis with REM (Random Effect Model) determines that agriculture productivity, education (average of school) and population significantly influence poverty reduction (pro poor growth). Higher agriculture productivity and better education are significant in reducing poverty. In contrast, increasing population means increasing poverty. The advice can be given as follows: the government, especially local government not only geting high growth in their development, but also pay attention to reduce income inequality. Improving the welfare of the poor can be done by increasing agricultural productivity with revitalization of agriculture. Education or human capital of the poor needs to be increased given the positive impact on poverty alleviation. Finally, controlling the population growth rate needs to be intensified related increasing in basic needs and jobs that must be fulfilled as a consequence population growth.
Keyword: 

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.
Keyword: