Judul: Analysis Of Education Inequality And Its Impact On Economic Growth In Riau Province.
Abstrak: Besides physical capital and labor, human capital is one of important factors in stimulating economic growth. Schultz (1962) is one of the pioneers who emphasizes the importance of human capital. Previous research tends to put human capital as an indirect factor in economic growth and it is incorporated with the advancement of technology. Mankiw et al. (1992) place human capital in the Solow model as a separate factor from physical capital and labor. Thomas et al. (2001) state that education indicators are less effective in describing educational inequality. Therefore, it needs other tools to measure education inequality. One emerging tools is education gini as a proxy of human capital inequality. Previous research linking human capital inequality and economic growth is still limited in the region levels. This study aims to fill the gap by analyzing the impact of human capital inequality in Riau Province. GDP per capita of Riau Province was the the sixth ranked in Indonesia in 2011 with the value about Rp 9 123 million. However this achievement was not followed by educational attainment. This is indicated by mean of school years in Riau Province below mean of school years Maluku Province (8.7 years). In fact he value of GDP per capita in Maluku Province was the second lowest compared to other provinces in Indonesia. Therefore, this study aims to: (1) calculate educational inequality in Riau Province; (2) analyze the impact of education inequality on economic growth in Riau Province. The area of this study covers 11 districts in Riau Province during 2005-2011. This study uses the raw data of National Socioeconomic Survey (Susenas) conducted by the Central Bureau of Statistics (BPS), secondary data such as GDP by industry sector and other supporting data is also utilized. Method to answer the first objectives is gini index of education adopted from Thomas, et al (2001). The second objective is analyzed by using a static panel data regression analysis which the exogenous variable are gini education, mean of school years, population, ratio of road length and the share of industries to GDP. Results of gini education show that education inequality in Riau Province is relatively low over the period 2005-2011 as indicated by gini index below 0.3. Based on static panel data analysis with Fixed Effect Model (FEM). The study finds that education gini, ratio of road length and share of industrial sector to GDP are significant negatively affect on economic growth. This study suggests: (1) government policy is not only concern in educational attainment but also in education inequality, (2) further research can use other inequality measurement such as Theil index and atkinson index.
Keyword: Education inequality, economic growth, static panel data

Judul: Analisis Peran Pendidikan Dalam Mengatasi Ketimpangan Distribusi Pendapatan Indonesia
Abstrak: Income inequality is one of the major development problem that can be solved through development of human resources. It was done by improving the quality of human capital through education. This study aims to explain the income inequality and the development of education in Indonesia and also to analize the role of education towards the reduction of income inequality by using panel data method. The data of this study includes 33 provinces in Indonesia during the years 2006 until 2011 is using variables : gini index, average length of school, the number of dropouts by level of education, GDP per capita, the ratio of government expenditure from education sector, and labor productivity. This study finds that school enrollment rates, average length of schools, the number of school dropouts in senior and junior high school, and GDP per capita have positive effect whereas other variables have negative effect with income inequality. The government needs to create the educational curriculum that can improve the skills thus economic independence and social welfare can be increased.
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Judul: Infeksi Virus Parainfluenza Pada Anjing
Abstrak: Virus parainfluenza anjing termasuk famili Paramyxoviridae, berbentuk pleomorf dengan ukuran bervariasi (bergaris tengah antara 100-500 nm), berpembungkus peka ether, berisi genom RNA dan secara serologis mempunyai kesamaan dengan virus SV-5 kera; dikenak sebagai salah satu kausa penting dari sindrom "kennel cough". Infeksinya dapat mengenai anjing semua umur yang belum pernah terinfeksi atau mendapatkan vaksinasi mengakibatkan gejala klinis ringan yang terbatas pada traktus respirasi atu infeksi yang secara klinis tidak memperlihatkan gejala nyata. Gejala klinis yang nampak setelah masa inkubasi (1-5 hari) terlewati berupa batuk yang tidak berat selama beberapa hari, berbagai tingkat tonsilitis dan pharyngitis dan kadang-kadang ditemukan kenaikan temperatur rektal antara 1-2 derajat C dari temperatur normal rat-rata. Anjing terinfeksi mengandung virus pada traktus respirasi bagian atas dan bawah serta limfonoduli sampai hari ke 9 setelah infeksi. Penyebaran virus antar anjing terjadi secara aerogen.
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