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.
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Judul: The Problem of Poverty in Central Java Province and Policy Suggestions to Reduce It
Abstrak: Provinsi Jawa Tengah masih berkutat dengan masalah kemiskinan yang tinggi. Provinsi Jawa Tengah menjadi salah satu provinsi di Indonesia dengan penduduk miskin yang tinggi di Pulau Jawa pada tahun 2021. Penelitian ini bertujuan untuk menganalisis masalah kemiskinan di Provinsi Jawa Tengah serta saran kebijakan untuk menguranginya. Penelitian ini menggunakan regresi data panel 35 kabupaten/kota di Provinsi Jawa Tengah tahun 2017-2021. Metode yang digunakan adalah metode analisis kualitatif deskriptif dan kuantitatif dengan analisis regresi data panel dengan Fixed Effect Model (FEM). Hasil estimasi penelitian menunjukkan bahwa variabel pertumbuhan ekonomi, jumlah penduduk, tingkat pengangguran terbuka, indeks pembangunan manusia, dan rata-rata lama sekolah berpengaruh signifikan terhadap kemiskinan di Provinsi Jawa Tengah. Hal ini perlu diatasi dengan kebijakan program dari pemerintah pusat maupun pemerintah daerah untuk dapat mengentaskan jumlah penduduk miskin yang masih tinggi. Berdasarkan penelitian ini dapat disarankan bahwa kebijakan yang dilakukan untuk menurunkan jumlah penduduk miskin melalui pengendalian jumlah penduduk dengan program keluarga berencana., Central Java Province is still struggling with the problem of high poverty. Central Java Province is one of the provinces in Indonesia with a high poverty population on the island of Java in 2021. This research aims to analyze the problem of poverty in Central Java Province as well as policy suggestions to reduce it. This research uses panel data regression for 35 districts/cities in Central Java Province in 2017-2021. The method used is descriptive qualitative and quantitative analysis methods with panel data regression analysis with the Fixed Effect Model (FEM). The research estimation results show that the variables of economic growth, population, open unemployment rate, human development index, and average length of schooling have a significant effect on poverty in Central Java Province. This needs to be addressed with program policies from the central government and regional governments to be able to eradicate the still high number of poor people. Based on this research, it can be suggested that policies should be implemented to reduce the number of poor people through controlling the population with the family planning program.
Keyword: Fixed Effect Model (FEM), Jawa Tengah, Kemiskinan, Regresi Data Panel

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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