Judul: Spatial Regression Approach in Determining Factors Affecting Percentage of Human Trafficking Victims inWest Java.
Abstrak: The spatial dimension plays a key role in many social phenomenons such as poverty, pollution, disease, crime and others. Social phenomenon in certain areas is influenced by the social phenomenon in other locations. One of the interesting social phenomenons that will be studied in this research is human trafficking in West Java. The aims of this study are to identify the spatial effects on percentage of human trafficking victims, and to determine the factors which affected percentage of human trafficking victims in West Java in 2010. The existence of spatial relationship information between district/municipality led to need to accommodate the spatial variability in the model, so that the model used were spatial regression models. Based on the analysis, spatial effect influential significantly the percentage of human trafficking victims. The hotspot for human trafficking victims were Cimahi Municipality, Bandung Municipality and Bandung District. The best model to accommodate spatial effect in this study was General Spatial Model (GSM) with AIC-value=-361.46 and R2a=71.34%. Based on GSM obtained the indepen-dent variables or factors which significantly affected percentage of human trafficking victims in West Java in 2010 for α=0.05 as follows: the average of population with divorce status, the average of population with local migrant status, and the average of population with maximum education in Junior High School.
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Judul: Model regresi spasial untuk deteksi faktor-faktor kemiskinan di Provinsi Jawa Timur
Abstrak: Poverty is one of the biggest problems in Indonesia. An approach to overcome this problem is to determine the factors that affect poverty usually using ordinary least square regression model (OLS). However, poverty is not only influenced by explanatory variables but also by various aspects related to surrounding locations. Therefore, this research employed spatial regression models, i.e. Spatial Autoregressive Models (SAR), Spatial Error Models (SEM), and Spatial General Models (SGM). Contiguity matrix is as spatial weighting matrix. The model selection criteria are the coefficient of determination (R2), slope regression of dependent variable to its estimator and the value of RMSE (Root Mean Square Error). The results show that SAR is better regression model than OLS and the factors that affect poverty are the percentage of people who did not complete primary school (SD), the percentage of people who drink another kind of water instead of drinking water, and the percentage of people who live in unhealthy houses with floor area at least 8 m2 per capita.
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Judul: Sintesis kompleks salen Cu/Ni sebagai katalis oksidasi gliserol
Abstrak: Biodiesel sebagai salah satu alternatif pengganti minyak bumi telah menghasilkan produk samping berupa gliserol kasar. Salah satu cara pemanfaatan adalah dengan mengoksidasinya menjadi dihidroksiaseton menggunakan kompleks senyawa salen yang telah dihidrogenasi dengan logam atom pusat Cu dan Ni. Katalis yang dihasilkan dicirikan menggunakan spektrofotometer inframerah transformasi Fourier dan spektrofotometer serapan atom. Kinerja kedua katalis dalam mengoksidasi gliserol telah dibandingkan dengan baik dalam penelitian ini. Oksidasi gliserol dilakukan dengan tambahan katalis sebanyak 5 mol% gliserol dalam campuran gliserol-asetonitril. Reaksi dilakukan dengan melewatkan gas oksigen selama 4 jam pada suhu ruang dalam campuran tersebut. Hasil oksidasi dianalisis menggunakan kromatografi cair kinerja tinggi. Puncak kromatogram dari hasil oksidasi yang muncul setelah menit ke-9 menunjukkan terjadinya perubahan gliserol. Produk oksidasi gliserol diduga memiliki gugus fungsi keton karena nilai Rf-nya lebih besar daripada gliserol, yang menandakan senyawa tersebut lebih nonpolar daripada gliserol. Kromatogram yang diperoleh menunjukkan bahwa aktivitas katalis Cu(salen) mengoksidasi gliserol lebih baik ditinjau dari rendemen produk yang dihasilkan dibandingkan dengan Ni(salen). Oksidasi baik dengan Cu(salen) maupun Ni(salen) menghasilkan satu produk oksidasi.
Keyword: Katalis, Ligan salen, Biodiesel