Judul: Dampak Gerak Penduduk Desa-Kota Terhadap Daerah Asal
Abstrak: Suatu gejala gerak penduduk yang dewasa ini menarik untuk ditelaah ialah gerak penduduk desa-kota yang senantiasa terus meningkat. Disisi lain penelitian yang memberikan perhatian terhadap masalah dampak gerak penduduk relatif masih belum banyak. Kedua hal di atas melatarbelakangi dan mendorong dilakukannya penelitian ini.
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Judul: Gerak Penduduk Wanita Pedesaan pada Komunitas Pertanian Lahan Kering
Abstrak: Suatu fenomena gerak penduduk yang sampai saat inikurang mendapat perhatian adalah gerak penduduk pedesaan berpola pertanian lahan kering. Di sici lain, penelitian yang memberikan perhatian terhadap masalah gerak penduduk wanita relatif masih terbatas. Kedua ha1 tersebut melatar belakangi dan mendarong diIakukannya penelitian ini.
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Judul: Prediction of chemical compositions of calophyllum inophyllum l. Seeds by Near Infrared (NIR) method
Abstrak: The objective of this study was to apply NIR method to predict chemical composition of Calophyllum inophyllum L. seeds accurately (moisture, fat, acid number, free fatty acid contents). The reflectance of seeds at the wavelength ranges from 1000 to 2500 nm (4000-10000 cm-1 at intervals of 4 cm-1) were measured by NIRFlex Solids Petri Apparatus. Calibration method which used in this study are principal component regression (PCR) and partial least squares (PLS). Data treatment on the reflectance and absorbance spectrum are used that is: smooth average 3 points, second derivative Savitzky-Golay 9 points, normalization 0-1, combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points, and combination of all data treatment. A number of 70 Calophyllum inophyllum L. seeds were used as samples. Samples were divided into two parts: ± 45 samples (2/3 of total samples) for developing calibration equation and ± 25 samples (1/3 of total samples) for performing validation. NIR data analysis shows that PLS method with NIR reflectance data and the combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points is the best method of calibration and data treatment to predicting moisture contents of Calophyllum inophyllum L. seeds was also prediction with standard error of prediction (SEP) of 0.45% and coefficient of variability (CV) of 0.81%. Prediction of fat contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the reflectance data, and the combination both of smooth average 3 points and second derivative Savitzky-Golay 9 points was also prediction with standard error of prediction (SEP) of 0.37% and coefficient of variability (CV) of 0.62%. Prediction of acid number contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the absorbance data, and the second derivative Savitzky-Golay 9 points data treatment was also prediction with standard error of prediction (SEP) of 0.04% and coefficient of variability (CV) of 0.09%. And prediction of free fatty acid contents of Calophyllum inophyllum L. seeds best obtained with the PLS method, the reflectance data, and the combination was all data treatments was also prediction with standard error of prediction (SEP) of 0.04% and coefficient of variability (CV) of 0.18%.
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