Judul: Identifikasi Plat Nomor Dengan Principal Component Analysis Menggunakan Metode Jaringan Syaraf Tiruan Propagasi Balik
Abstrak: Along with the very development of digital image processing technologies makes identification of motor vehicle plate image into one of the computer techniques which is often developed. Referring to the previous research done by Lesmana (2012), the research used the image centroid and zone (ICZ) to recognize vehicle plates that canreduce plates into the average with 82.50%. Data plate which is used in this research is plates on motor vehicles in Baranangsiang IPB taken by amobile phone camera with a resolution 5 megapixel (MP). In this research, the best accuracy is 40.99% smaller than the previous research. It can be concluded that the reduction by Principal Component Analysis (PCA) is not very good for image processing on vehicle number plates.
Keyword: Bogor Agricultural University (IPB), Number Plate, Backpropagation, Neural Network

Judul: Identifikasi Plat Nomor Kendaraan Dengan Zone Based Feature Extraction Menggunakan Metode Klasifikasi Bacpropagation
Abstrak: Automatic license plate identification is one of the important features required for vehicle data recording system to be use in applications such as parking system, automatic highway gate system, etc. Several research has been conducted to devise a reliable method to identify vehicle license plate. In this research, we aim to implement an automatic license plate identification system using the zone based feature extraction method and artificial neural network for classification. The data is obtained from 100 units of vehicle using a 5 MP mobile phone camera. The preprocessing step consists of converting the images to grayscale, followed by noise reduction using median filter, edge detection using Canny with a threshold of 0,2 and 0,5. Afterwards, we perform segmentation using 8-connected labelling component to obtain the characters. The zone based feature extraction used is image centroid and zone using the most efficient zone. The fastest and the highest accuracy will be choosen as the most efficient zone. In this research 14 zone extraction have an efficient result. We used the backpropagation neural network with 25 input neurons, 30 hidden neurons, and 36 output neurons representing each characthers (alphabet and numerals). The best result for indvidual character recognation is 85,32% while the best recognition rate for the whole plate is 40,61%
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Judul: Mercury Toxicity and It’s Effect on Histopathology Change of Nile Tilapia (Oreochromis niloticus).
Abstrak: Nile tilapia (Oreochromis niloticus) is one of fish species that oportunity to contaminated with mercury. The effects of pollutants can damage living organisms organs and can cause death. The effects caused mercury had acute or chronic character. The aims of this study are to determine threshold and acute toxicity of mercury chloride (HgCl2) of Nile tilapia (Oreochromis niloticus), to assess the effect of mercury chloride (HgCl2) on several biometric parameters (survival, growth rate of average daily weighted, liver condition, bile and reproductive variability of Nile tilapia (Oreochromis niloticus), assess the level of damage to the histological structure of the gills, liver and kidney of Nile tilapia (Oreochromis niloticus) caused mercury chloride (HgCl2) exposure. This study was conducted from February to June 2013. Nile Tilapia (Oreochromis niloticus) were used in this study were female with average weight 20 grams or 11-13 cm length range. Toxicant materials used in this study was mercury chloride (HgCl2). Fish were reared in each aquarium 60x40x30 containing 48 liters of water. This study consists of three stages: a preliminary test, acute test, and sub-chronic test. To determine the changes in biometric condition of tilapia approximated by measuring the survival rate (SR), the growth rate of average daily weight , the content of mercury in the fish organs, hepatosomatic index (HSI), the relative bile volume (VER), gonadal soamtic index (IKG), fecundity and oocit diameter, tissue damage caused by mercury in fish organs by making histological preparations stained with hematoxylin and eosin. The median lethal concentration (96 hr, LC50) of Mercury Chloride was calculated as 1,64 mgL--1.The survival rate was highest in the control treatment (46,67 %) . Mercury chloride with concentration 0.196 mgL--1 show significant effect to changes HSI and relative bile volume, and oocyte diameter of Nile tilapia (p < 0,05). Mercury chloride with a concentration of 0,164 mgL-1 and 0,196 mgL-1 have not a significant effect on the growth rate of weight, gonadal somatic index and fecundity of Nile tilapia (p > 0,05). Mercury chloride cause damage to gills (hyperplasia, hypertrophy, proliferation and neukrosis), liver (hyperplasia, hemorhage, shrinkage of hepatocytes, proliferation and neukrosis) and kidney (hyperplasia, hemorrhage, shrinkage of the glomerulus, proliferation and neukrosis).
Keyword: Nile tilapia, Hepatosomatic indexs (HSI), histopathology