Judul: Pengenalan citra wajah menggunakan algoritme VFI5 dengan praproses principal components analysis
Abstrak: Pattern recognition is a scientific discipline for the classification of objects into a number of categories or classes. Today, one of the intensive researches in the field of pattern recognition is face recognition. In this research, we tried to perform face recognition by using Voting Feature Interval 5 (VFI5) classification algorithm. VFI5 algorithm is an algorithm that represents a description of a concept by a set of feature intervals and performs classification based on the voting feature. Features used in this research were generated from gray level face images. The face image dimension is 112×92 pixels which means there will be 10304 features which caused difficulties to achieve better accuracy with less storage and computational complexity. For that, Principal Components Analysis is used to reduce the dimensions. This is done by projecting an image on eigenface. Eigenface is obtained by projecting training data on eigen vector. Experiments were performed by using cross validation. Ten fold cross validation was used as cross validation technique with 10 repetition of single observation from the original sample as the validation data and the remaining as training data. The result of 10 observations subset are respectively 80%, 100%, 90%, 100%, 90%, 100%, 100%, 90%, 100% and 90%. Resulting in an average accuracy of 94%. We conclude the VFI5 algorithm good at recognizing face images.
Keyword: Image processing, Face recognition, Principal components analysis, VFI5 algorithm, Bogor Agricultural University, Institut Pertanian Bogor, IPB

Judul: Pengenalan wajah dengan partisi citra menggunakan VFI5 berbasis histogram
Abstrak: Research in face recognition is motivated not only by the fundamental challenges this recognition problem poses but also by numerous practical applications where human identification is needed. Face recognition, as one of the primary biometric technologies, became more important owing to rapid advances in technologies such as digital cameras, the Internet and mobile devices, and increased demands on security. Face recognition has several advantages over other biometric technologies: It is natural, non intrusive, and easy to use. There are two predominant approaches to the face recognition problem: geometric (feature based) and photometric (view based). A classification algorithm, called VFI5 (Voting Feature Intervals), is developed and applied to problem of face recognition with partition based on histogram. VFI5 represents a concept in the form of feature intervals on each feature dimension separately. Classification in the VFI5 algorithm is based on a real-valued voting. Each feature equally participates in the voting process and the class that receives the maximum amount of votes is declared to be the predicted class. The performance of the VFI5 classifier is evaluated empirically in terms of classification accuracy. Conclusion of this research indicates that VFI5 can be used for face recognition with high accuracy the level.
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Judul: Salinity influence to mercury toxicity and the effect to milkfish (Chanos chanos Forsskal) physiologic conditions
Abstrak: Mercury is a very dangerous heavy metal that can damage nerve and enzyme system in fish body. This research aimed to knows mercury toxicity to milkfish with different salinity. It consisted of two steps; they were preliminary research (range value test and acute toxicity test) and main research (the salinity influence of mercury toxicity and milkfish’s physiologic condition). Range value test was done in fresh water consisting of five treatments (0, 0.006, 0.06, 0.6 and 6 mg Hg/l). Acute toxicity test also consisted of five treatments (0, 0.110, 0.195, 0.347 and 0.618 mg Hg/l). Moreover, main research consisted of one control and three treatments with three replications at the same concentrate of mercury 0.012 mg Hg/l. Those treatments were salinity 0 ppt, 10 ppt and 20 ppt. The result demonstrated that LC50 96 hour in fresh water was 0.147 mg Hg/l. The main research showed that mercury can increased osmotic gradient, decreased oxygen consumption rate, increased blood glucose rate, decreased hematologic conditions, growth rate, feeding efficiency, and survival rate. Mercury is collected in body gland, for example in gill and liver. Treatment C (10 ppt) showed better physiologic conditions than other treatments. The effect of mercury toxicity would get minimal while maintained at optimal salinity.
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