Judul: Pengenalan Wajah dengan Citra Pelatihan Tunggal Menggunakan Algoritme VFI5 Berbasis Histogram
Abstrak: Face recognition is one of the biometric methods which is frequently used. One of the approach in face recognition is view based (photometric) approach which represents the information of the image pixels. In this research, information from the image pixels represented using the image histogram. According to Gonzales (2002), histogram are the basis for numerous spatial domain processing techniques. Histogram is used as input to Voting Feature Intervals 5 (VFI5) algorithm. Range of image histogram is 0-255 divided into several intervals. Afterwards, on training stage will be determined the vote value from single training image per person that will be used in the classification stage. The recognition rate is reached 96.3%.
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Judul: Pengenalan Tanda Tangan dengan Citra Pelatihan Tunggal Menggunakan Algoritme VFI5 Berbasis Histogram
Abstrak: Biometrics is the science of establishing the identity of an individual based on the physical, chemical or behavioral attributes of the person. Signature is one of the most common object used in biometric system. In this research, we will use VFI5 algorithm to classify offline signature images. The classification method in this research is only using a single image as a training image. The feature used as the input for VFI5 algorithm is the gray level intensity of the image which represented as a histogram. Then, the histogram is divided into six types of interval. But before dividing the histogram, the images are partitioned into a few parts with fifteen different sizes. The result of this research indicates that images partitioned horizontally have better accuracy than images partitioned vertically. The highest accuracy in this research is 95.56% which is obtained using 15 x 10 pixels image partition. The result of this research also shows that the accuracy of the recognition is influenced by the size and the number of partition.
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Judul: Bioactivity of Essential Oil from Suren (Toona sinensis Roemor) Based on the Brine Shrimp Lethality Test (BSLT)
Abstrak: INTRODUCTION. This study to determine the yield of essential oil from the leaves, heart wood, sap wood and inner bark, and also to determine the bioactivity of essential oil from suren (Toona sinensis Roemor). E ANALYSIS AND METHOD. ssential oil of suren leaves have been tested for use as insecticide. Because of that, essential oil of suren are interesting to studied. Parts of trees that used are the leaves, inner bark, heart wood and sap wood. To generate the yield, the raw materials are destilated using method steam and water. As for determining bioactivity conducted tests on shrimp larvae Artimia salina Leach. through the Brine Shrimp Lethality Test methods. Thin Layer Chromatography Test (TLC) was conducted to estimate the number of compounds contained in the essential oil RESULT AND DISCUSSION. . The results showed that yield of the sap wood is (0.388%), heart wood (0.379%), leaves (0.302%), and inner bark (0.051%), which yield greatest value in the sap wood. The results of bioactivity tests showed LC50 values at the leaf essential oil (11.203 μg/mL), inner bark (6.851 μg/mL), heart wood (3.968 μg/mL), and sap wood (1.293 μg/mL). These results indicate that all essential oils are bioactive against A. salina and sapwood essential oils have the highest bioactivity effect. The results of the analysis by TLC showed that essential oils from various parts of the tree is thought to contain terpenoid compounds. Keyword: Surianwood, cederwood, bioactivity, Artemia salina.
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