Judul: Face Recognition Using VFI5 Algorithm with Wavelet Transformation.
Abstrak: Biometrik system is the introduction of the system to identify patterns that physiological characteristics a person with determining the autenticity of a specific psysiolagical and/or behavioral characteristic posessed by that person. Not all physiological characteristics can be used on the system biometrik, several characteristics that must be fulfilled that is universal, distinctiveness, permanent, and collectability. Face is one of the physiological characteristics that can not be falsified, therefore this research using biometrik face. Wavelet is an image processing method that can extraction features and the features that are important will not be lost when the image dimension reduction. Wavelet transformation of the image will be used as an input system in the face recognition of this research and mother wavelet used was the Haar wavelet. Method face recognition used of this research is the algorithm Voting Feature Interval (VFI5). VFI5 algorithm is an algorithm that represents the description of a concept by a set of interval values of the features or attributes. Phases of the training VFI5 algorithm produce the intervals, and each features a manner resulting image data represented by pixels on each element of data. Face image used in this research is measuring 92 × 112 pixels. The image of the face will have a wavelet transformation so that will be quarter of the original dimensions, the transformation level 1 produce image measure 46 × 56, the transformation level 2 produce image measure 23 × 28, and so on until level 6 produce image measure 2 × 2. In this research using training data 6 face images and testing data 4 face images. Rank accuracy the wavelet decomposition level increased from level 2 to level 6, different with level 1 if comparing level 2 is lower accuracy. In first level the accuracy is 72,5%, 90% for second level, 85% for third level, 80% for fourth level, 68% for fifth level, and 30% for sixth level. Keywords : image prosessing, face recognition, wavelet transformation, VFI5 algorithm.
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Judul: Signature Recognition using VFI5 Algorithm and Wavelet Preprocess.
Abstrak: Biometric is a science in recognizing the identity of a person based on their physical or behavioral traits. Today, one of the most widely applied biometric object is hand-written signature. In this research, we tried to identify offline handwritten signature using VFI5 (Voting Feature Intervals 5) classification algorithm. The VFI5 classification algorithm has been used previously on non-image objects with promising result. The feature used in the classification is the grayscale value of the image and the signature image dimension used in this research is 40×60 pixels which means originally there are 2400 features that relatively large to compute. Thus, Haar wavelet transform is used to reduce the dimension. This is done by taking only the approximation image of the transformation result, and leave the horizontal, vertical, diagonal details. The wavelet decomposition is applied until the fifth level, creating new low level images with 20×30, 10×15, 5×8, 3×4, 2×2 dimension respectively for the first, second, third, fourth, and fifth decomposition levels. The approximation images then classified using VFI5 algorithm, with 97.5%, 95%, 90%, 65%, and 62.5% accuracy respectively for the first, second, third, fourth, and fifth decomposition levels. It turned out that VFI5 algorithm can be used to identify images with wavelet transform to reduce the image dimension with good result, and the higher decomposition level applied, the more accuracy dropped. Keywords: signature identification, wavelet image dimension reduction, image classification, VFI5 algorithm.
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Judul: Sarkosporidiosis pada sapi yang di sebabkan oleh sarcocystis cruzi
Abstrak: Sarkosporidiosis merupakan penyakit protozoa yang dapat berjalan akut dan kronis. Sarkosporidiosis pada sapi dapat diakibatkan oleh 3 jenis sarkosporidea dengan S. cruzi yang bersifat patogen dan paling banyak menyerang hewan sapi. Kejadian sapi yang terserang, mempunyai hubungan dengan umur dan musim. Sapi dari segala umur dapat terserang, tetapi sapi dengan umur di atas 2 tahun lebih banyak terserang. Mengenai musim, di Indonesia kejadian sarkosporidiosis lebih banyak terjadi pada musim hujan, dan kejadian di Eropa lebih banyak terjadi pada musim semi dan musim panas. Siklus hidup S. cruzi harus mempunyai dua induk semang yaitu herpifora sebagai induk semang antara dan karnifora sebagai induk semang akhir. Secara morfologi, hanya kista yang berisi bradyzoit yang menyebabkan infeksi terhadap karnifora. Bila dirangkumkan, perjalanan siklus hidupnya dapat dibagi dalam 3 tahap, yaitu tahap sporogoni, tahap skizogoni dan tahap gamelogoni. Tahap skizogoni merupakan tahap aseksual pada induk semang antara dan tahap gametogoni merupakan tahap seksual pada Induk semang akhir. togenitas Sarcocystis tidak begitu berat, yang membahayakan adalah toksinnya yang disebut sarkocystin atau sarkosporidin yang dapat merusak susunan syaraf, kelenjar adrenal, jantung dan dinding usus. Pengaruhnya pada penyakit yang bersifat akut, hanya terjadi dalam sejumlah kecil induk semang dan harus pula terhadap jumlah yang besar dari sporokista. Gejala-gejala klinis yang tampak adalah sebagai berikut: gejal umum, kerontokan bulu, hipersalivasi, ikterus kepucatan membaan mukus, limfadenopati periferal, diare, perasaan kedinginan, otot kejang, otot dan kepala tremor, dan paralisis-posterior. Pada sapi perah, gejala klinis yang terlihat umumnya terjadi setelah laktasi dimulai dengan sebelumnya tidak terlihat tanda-tanda yang jelas. Gejala yang ada, adalah demam (41.1°C 12.0°C), hipersalivasi, pengeluaran cairan dari hidung (nasal discharge), dan kehilangan pengkilapan bulu kulit serta kehilangan gerakan dari ekor ("ekor tikus"). ...
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