Judul: Graphology Analysis Based on Letter a and t Using Perceptron.
Abstrak: Graphology or handwriting analysis is a method of identifying, analyzing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. A person who can analyze handwriting is called a graphologist. A graphologists can be subjective in their assesments different graphologist can have different analysis of the same handwriting. Therefore, a computer technology may help to minimize the subjectivity. This research used perceptron to analyze personality based on handwriting. Perceptron is one method of neural network. This research analyze two letters to letter a and t image. Letter a are represented by 135 images, consisting of 81 images as training data and 54 images as testing data. There are 150 images used for t images, consisting of 90 images as training data and 60 images as testing data.There are 5 experiments consisting of 2 experiments for letter a and 3 experiments for letter t. The result is the character of each class letter a and t where each parameters there are 3 classes. The accuracy of letter t and letter a was 55% and 88.89% respectively.
Keyword: 

Judul: Analisis Grafologi Berdasarkan Huruf a dan t Menggunakan Jaringan Syaraf Tiruan Propagasi Balik Standar
Abstrak: Graphology or handwriting analysis is a method of identifying, analysing, evaluating, and understanding personality through the strokes and patterns revealed by handwriting. People who can analyze handwriting called graphologist. Graphologist can have a subjective assesment. Different graphologist can analyze the same handwriting but give different results. In addition, the accuracy of handwriting analysis depend on the graphologists ability. A system that can recognize handwrititng patterns is required to overcome these problems. Identification system which is implemented in this research uses Backpropagation Neural Network (BPNN). This research used 135 images of letter a and 150 images of letter t. This research is divided into three parts which are determining optimal combination of BPNN parameter, identifying personality based on letter a, and identifying personality based on letter t then classifies them into one of three character classes available. The results of this research is that the system has 98.15% accuracy for letter a and 73.33% for letter t. The result shows that Backpropagation Neural Network can be used to classify the personality
Keyword: 

Judul: Koksidiosis pada babi yang disebabkan oleh Eimeria debliecki
Abstrak: Eimeria debliecki merupakan penyebab utama yang patogen terhadap timbulnya koksidiosis pada babi, terutama pada babi muda sedangkan babi yang tua umumnya telah mengalami infeksi sehingga hewan menjadi sedikit kebal. Ookista Eimeria debliecki bersporulasi secara lengkap dalam waktu 240 jam (10 hari) pada suhu 20°C. Ookista men jadi lebih infektif terhadap induk semang yang baru. Hewan muda, hewan yang peka bila terinfeksi akan menimbulkan gejala seperti diare, tidak ada nafsu makan (a norexia), dehidratasi dan hewan menjadi kurus. Pada hewan yang sembuh biasanya memperlihatkan pertumbuhan yang terhambat dan hewan menjadi lesu. Kerugian ekonomi yang disebabkan penyakit ini belum dapat ditafsirkan karena belum ada perhitungan kerugian oleh penyakit ini di Indonesia. Diagnosa penyakit dapat dilakukan dengan cara pemeriksaan tinja baik secara langsung maupun dengan dibubuhi zat warna eosin 2% dan pemeriksaan dengan cara/metode konsentrasi. ...
Keyword: