Judul: Identifikasi Jenis Shorea (Meranti) Menggunakan Algoritme Voting Feature Intervals 5 Berdasarkan Karakteristik Morfologi Daun
Abstrak: Shorea (Meranti) is the major timber-producing genera of the family Dipterocarpaceae. Dipterocarpaceae produce very high quality timber in the tropical rain forest region of Asia and has very high commercial value in the world industry. However, certain species of shorea are known to have low quality wood. Hence, the selection process of shorea species is essential in producing high quality shorea timber. There are 194 types of shorea species, which makes it difficult and impractical to identify each species manually. Only people with significant amount of experience can effectively identify different shorea species. This research aims to automatically identify shorea species based on the morphological characteristic of their leaves using Voting Feature Intervals 5 (VFI5). The data used in this research is obtained using manual measurement from shorea plants in Bogor Botanical Gardens. We use 5 species of shorea each having 10 instances for a total of 50 instances. Each instance is characterized by using the following morphological characteristics: length of the leaf, width of the leaf, venation of the leaf, surface of the leaf, tip of the leaf, base of the leaf, circumference, wide, angle, and amount of veins. Each characteristic is used as a feature for processing using VFI 5 algorithm. The best accuracy obtained in this research is 88%.
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Judul: Identifikasi Daun Shorea menggunakan Voting Feature Interval 5 dengan Discrete Wavelet Transform
Abstrak: Shorea belongs to the Dipterocarpaceae family. Shorea wood is the best timber and has high commercial value in wood industrial trading. However, the large variety of Shorea becomes the main challenge for its identification. This research aimed at developing Shorea’s identification system using its leaves, by considering that leaf is more practical to identify, easily obtained, available all the time and is suitable for observations in the form of image. The system was developed by using Voting Feature Interval 5 based on Discreate Wavelet Transform. Ten species of Shorea were identified. It was revealed that the best accuracy was 71%.
Keyword: Voting Feature Interval 5, Shorea, Discreate Wavelet Transform

Judul: Enteric Collibacillosis Pada Anak Babi Baru Lahir: Patogenesa dan Perubahan-Perubahan Patologisnya
Abstrak: Diare disebabkan oleh infeksi bakteri Escherichia coli pada anak-anak babi baru lahir yang peka terhadap en terotoksin produk bakteri tersebut. Dikenal sebagai colibacillosis. Patogenesa dari colibacillosis anak babi baru lahir adalah (1) infeksi oleh E. coli patogen, (2) proliferasi E. coli di lumen usus halus, (3) produksi dan pelepasan enterotoksin, dan (4) aktifitas toksin pada usus halus. Dalam proses proliferasi, adanya antigen pili K88 sangat penting karena memungkinkan bakteri perlekatan dengan epitel mucosa usus halus. mengadakan Setelah ko lonisasi dan proliferasi segera toksin dilepaskan. Akti- fitas toksin menginduksi sekresi yang berlebihan dari u- sus sehingga banyak cairan yang dikeluarkan ke lumen usus. Hal ini mengakibatkan banyak cairan dan elektrolit hilang sehingga timbul diare, dehidrasi dan asidosis yang sering menyebabkan kematian. Perubahan-perubahan patologis yang umum adalah dis tensi usus halus, dilatasi lambung dan infark pada kurva- tura mayor. Perubahan-perubahan histologis yang terjadi adalah enteritis hemorrhagica acuta, oedem dan kongesti pembuluh darah di lamina propria, akumulassi leukosit inti polimorf, sel monosit, dan inti sel mengalami piknosis Thrombus pada vena dan degenerasi serta desquamasi sel epitel usus….
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