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: Sistem Pakar untuk Identifikasi Shorea Menggunakan Algoritme Voting Feature Interval 5
Abstrak: Shorea is a kind of meranti species that have high value. Shorea is a genus name with 194 species and belong to the Dipterocarpaceae family. Shorea has a considerable number of benefits. It is the most important timber source. Shorea can be used to produce varnish, paint and other chemical materials. One kind of Shorea is better known as tengkawang and can produce a high price oil that can be used to make cosmetics and food. The morphological similarity of Shorea makes it difficult to distinguish one Shorea to another. The identification is usually done by experts. Unfortunately, there is limited time and resource of experts to identify. Expert system is a computer system that emulates the decision making ability of human expert. This research aims to develop an expert system to identify Shorea based on morphological characteristics of Shorea. The expert system being built uses Voting Feature Intervals 5 (VFI5) algorithm to identify Shorea. The acquistion of data is done with expert to examine Shorea morphological characteristics. The acquisition is generating identification of determination key as comparison to VFI5 algoritm. The identification using VFI5 algorithm produced 99% average accuracy, and identification of Shorea performed by an expert produced 90% accuracy.
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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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