Judul: The Potency of Proteolytic Bacteria as Biocontrol of Microcystis aeruginosa BT-02 in Carp (Cyprinus carpio).
Abstrak: Cyanobacteria are group of phytoplankton that commonly found in bodies of fresh water all over the world. Cyanobacteria like Microcystis aeruginosa, produce microcystin (MCYST). MCYST is a monocyclic heptapeptide hepatotoxin which has cause fish mortalities. This study was conducted to know the potency of proteolytic bacteria isolated from digestive tract of tilapia fish strain GIFT which have ability to inhibit the growth of M. aeruginosa BT-02. The isolates of proteolytic bacteria which have the ability to inhibit the growth of M. aeruginosa BT-02, i.e NU-4 and NU-8 have been identified as Aeromonas. The inhibition index that produced by NU-4 (1,71) was higher than NU-8 (1,34). The inhibition mechanism is still unknown. Toxicity test revealed that there were not any carp fish die during the experiment, but there were some histological changes observed in liver and intestinal of treated carp fish with M. aeruginosa cells.
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Judul: Peranan bakteri asal pencernaan ikan nila gift dalam menghambat pertumbuhan Microcystis aeruginosa BT-02
Abstrak: Penelitian ini bertujuan untuk menapis bakteri proteolitik yang berasal dari saluran pencemaan ikan Nila GIFT yang memiliki kemampuan untuk menghambat pertumbuhan sianobakter Microcystis aeruginosa BT-02. M. aeruginosa merupakan sianobakter yang dapat menyebabkan blooming yang bersifat toksik terutama pada ikan. Dipilih empat isolat proteolitik yang memilii indeks protease tertinggi, yaitu NU-2, NU-3, NU-4, dan NU-8. Kultur M aeruginosa ditumbuhkan pada dua macam media cair, yaitu BG-11 termodifikasi dan MLA. Metode agar-agar blok lapis ganda (Double layer) digunakan untuk menapis M. aeruginosa. Isolai NU-4 dan NU-8 dapat mendegradasi koloni M. aeruginosa BT-02. Indeks penghambatan sebesar 1.6 dihasilkan oleh NU-8 yang lebih besar daripada NU-4 dengan nilai 1.3. Ekstrak kasar protease yang dihasilkan kedua isolat tersebut tidak dapat menghambat pertumbuhan M. aeruginosa BT-22. Kedua isolat bakteri tersebut termasuk bakteri Gram negatif dan NU-8 diidentifikasi sebagai Aeromonas
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Judul: Perbandingan SOM dan LVQ pada Identifikasi Citra Wajah dengan Wavelet sebagai Ekstraksi Ciri
Abstrak: Face recognition is one of challenging research topics in computer science because human face is difficult to be modelled. In this research, SOM and LVQ are proposed for frontal face recognition. The purpose is to compare LVQ and SOM based on identification accuracy. Training uses 400 images from 20 different individuals, and the dimension is 180 x 200 pixels. The data are retrieved from University of Essex, UK. Coefficient approximation at Haar wavelet level 6 is used as feature for classification and clustering process. K-fold cross validation with 10-fold is used to divide training and testing data. The experiment is divided into 3 sets, i.e., the experiment using SOM, LVQ, and LVQ initialized by SOM. The highest accuracy achieved by SOM is 97.8974%, while both LVQ and LVQ initialized by SOM achieve 100% accuracy. Based on the accuracy, LVQ proves to be better than SOM for frontal face recognition. This research needs to be improved in order to recognize various poses and changing expressions.
Keyword: Self Organizing Map (SOM), Learning Vector Quantization (LVQ), K-fold cross validation, Haar wavelet, frontal face recognition