Judul: Produksi Ikan Corydoras Corydoras aenus pada Padat Penebaran 8, 12 dan 16 Ekor/liter dalam Sistem Resirkulasi.
Abstrak: Salah satu ikan hias yang berprospek untuk dikembangkan adalah ikan corydoras (Corydoras aeneus). Permintaan ikan corydoras dari beberapa negara Eropa dan Asia cukup tinggi yaitu sebanyak 10.000 – 20.000 ekor/bulan, akan tetapi permintaan tersebut belum mampu dipenuhi produksi dalam negeri (Marliani, 2007). Hal ini disebabkan oleh rendahnya produktivitas para pembudidaya yang masih menggunakan sistem tradisional dengan padat penebaran yang rendah, yaitu kurang dari 3 ekor/liter yang dipelihara pada bak-bak semen di luar ruangan. Upaya intensifikasi budidaya ikan corydoras dapat dilakukan dengan meningkatkan padat penebaran dan pengelolaan lingkungan perairan yang baik dengan sistem resirkulasi. Kepadatan yang optimal dapat memaksimalkan produksi. Penentuan kepadatan yang optimal merupakan langkah awal yang penting pada kegiatan budidaya.
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Judul: Production Perfomance and Feasibility of Ornamental Fish Corydoras paleatus Size One Centimeter of Different Stocking Density with Water Exchange 30%
Abstrak: Kebutuhan ikan koridoras semakin meningkat seiring dengan pertumbuhan penduduk dan permintaan. Dewasa ini ikan koridoras yang banyak diminati masyarakat adalah jenis Corydoras paleatus. Ikan ini sudah banyak dibudidayakan di Indonesia namun produktivitasnya masih rendah. Penelitian ini bertujuan menentukan padat tebar yang optimal dalam budidaya ikan Corydoras paleatus dengan pergantian air 30% setiap hari. Penelitian ini menggunakan rancangan acak lengkap dengan 4 perlakuan dan 3 ulangan. Perlakuan tersebut berupa padat tebar 500 ekor m-2, 1000 ekor m-2, 1500 ekor m-2, 2000 ekor m-2 yang diisi air sebanyak 30 L. Pemeliharaan ikan dilakukan dalam akuarium berukuran 50 cm × 30 cm × 25 cm selama 28 hari dengan pemberian pakan cacing sutra dilakukan pada jam 08.00 dan 16.00 WIB. Hasil penelitian menunjukkan bahwa perlakuan padat tebar berpengaruh nyata terhadap parameter tingkat kelangsungan hidup, laju pertumbuhan spesifik, laju pertumbuhan harian, pertumbuhan panjang mutlak, dan efisiensi pakan, namun tidak berpengaruh nyata terhadap parameter koefisien keragaman panjang. Padat tebar yangmenghasilkan kinerja produksi dan kelayakan usaha terbaik adalah 2000 ekor m-2., The need for Corydoras fish is increasing in line with population growth and demand. Currently the fish that is in great demand is Corydoras paleatus. This type of fish has been widely cultivated in Indonesia but its productivity is still low. This study aimed to determine the optimal stocking density in the cultivation of Corydoras paleatus with 30% water change every day. The study used a completely randomized design with 4 treatments and 3 replications. The treatments were stocking density, namely 500 m-2, 1000 m-2, 1500 m-2, and 2000 m-2. Fish rearing was carried out in 12 aquariums measuring 50 cm × 30 cm × 25 cm each and filled with 30 L of water. During the maintenance period, the fish fed Tubifex sp. done at 08.00 and 16.00 WIB and water changes by 30% daily. The results showed that the treatment of stocking density had a significant effect on survival, specific growth rate, daily growth rate, absolute length growth, and feed efficiency parameters, but did not have a significant effect on length variability coefficient. The stocking density that resulted in the best production performance and business feasibilty was 2000 m-2. Keywords: corydoras
Keyword: corydoras, production performance, stocking density, corydoras, production performance, stocking density

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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