Judul: Parasit pada Ikan Neon Tetra (Paracheirodon innesi Myers) yang diekspor melalui Balai Karantina Ikan Bandara Soekarno-Hatta, Jakarta
Abstrak: Penelitian ini bertujuan untuk mengetahui jenis-jenis parasit dan habitat dari tiap-tiap parasit yang menyerang ikan neon tetra (Paracheirodon innesi Meyrs) yang diekspor melalui Balai Karantina Ikan Bandara Soekarno-Hatta, Jakarta. Ikan uji yang dipakai dalam penelitian adalah ikan neon tetra yang berasal dari lima farm di wilayah Jawa Barat dan Jakarta yang akan masuk ke Balai Karantina Ikan Bandara Soekarno-Hatta, Jakarta, yaitu Farm Aqua Marindo, Farm Maju Aquarium, Farm Vivajaya Internasiona, Farm Persada Aqua Fauna dan Farm Cahaya Baru. Data yang diperoleh dari penelitian meliputi jenis parasit, habitat yang diserang, prevalensi dan intensitas parasit dianalisa secara deskriptif.
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Judul: Inventarisasi Parasit Pada Ikan Maanvis, Ikan Mas Koki, Ikan Black Ghost Dan Ikan Neon Tetra di Daerah Jakarta Selatan, DKI Jakarta
Abstrak: mas koki (Carassills alira/lIs), ikan maanvis (P/erophylum sealare), ikan black ghost (Ap/ereno/lis albiji'ons), ikan neon tctra (Paraeheirodon innesl) di dacrah Jakarta Selatan, DKI Jakarta. ' Pengambilan sampel dilakukan selama 4 bulan berturut-turut dengan jumlah ikan setiap pengambilan sebanyak 15 ekor, untuk setiap sampling, sehingga keseluruhan jumlah ikan sam pel setiap spesies adalah 60 ekor. Pengambilan sampel ikan dalam keadaan hidup dilakukan dengan menggunakan wadah plastik yang ditambahkan oksigen didalamnya. Kemudian wadah plastik tersebut diletakkan dalam wadah styrofoam yang telah diberi es. Pemeriksaan ikan uji dilakukan di Laboratorium Kesehatan Ikan, Jurusan Budidaya Perairan, FPIK, IPB, Bogor. Pertama ikan uji diukur panjang total (cm), lalu ikan dimatikan. Pemeriksaan meliputi bagian internal dan eksternal ikan. Parasit yang ditemukan pada ikan uji diidentifikasi berdasarkan Kabata (! 985), HolTman (! 967) dan Lom (1964). Pengukuran dan pembllatan gambar parasit dilakukan pada spcsimcn yang diawctkan dan diwarnai dengan alkohol 70%, formalin 10%, larutan Giemsa, acctocanninc, AgNOJ.2%, KOB, xylol dan cntellan.
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Judul: The Construction of Greedy SVP LLL Algorithm
Abstrak: A lattice is a set of all integer linear combination of a set of linearly independent vectors in ℝ𝑛���. The independent vectors are called bases of lattice. Any lattice can be generated from many bases, and these bases have the same cardinality. In the lattice, the most fundamental and renowned problem is the Shortest Vector Problem (SVP). SVP is a tracking problem of the shortest nonzero vector in a lattice with equivalent bases. In two dimensions, SVP problem has resolved exactly by Gauss’ algorithm. When the lattice dimension is higher than two, A.K. Lenstra, H.W. Lenstra and L. Lovasz gave a LLL algorithm to compute approximation of nonzero shortest vector in the lattice. Reduced bases solution obtained from LLL algorithm still be an approximation and has polynomial running time of arbitrary dimension which large enough. In 1994, Schnoor and Euchner modified this LLL algorithm as a new variant which later was named deep insertion LLL algorithm. This algorithm is a modified version of the LLL algorithm to the terms of the exchange step to improve the accuracy of output of LLL reduced bases and applying it to the subset sum problem. The purpose of this research are: (1) Reconstruct the LLL algorithm and deep insertion LLL algorithm using a geometric approach. (2) Construct a greedy SVP LLL algorithm. (3) Implement the three algorithms in a symbolic programming language, and evaluate them experimentally. A bases ℬ=[𝐛���1,𝐛���2,…,𝐛���𝑛���] in ℝ𝑚��� is called reduced LLL with parameter 𝛿��� if satisfies: (a) |𝜇���𝑗���𝑖���|≤12, for every integer 𝑖���,𝑗��� with 1≤𝑖���<𝑗���<𝑛���. (b)𝛿���‖𝜋���𝑗���(𝐛���𝑗���)‖2≤‖𝜋���𝑗���(𝐛���𝑗���+1)‖2, for 𝑗���=1,2,…,𝑛���−1,where 𝛿��� is a reduced parameter of real numbers with 14<𝛿���<1. The first requirement is the reduced basis 𝛿��� must “nearly orthogonal” and in its computation case, this requirement can be reached out by using the Gram-Schmidt’s orthogonalization. While the second requirement is called exchange step, or used to called as Lovasz condition. By using both of these requirements, then they establish the LLL algorithm. Then, Schnoor and Euchner modify the LLL algorithm based on the requirements of the exchange step called the deep insertion LLL algorithm, where the exchange step is based on the comparison of the projected vector in orthogonal complement [𝐛���1,𝐛���2,…,𝐛���𝑘���−1]⊥ after j-th reduction. To construct greedy SVP LLL algorithm, the requirements of the exchange step is based on purely by comparing norm of lattice 𝐛���𝑗��� with norm lattice 𝐛���𝑖��� for 𝑖���=1,2,3…,𝑗���−1. The process of insertion reduced vector after the exchange step also has done greedily. Then, we calculate the number of arithmetic operation in greedy SVP LLL algorithm for further analysis. The result of our exprimentation for three algorithms on the certain matrix size shows that the running time of the three algorithms increases propotional to the size of the matrix. The result also shows that by using 𝛿���=34 for the LLL algorithm and the deep insertion LLL algorithm, and the greedy SVP LLL algorithm which is a new variant made by using no parameter of 𝛿���, outperform of the other of two previous algorithm in terms of speed with the same output.
Keyword: LLL algorithm, LLL deep insertion algorithm, greedy SVP LLL algorithm