Judul: Perilaku Harian Rusa Totol (Axis axis) yang Dikembangbiakkan di Padang Rumput Halaman Istana Negara Bogor
Abstrak: Tujuan penelitian ini untuk mendapatkan informasi perilaku aktivitas harian rusa Totol (Axis axis terutama karakteristik perilaku makan rusa Totol serta perkebangan populasi rusa di padang pengembalaan. Pelaksanaan penelitian selama empat bulan yang dimuali bulan Maret sampai dengan bulan Juli tahun 2000 di padang rumput Istana Negara Bogor. Metode intensitas perilaku digunakan, untuk pengamatan perilaku langsung, dan pengamatan karakteristik khusus, terutama pada komposisi umur rusa dalam populasi dan pengamatan perilaku makan rusa. Peubah yamg dianalisis antara lain karakteristik populasi, perilaku harian, perilaku makan, daerah jelajah, penggunaan gerak beserta tanaman diatasnya.
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Judul: Perilaku Harian dan Preferensi Pakan Rusa Timor (Rusa timorensis) di Taman Rusa Bumi Patra, Indramayu.
Abstrak: Rusa timor (Rusa timorensis) merupakan jenis satwa yang mudah beradaptasi sehingga sangat potensial untuk dikembangkan melalui penangkaran. Taman Rusa Bumi Patra merupakan penangkaran rusa yang terletak di Perumahan Pertamina Bumi Patra, Indramayu dan baru terbentuk pada bulan November 2017. Penelitian ini bertujuan untuk mengidentifikasi pola perilaku harian rusa timor yang berada di penangkaran dan untuk menghitung tingkat konsumsi, kebutuhan nutrisi, palatabilitas pakan, dan preferensi pakan pada rusa timor di penangkaran. Metode yang digunakan yaitu pengamatan dan pengukuran langsung, studi literatur serta wawancara kepada pengelola. Perilaku harian yang paling banyak dilakukan yaitu perilaku ingestif dan perilaku yang paling sedikit dilakukan adalah perilaku investigatif. Tingkat konsumsi, palatabilitas dan preferensi pakan tertinggi terdapat pada jenis kangkung air dan terendah pada jenis rumput benggala. Rusa jantan dan rusa betina memiliki tingkat konsumsi, palatabitas, dan preferensi pakan yang relatif sama. Kebutuhan nutrisi rusa jantan dan betina meliputi protein kasar 5.96% dan 5.91%, serat kasar 14.47% dan 14.42%, serta lemak kasar 1.8% dan 1.72%.
Keyword: Perilaku harian, Preferensi pakan, Rusa timor

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