Judul: Potensi rebusan daun sirih merah, Piper crocatum sebagai senyawa anthiperglikemia pada tikus putih galur Sprague-Dwaley
Abstrak: Sirih merah (Piper crocatum) merupakan salah satu jenis tanaman hias,yang kini berubah menjadi tanaman obat alternatif sejak diperkenalkan oleh Bambang Sudewo –produsen tanaman obat di Blunyahrejo, Yogyakarta. Rebusan sirih merah (Piper crocatum) telah digunakan secara tradisional untuk mengobati diabetes melitus. Namun demikian, sampai sekarang belum ada penelitian mengenai kandungan fitokimia dan menguji khasiat tanaman tersebut dalam menurunkan kadar glukosa darah hewan uji. Oleh karena itu, penelitian ini bertujuan untuk mempelajari toksisitas akut rebusan sirih merah dan mengetahui kandungan fitokimia sirih merah, serta hubungannya dalam menurunkan kadar glukosa darah pada tikus putih jantan galur Sprague-Dawley yang dibuat hiperglikemia.
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Judul: Kadar Biomarker Darah Tikus Obesitas Yang Diberi Ekstrak Daun Sirih Merah (Piper Crocatum).
Abstrak: Piper crocatum mengandung senyawa golongan alkaloid piperina, pipernonalina, dan dihidropipernonalina yang memiliki aktivitas antiobesitas. Penelitian ini bertujuan mengukur kadar biomarker dalam darah tikus obesitas yang diberikan perlakuan pemberian ekstrak sirih merah. Biomarker yang diukur adalah glukosa, trigliserida, dan kolesterol darah. Selain itu juga dilakukan pengukuran bobot tikus dan konsumsi pakan tikus. Ekstrak sirih merah didapatkan dengan cara refluks dalam air mendidih kemudian air diuapkan dengan teknik penguapan berputar. Ekstrak kemudian diberi ke kelompok tikus Sprague Dawley jantan obesitas dengan dosis 1260 mg/kg bobot badan dan 1890 mg/kg bobot badan selama 2 minggu. Pemberian ekstrak sirih merah pada dosis 1260 mg/kg bobot badan mampu menurunkan bobot badan sebesar 9.35% bobot badan. Pemberian ekstrak sirih merah pada dosis 1890 mg/kg bobot badan mampu menurunkan bobot badan sebesar 2.67%. Pemberian ekstrak sirih merah tidak memiliki pengaruh yang signifikan terhadap kadar glukosa darah dalam penelitian ini. Akan tetapi pemberian ekstrak sirih merah mampu menurunkan kadar kolesterol dan trigliserida darah dalam waktu 2 minggu. Berkurangnya konsumsi pakan juga mempengaruhi penurunan bobot badan tikus.
Keyword: biomarker, Piper crocatum, tikus obesitas

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