Judul: Pengaruh Konsumsi Minyak Sawit Merah terhadap Ketersediaan Biologis B-Karoten, Retinol dan a-Tokoferol dalam Serum Tikus (Wistar)
Abstrak: Sampai tahun 1998 diperkirakan produksi minyak sawit di Indonesia sudah mencapai 5,9 juta ton dan nilai ini akan terus meningkat di tahun-tahun mendatang. Kandungan beta-karoten yang tinggi dalam minyak sawit dapatmenjadi salah satu alternatif untuk menggantikan kapsul vitamin A yang bahan bakunya masih diimpor untuk diberikan pada anak-anak balita. Demikian juga dengan kandungan tokoferolnya yang tinggi dapat berperan sebagai antioksidan untuk mengatasi penyakit degeneratif akibat radikal bebas. Sekarang sudah dikembangkan teknologi proses barn untuk mempertahankan kandungan zat gizi minor dalam minyak sawit yang produknya dinamakan minyak sawit merah.
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Judul: Pengaruh Konsumsi Minyak Sawit Terhadap Profil Lipida darah Tikus Wistar
Abstrak: Pola penyakit di Indonesia sedang berada dalam masa transisi, yakni peralihan dari bentuk penyakit menular kepada bentuk penyakit degeneratif. Pada tahun 1996 penyakitjantung koroner (PJK) bahkan menduduki peringkat I penyebab kematian di Indonesia (Depkes RI, Balitbangkes, 1997). Ada banyak faktor risiko yang secara kompleks mengakibatkan kemudahan perkembangan ateroskJerosis dan penyakit jantung koroner (PJK); salah satunya adalah tingginya konsentrasi kolesterol darah, yang sangat dipengaruhi oleh pola konsumsi. Profil lipida darah berkaitan erat dengan komposisi asam lemak ,dan keberadaan kolesterol dalam dial. Secara umum, asam lemak jenuh dianggap menaikkan kolesterol darah. Minyak sawit, yang banyak dikonsumsi . di Indonesia sebagai daerah penghasil minyak sawit terbesar kedua setelah Malaysia, memiliki kandungan asam lemak jenuh yang tinggi. Hal ini menyebabkan adanya ketakutan untuk mengkonsumsi minyak sawit.
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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