Judul: Epidemiologi penyakit demam berdarah di wilayah DKI Jakarta dan status kerentanan vektornya terhadap malation
Abstrak: Tujuan penelitian adalah untuk menelaah epidemiologi penyakit demam berdarah diwilayah DKI Jakarta dan untuk mengetahui serta menentukan status kerentanan nyamuk Aedes aegypti terhadap malation di wilayah DKI Jakarta di tiga strata yang berbeda berdasarkan kasus yang dikaitkan dengan frekuensi pengasapan malation. Departemen Kesehatan telah melaksanakan operasi pemberantasan penyakit demam berdarah dengan tindakan pengasapan rumah-rumah penduduk yang terletak dalam jarak 100 meter sekeliling rumah kasus dengan menggunakan insektisida malation. Penggunaan malation yang terus menerus ini memungkinkan timbulnya galur nyamuk Ae. aegypti yang resisten terhadap malation tadi. ..
Keyword: Pengue

Judul: Status Kerentaan Nyamuk Aedes Aegypti Dari Daerah Endemis Penyakit Demam Berdarah Kotamadya Bogor Terhadap Temefos Dan Malation
Abstrak: Penelitian ini bertujuan mengetahui status kerentanan isolat nyamuk Aedes aegypti dari 20 lokasi pada kondisi lingkungan permukiman padat yang teratur (LPPT), kondisi lingkungan permukiman elit (LPE) dan kondisi lingkungan permukiman perdagangan atau pertokoan (LPPP). Larva dari semua isolat tersebut diuji kerentanannya dengan 5 konsen- trasi temefos dan nyamuk dewasanya diuji waktu kerentanannya dengan malation 5% ( 5, 10, 15 dan 30 menit ). Hasil pengujian status kerentanan larva Aedes aegypti 4 kondisi lingkungan permukiman menunjukkan yang diuji pada LPPP dari 5 3 isolat (60%) yang menunjukkan isolat bahwa yang kecenderungan pada isolat-isolat diuji ada kearah terjadinya resistensi, pada LPTT ada 2 isolat (40%) dan pada LPE ada 1 isolat (20%). Akan tetapi dari nilai rata-rata KL 95 seluruh populasi Aedes aegypti kotamadya Bogor masih dapat dianggap rentan. Hasil pengujian malation menunjukkan bahwa isolat Ae. aegypti asal Bogor masih rentan terhadap residu malation 5% dengan waktu letal/WL 95 rata-rata selama 29 menit.
Keyword: Nyamuk Aedes Aegypti, Penyakit Demam Berdarah, Temefos, Malation

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