Judul: Faktor-faktor yang mempengaruhi permintaan obat tradisional fitofarmaka produk x di Wilayah Bogor
Abstrak: Di Indonesia obat yang tergolong Obat Tradisional Fitofarmaka masih dapat dihitung oleh jari, dan peneliti mengambil salah satunya sebagai bahan penelitian. Obat Tradisional Fitofarmaka (OTF) yang diambil sebagai bahan penelitian berkhasiat sebagai peningkat daya tahan tubuh dengan cara memperkuat sistem imun yang selanjutnya dalam skripsi ini disebut sebagai produk x.Pemilihan produk ini dirasa sangat cocok dengan kondisi geografis kota Bogor. Kota dengan curah hujan tinggi ini berpotensi untuk menyimpav berbagi macam penyakit. Dilihat dari data penjualan produk x yang diteliti Bogor menempati posisi terbawah dbandingkan dengan Jakarta 1, Jakarta 2, Jakarta 3, Bekasi dan Tangerang.
Keyword: 

Judul: Formulasi Strategi Pemasaran Obat Tradisional pada Taman Syifa di Kota Bogor, Jawa Barat
Abstrak: Indonesia merupakan salah satu negara yang memiliki keanekaragaman hayati terbesar di dunia. Salah satu keanekaragaman hayati yang dimiliki Indonesia adalah keanekaragaman tanaman obat. Indonesia merupakan negara terkaya dalam spesies tanaman obat. Setidaknya 30.000 spesies dari 40.000 spesies tanaman obat yang ada di seluruh dunia ada di Indonesia. Namun hanya sekitar 940 jenis tanaman obat yang telah dimanfaatkan. Sejalan dengan paradigma pembangunan baru perekonomian Indonesia yang mendukung pengembangan industri yang mengolah hasil pertanian primer menjadi olahan (agroindustri), maka keberadaan industri yang bergerak di bidang pengolahan tanaman obat menjadi semakin berkembang. Hal ini juga ditunjang dengan semakin meningkatnya permintaan akan obat tradisional yang dipicu oleh maraknya tren back to nature, kesadaran akan efek samping yang ditimbulkan oleh obat sintetik, keterjangkauan dalam mengonsumsi, dan kecenderungan masyarakat kota yang menyukai hal-hal praktis.
Keyword: 

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