Judul: Kompetensi Pemilik Rumah Makan Trasisional Kelas C  dalam Pengolahan dan Penyajian Makanan di Daerah  Tujuan Wisata Jakarta Timur
Abstrak: Pembangunan pariwisata merupakan rangkaian upaya untuk meningkatkan pendapatan masyarakat, menciptakan lapangan pekerjaan, mengentaskan kemiskinan, mendorong pertumbuhan ekonomi dan meningkatkan citra pariwisata suatu wilayah. Melalui peningkatan sajian kuliner yang sehat, aman dan penyajian yang memperindah penampilan dari makanan pada rumah makan tradisional kelas C dapat diupayakan peningkatan pendapatan pemilik rumah makan tradisional kelas C. Salah satu upaya untuk meningkatkan sajian kuliner rumah makan tradisional kelas C adalah dengan meningkatkan kompetensi pemilik rumah makan tradisional dalam pengolahan dan penyajian makanan sehat, aman dan bersih. Pengolahan dan penyajian makanan untuk usaha rumah makan tradisional kelas C membutuhkan kesanggupan dan harus menggunakan tata laksana makanan yang tepat, antara lain dalam perencanaan menu, persiapan pengolahan, pengolahan, penyajian makanan serta sanitasi dan higiene.
Keyword: Rumah Makan Trasisional, Pengolahan dan Penyajian Makanan, Jakarta

Judul: Tingkat Adopsi Program Sapta Pesona oleh Pengelola Rumah Makan Tradisional Kelas C di Jakarta Timur
Abstrak: Pariwisata menjadi salah satu industri terbesar di dunia yang prospektif dan kompetitif. Upaya pembangunan pariwisata ditujukan untuk meningkatkan pendapatan masyarakat, menciptakan lapangan kerja, mengentaskan kemiskinan, mendorong pertumbuhan ekonomi dan meningkatkan citra pariwisata suatu wilayah. Indonesia masih jauh tertinggal, dibandingkan dengan negara Asia lainnya, dalam merebut kunjungan wisata internasional. Indonesia juga belum mampu menjadikan pariwisata sebagai primadona dalam menghasilkan devisa bagi negara ini. Jika tidak segera berbenah, mungkin kita hanya akan menjadi penonton dalam persaingan global yang semakin ketat.
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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