Judul: Persepsi dan motivasi pengunjung dalam kegiatan ekoturisme di Taman Nasional Gunung Gede-Pangrango
Abstrak: Seiring dengan berkembangnya ekoturisme, di Indonesia minat masyarakat untuk melakukan kegiatan wisata ke tempat-tempat yang masih asli dan alami, jauh dari keramaian semakin berkembang. Dewasa ini tampak semakin banyak anak-anak muda yang melakukan kegiatan seperti mendaki gunung atau menyusuri pantai dimana kegiatan-kegiatan semacam itu sebenarnya banyak mengandung resiko dan banyak mengeluarkan energi serta biaya yang tidak sedikit. Meskipun demikian kegiatan-kegiatan tersebut ternyata sebagian masih disertai dengan adanya pencemaran dan perusakan terhadap lingkungan alam. Sampah sisa perbekalan yang dibuang sembarangan salah satunya yang paling banyak terlihat. Dengan demikian terlihat ada kontradiksi bahwa minat untuk melakukan kegiatan-kegiatan ekoturisme semakin berkembang tetapi dampak yang ditimbulkannya masih belum sesuai dengan apa yang diharapkan dari kegiatan ekoturisme. Untuk itu diperlukan penelitian mengenai bagaimana persepsi dan motivasi pengunjung dalam kegiatan ekoturisme.
Keyword: 

Judul: Analisis keterkaitan peraturan berkunjung dengan perilaku pengunjung di taman nasional gunung gede pangrango
Abstrak: TNGP memiliki keragaman jenis tumbuhan dan satwa, fenomena alam yang nyaman dan hawanya yang sejuk serta obyek wisata yang sangat menarik. Keadaan tersebut telah menarik banyak pengunjung terutama yang berusia muda. Untuk mewujudkan terselenggaranya kegiatan wisata tanpa menggangu lingkungan maka peraturan pengunjung di TNGP ini telah diterapkan oleh pihak pengelola dengan ketat. Namun demikian dengan adanya peningkatan jumlah pengunjung dari tahun ke tahun dan aktifitas yang dilakukan akan menimbulkan dampak seperti vandalisme, sampah, perusakan vegetasi, erosi, polusi dan pencurian. Saat ini masalah tersebut menjadi masalah yang dihadapi oleh pihak pengelola. Penelitian ini bertujuan untuk mengetahui keterkaitan peraturan berkunjung dengan perilaku pengunjung nusantara di TNGP.
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