Judul: Dampak Mobilitas Tenaga Kerja Wanita Ke Saudi Arabia terhadap Kondisi Sosial Ekonomi dan Proses Sosialisasi Anak dalam Keluarga: Studi kasus di Kampung Tegallega, Desa Cilanggari, Kecamatan Gunung Halu, Kabupaten Bandung, Propinsi Jawa Barat
Abstrak: Penelitian ini mengkaji tentang Dampak Mobilitas Tenaga Kerja Wanita Ke Saudi Arabia Terhadap Kondisi Sosial Ekonomi dan Proses Sosialisasi Anak dalam Keluarga (Studi kasus di Kampung Tegallega, Desa Cilanggari, Kecamatan Gunung Halu, Kabupaten Bandung, Propinsi Jawa Barat). Penelitian ini bertujuan untuk : (1) mengetahui karakteristik wanita yang bekerja ke Saudi Arabia. (2) mengetahui faktor-faktor yang mempengaruhi pengambilan keputusan wanita untuk bekerja ke Saudi Arabia. (3) mengetahui dampak bekerjanya wanita sebagai TKW ke Saudi Arabia terhadap kondisi sosial ekonomi keluarga dan masyarakat. (4) mengetahui dampak bekerjanya wanita ke Saudi Arabia terhadap proses sosialisasi anak dalam keluarga.
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Judul: Proses Pemberangkatan Tenaga Kerja Indonesia Wanita Ke  Saudi Arabia (Studi Kasus di PT SS Jakarta)
Abstrak: Tujuan penelitian ini adalah untuk mengetahui latar belakang TKI yang akan berangkat ke Saudi Arabia dan proses pemberangkatannya. Penelitian dilakukan di PT SS Jakarta terhadap 20 orang responden calon TKW yang pertama kali dan berulang ke Saudi Arabia. Pengumpulan data dilakukan dengan kuisioner, wawancara, dan data-data administratif perusahaan. Secara umum, para calon TKI Wanita ke Saudi Arabia berada pada usia produktif kerja (20-30 tahun), sudah kawin, dengan latar belakang pendidikan rendah yaitu SD atau tidak tamat sekolah. Mereka yang berasal dari Pulau Jawa lebih dominan dibandingkan dengan luar Jawa. Motivasi ekonomi menjadi pendorong utama untuk bekerja di luar negeri. Mereka ingin mengangkat ekonomi keluarga dari kemiskinan. Latar belakang suami/orang tua mereka sebagian besar buruh tani, bahkan banyak yang pengangguran. Mereka mendapatkan informasi menjadi TKI sebagian besar dari calo/sponsor. Sedangkan yang menggali informasi sendiri sangat sedikit.
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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