Judul: Komsumsi dan ketahanan pangan rumahtangga menurut tipe agroekologi di wilayah kabupaten Pasuruan, Jawa Timur
Abstrak: Tujuan penelitian ini adalah (1) Mempelajari keragaan konsumsi pangan rumahtangga pada dua tipe agroekologi; (2) Mempelajari tingkat kecukupan gizi rumahtangga dan status gizi pada dua tipe agroekologi; (3) Mempelajari perilaku rumahtangga (coping mechanism) apabila terjadi gangguan ketahanan pangan pada dua tipe agroekologi; (4) Mengidentifikasi indikator dan tingkat ketahanan pangan rumahtangga pada dua tipe agroekologi; (5) Mempelajari faktor-faktor determinan yang mempengaruhi ketahanan pangan rumahtangga pada dua tipe agroekologi.
Keyword: Konsumsi pangan, agroekologi, Ketahanan pangan

Judul: Konsumsi dan ketahanan pangan rumahtangga peserta program pemberdayaan keluarga di desa Cikaroya dan Ciwalen, kecamatan Warung Kondang, Cianjur, Jawa Barat
Abstrak: Penelitian ini secara umum bertujuan untuk mengetahui dan mempelajari konsumsi dan ketahanan pangan rumahtangga sebelum dan sesudah pemberdayaan keluarga. Secara khusus bertujuan untuk mengetahui karakteristik demografi rumahtangga, mengetahui konsumsi pangan rumahtangga dan mengetahui ketahanan pangan rumahtangga sebelum dan sesudah pemberdayaan serta mempelajari cara rumahtangga mengatasi (coping mechanism) apabila terjadi gangguan ketahanan pangan. Desain penelitian adalah "Experiment Before-After Design" dengan tempat penelitian di Desa Cikaroya dan Ciwalen, Kecamatan Warung Kondang, Cianjur pada Bulan Juli sampai dengan Desember 2000 dan merupakan bagian dari penelitian payung yang dilaksanakan Jurusan GMSK IPB dengan tema "Pemberdayaan Keluarga Menuju Ketahanan Pangan dan Perbaikan Gizi Melalui Partisipasi Aktif Masyarakat". Contoh yang diteliti adalah rumahtangga dengan kriteria Keluarga Pra Sejahtera (Pra KS), dan Keluarga Sejahtera I (KS I). Dari masing-masing desa diambil rumahtangga yang termasuk dalam keriteria Pra KS dan KSI. Untuk Desa Cikaroya populasinya sebanyak 459 rumahtangga, sedangkan dari Desa Ciwalen populasinya sebanyak 489 rumahtangga, masing-masing diambil 25 rumahtangga sebagai penerima paket pemberdayaan keluarga. Dari total 50 rumahtangga sebanyak 32 rumahtangga memenuhi syarat sebagai contoh dalam penelitian ini dan menjalani sampai akhir program.
Keyword: Ketahanan pangan

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