Judul: Analisis faktor-faktor yang mempengaruhi produksi usahatani paprika hidroponik di Kecamatan Parangpong Kabupaten Bandung
Abstrak: Paprika merupakan salah satu komoditas hortikultura yang bernilai ekonomis tinggi karena banyak diminta oleh swalayan dan hotel, serta dalam pengelolaan dibutuhkan teknologi tinggi, modal besar untuk investasi dan kegiatan produksi. Banyak para petani yang berusaha mengusahakan paprika secara hidroponik dalam greenhouse. Budidaya hidroponik ini memiliki beberapa keunggulan yaitu mutu produksi dapat dijamin karena kebutuhan nutrisi tanaman dipasok secara terkendali, dan pembudidayaannya tidak tergantung musim dan panen dapat diatur sesuai dengan kebutuhan pasar sehingga hasil dan kualitas tinggi. Paprika Indonesia sudah diekspor ke beberapa negara diantaranya adalah Belanda, Hongkong, Singapura, dan Taiwan.
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Judul: Analisis Saluran Pemasaran Paprika Hidroponik di Desa Cigugur Girang, Kecamatan Parongpong, Kabupaten Bandung, Jawa Barat
Abstrak: Pengembangan agribisnis sayur-mayur di Indonesia ditujukan dalam rangka melanjutkan usaha untuk mewujudkan swasembada pangan, meningkatkan kualitas gizi masyarakat dan meningkatkan devisa negara dengan menjadikan sayur-mayur sebagai salah satu komoditi ekspor andalan. Paprika (Capsicum annum var. grossum) adalah salah satu jenis sayur-mayur yang relatif baru dan memiliki prospek cukup baik untuk dikembangkan, karena adanya permintaan pasar yang terus meningkat. Negara yang menjadi tujuan ekspor paprika Indonesia adalah Belanda, USA, Eropa, Jepang, Taiwan, Hongkong dan Singapura. Kabupaten Bandung merupakan salah satu sentra produksi paprika di Jawa Barat yang perkembangan produksinya mengalami peningkatan. Paprika yang ditanam secara hidroponik memiliki beberapa keuntungan, salah satunya adalah kuantitas dan kualitas produk lebih baik dibanding hasil penanaman secara konvensional.
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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