Judul: Mempelajari pengaruh perendaman dalam cacahan daun pepaya terhadap mutu dan kandungan kapur tripang kering
Abstrak: milik Tujuan penelitian ini adalah untuk mempelajari dan mengetahui pengaruh perendaman tripang dalam cacahan daun pepaya terhadap mutu tripang terutama kandungan kapurnya. Penelitian ini dilakukan selama satu bulan, sejak awal 1990 di Desa Junganyar, Bangkalan-Madura. Bahan yang Juli digunakan adalah tripang pandan (Ypsilothuria sp) berasal dari Desa Junganyar, Kecamatan Socah, Bangkalan-Madura. Analisa kimia dilakukan di Laboratorium Balai Pusat Pengem- bangan Hasil Pertanian (AP4) Institut Pertanian Bogor. Parameter yang diamati adalah uji organoleptik, yaitu tentang penerimaan atau kesukaan konsumen yang meliputi penampakan, tekstur dan bau tripang kering. Sedangkan analisa kimia meliputi kadar protein, abu, kapur dan air. Sebagai alat bantu untuk menarik kesimpulan digunakan cangan percobaan acak lengkap (RAL) terdiri dari lima perlakuan dikenakan ulangan tiga kali. dan ran- faktor tunggal yang masing-masing perlakuan Berdasarkan hasil analisa sidik ragam menunjukkan bahwa perlakuan konsentrasi daun pepaya tidak memberikan pengaruh yang nyata terhadap kadar protein dan air. Kadar protein ...
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Judul: Pengaruh beberapa zat pengaturr tumbuh terhadap daya simpan dan kualitas buah pepaya (Carica papaya L.)
Abstrak: Penelitian ini bertujuan mempelajari pengaruh putresin, GA3, ethephon, kom­ binasi ethephon+putresin, ethephon+GA3, dan putresin+GA3. Penelitian ini juga bertujuan mempelajari zat pengatur tumbuh yang paling efektif terhadap penundaan pemasakan buah pepaya. Penelitian ini dilaksanakan dari bulan Maret 1997 sampai April 1997 di Laboratorium Pasca Panen, Jurusan Budidaya Pertanian dan Laborato­ rium Pilot Plant PAU Pangan dan Gizi, IPB. Bahan yang digunakan adalah buah pepaya dengan tingkat kematangan 10% kuning pada kulit buah. Rancangan yang digunakan dalam percobaan ini adalah Rancangan Acak Kelompok. Percobaan ini terdiri atas satu faktor, yaitu jenis zat pengatur tumbuh. Jenis zat pengaturtumbuh yang digunakan.adalah putresin (10 mM), GA3(200 ppm), ethephon (100 ppm), kombinasi ethephon (100 ppm)+putresin (10 mM), ethephon (100 ppm)+GA3 (200 ppm), putresin (10 mM)+GA3 (200 ppm). Pengamatan dilakukan terhadap peubah-peubah perubahan warna kulit buah, susut bobot, kelunakan, total asam, vitamin C, padatan terlarut total (PTT), rasa dan penampakan buah. Pengamatan terhadap peubah susut bobot, kelunakan, total asam, kandungan vitamin C dan PTT dilakukan pada 0, 3, 6, dan 9 HSP. Pengamatan ter­ hadap perubahan warna kulit buah, rasa dan penampakan dilakukan pada 3, 6, dan 9 HSP.
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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