Judul: Kajian Perubahan Mutu Biji Kemiri Kupas Pecah selamaPenyimpanan dalam Atmosfer Terkendali
Abstrak: Penyimpanan memegang peranan penting dalam mempertahankan mutu biji kemiri kupas pecah.
Keyword: 

Judul: Pengkajian perubahan karakteristik mutu salak kupas dengan lapis edibel dalam atmosfir termodifikasi
Abstrak: Kondisi masyarakat saat ini sudah makin selektif dalam mengkonsumsi buah- buahan segar sebagai sumber serat, vitamin dan mineral dalam rangka memenuhi kelengkapan zat gizi dari menu makanan. Namun, dengan semakin padat kesibukan kerja, maka dibutuhkan bahan konsumsi yang praktis dan siap dikonsumsi, khususnya buah-buahan, sehingga konsumsi buah-buahan saat ini mengalami peningkatan dibandingkan tahun-tahun sebelumnya. Untuk itulah maka dilakukan penelitian ini, dengan tujuan untuk melakukan pengkajian perubahan mutu dan menentukan hubungan perubahan mutu dari salak kupas dengan lapis edibel melalui uji organoleptik dan masa simpan dalam atmosfir termodifikasi. Salah satu cara untuk mempertahankan mutu buah-buahan agar tetap segar dan tahan lama adalah melakukan penyimpanan dengan MAP (Modified Atmosfir Packaging) dan CAS (Controlled Atmosfir Storage), dimana dengan cara ini kondisi atomosfir diatur sesuai dengan kondisi yang diinginkan dengan suhu yang relatif rendah. Pada penelitian ini dilakukan pengkondisian penyimpanan pada suhu 5°C dan 10°C serta atmosfir termodifikasi pada 7 (tujuh) kondisi yaitu (1) 4±1% O2; 10±2% CO2, (2) 4±1% O2; 14±2% CO2, (3) 4±1% 02; 18±2% CO2, (4) 6±1% O2; 10±2% CO2, (5) 6±1% O2; 14+2% CO2, (6) 6±1% 02; 18±2% CO₂ dan (7) Kondisi atmosfir normal sebagai kontrol, dimana pada masing-masing kondisi dilakukan pengujian secara uji organoleptik dengan mutu hedonik dengan parameter uji organoleptik meliputi parameter warna, kekerasan, rasa dan aroma, dimana untuk semua pengujian parameter tersebut dilakukan 2 hari sekali sampai panelis menolak produk yang disajikan. ...
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