Judul: Penggunaan Ekstrak Pelepah Pisang Ambon Sebagai Sanitizer Kerabang Terhadap Daya Tetas Telur Itik Lokal.
Abstrak: Penggunaan KMnO4 dan formalin 40% untuk fumigasi mesin tetas dan telur tetas untuk membunuh bakteri memiliki potensi bahaya bagi keamanan dan kesehatan operator. Beberapa penelitian sebelumnya menunjukkan ekstrak pelepah (pseudostem) pisang mampu berperan sebagai antimikroba. Penelitian ini bertujuan untuk mengkaji penggunaan ekstrak pelepah pisang ambon (Musa paradisiaca var. Sapientum) konsentrasi 10%, 20%, dan 30% sebagai sanitizer kerabang terhadap daya tetas telur itik lokal. Hasil penelitian menunjukkan penggunaan ekstrak pelepah pisang ambon 10% masih lebih rendah dari telur yang difumigasi. Semakin tinggi konsentrasi ekstrak pelepah pisang, daya tetas telur semakin menurun. Oleh karena itu, perlu dicoba penggunaan ekstrak pelepah pisang di bawah 10%.
Keyword: daya tetas, itik lokal, fumigasi, pelepah pisang

Judul: Penggunaan KMnO4 sebagai Penyerap Etilen pada Buah Pisang Ambon Kuning (Musa paradisiaca L.)
Abstrak: Pisang Ambon Kuning sebagai buah klimakterik memiliki laju kematangan yang cepat akibat etilen, hormon pertumbuhan alami yang mampu memicu proses respirasi dan berdampak pada kematangan buah. Diperlukan suatu metode penanganan pascapanen yang tepat untuk dapat menghambat laju respirasi dan mempertahankan mutu buah pisang, salah satunya dengan menyerap etilen yang dihasilkan buah. Tujuan penelitian ini adalah mengkaji penggunaan KMnO4 sebagai penyerap etilen pada buah pisang Ambon Kuning. Larutan KMnO4 0.15% dan 0.2% dikombinasikan dengan silika gel 10 g dan 15 g ditempatkan di plastik PE berisi pisang. Penyimpanan dilakukan pada suhu ruang (25 – 27ºC) dengan RH 69 – 81%. Parameter yang diukur meliputi laju respirasi, susut bobot, perubahan warna, kekerasan, dan total padatan terlarut (TPT). Daya simpan buah pisang mencapai 12 hari. Hasil pengukuran parameter mutu antara buah dengan perlakuan dan tanpa perlakuan memberikan selisih sebesar 8.13 ml/kg.jam untuk konsumsi O2, 19.31 ml/kg.jam untuk produksi CO2, 2.85% untuk susut bobot, 4.70 untuk nilai L, 1.90 untuk nilai a, 3.18 untuk nilai b, 0.25 kgf untuk kekerasan, dan 1.9%Brix untuk TPT.
Keyword: Ambon Kuning, etilen, KMnO4, silika gel

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