Judul: Business Feasibility Analysis of Red Ginger Essential Oil (Case Study in PT. Musim Panen Harmonis)
Abstrak: Setiap tahunnya, konsumsi minyak atsiri dunia meningkat sebesar 8-10%. Jahe merah merupakan salah satu tanaman penghasil minyak atsiri yang memiliki potensial tinggi di pasar dunia. PT Musim Panen Harmonis merupakan salah satu perusahaan yang bergerak di bidang usaha pengolahan minyak atsiri dan berkeinginan melakukan usaha penyulingan minyak jahe merah. Penelitian ini dilakukan untuk menganalisis kelayakan usaha berdasarkan aspek non finansial dan aspek finansial, serta analisis sensitivitas terhadap komponen penurunan harga jual minyak jahe merah. Metode analisis yang digunakan adalah analisis kelayakan usaha aspek non-finansial, finansial, dan analisis sensitivitas. Hasil analisis menunjukkan bahwa aspek non finansial yang terdiri atas aspek pasar, aspek teknis, aspek manajemen dan hukum, aspek sosial dan ekonomi, dan aspek lingkungan usaha ini layak untuk dijalankan. Berdasarkan hasil analisis finansial usaha layak dijalankan dengan nilai NPV positif, Net B/C >1, IRR > discount rate (5,02%) dan Payback Period < umur bisnis. Hasil daripada analisis sensitivitas menunjukkan bahwa usaha sensitif terhadap penurunan harga jual minyak jahe merah.
Keyword: Business Feasibility Analysis, Sensitivity Analysis, Red Ginger Essential Oil

Judul: Analisis Kelayakan Usaha Minyak Serai Wangi pada Kondisi Risiko (Studi Kasus PT. Musim Panen Harmonis).
Abstrak: Minyak serai wangi merupakan salah satu komoditas minyak atsiri yang mempunyai potensi untuk diusahakan. PT. Musim Panen Harmonis adalah perusahaan dalam bidang produksi minyak serai wangi. Bisnis budidaya dan penyulingan serai wangi membutuhkan modal yang besar, serta dalam usaha terdapat risiko produksi dan harga yang akan memengaruhi kelayakan usaha tersebut. Metode penelitian yang digunakan dalam penelitian meliputi analisis kelayakan aspek non-finansial, aspek finansial, dan analisis skenario dengan penilaian risiko. Berdasarkan analisis, usaha PT. Musim Panen Harmonis layak secara aspek non-finansial dan aspek finansial. Pada kondisi normal, nilai dari NPV sebesar Rp 7 415 711 072, IRR sebesar 14.02 persen, Net B/C sebesar 1.65, dan Payback period selama 9 tahun 1 bulan. Hasil analisis finansial dengan kondisi risiko juga menghasilkan nilai yang memenuhi standar kriteria investasi. Berdasarkan analisis penilaian risiko dapat dikatakan bahwa risiko produksi memiliki tingkat risiko yang lebih tinggi daripada risiko harga. Hal ini berarti ketika PT. Musim Panen Harmonis dihadapkan pada risiko produksi, maka tingkat risiko atau peluang kejadian kerugian yang ditimbulkan akan tinggi.
Keyword: Citronella Oil, Studi Kelayakan Bisnis, Penilaian Risiko

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