Judul: Analisis Dampak Kenaikan Cukai terhadap Permintaan Rokok di Kota Bogor
Abstrak: Cigarette demand in Indonesia continues to increase significantly. This makes the government issued a policy to increase the tax on cigarettes commodity. The increase in the cigarette tax policies are expected to reduce demand for cigarettes in the community but with the imposition of the tax policy of many of some parties consider that the tax increase will lead to new issues, such as the welfare of tobacco farmers and cigarette factory workers become unemployed. The purpose of this study is to look analyze the impact of tax increases on cigarette demand and the factors that influence the demand for cigarettes in Bogor. Data were obtained from questionnaires (primary) by means of interviewing with parties related to cigarette which includes the identity of respond ents, education, income, age, type of work and some other things related to cigarette demand as the price of cigarettes smoked and duration of smoking. The results showed that the price does not significantly influence the demand for cigarettes in Bogor. Variable income, smoking duration and the dummy type of work are significantly and positivly effect cigarette demand in Bogor, while the level of education and age, are significantly and negatively effect cigarette demand in Bogor.
Keyword: Bogor Agricultural University (IPB), Multiple Regression, Cigarette Demand, Price, Bogor

Judul: Faktor-faktor yang Memengaruhi Konsumsi Rokok Kretek : Studi Kasus di Kecamatan Bogor Barat
Abstrak: Indonesia has 33 provinces which are scattered over its area. West Java is the second highest province in term of prevalence of smoking habit for age groups 10 and above. Among counties and cities in West Java, Bogor is a city with largest number of cigarette consumer in West Java in term of prevalence of smoking habit for age groups 10 and above. The purposes of this study are to analyze: 1) Characteristic of cigarette comsumers that are live in West Bogor Subdistrict; 2) Factors that influence consumption of cigarettes in West Bogor Subdistrict. This study uses primary and secondary data. Poisson regression analysis is applied in this study as method of analysis. The results of this study indicate that: 1) characteristics of respondents are senior high school graduate, married, trader, 27 to 38 years old. They have monthly income more than Rp3 500 000. The price of clove cigarette consumed is about Rp900 to Rp1 075. The price of subtitute cigarette is about Rp761 to Rp1 020. The price of complementary good purchased by respondents is about Rp2 600 to Rp5 000; 2) Factors that influence consumption of clove cigarette in Bogor are price of clove cigarette, price of subtitute cigarette, price of complementary good, age, and education level.
Keyword: Bogor Agricultural University (IPB), consumption of clove cigarette, characteristics of smoker, poisson regression analysis

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