Judul: Peluang Terjadinya Diare Akibat Konsumsi Produk Hewani di Kecamatan Bogor Barat
Abstrak: Diarrhea is still one of public health’s major problems in Indonesia, both in terms of morbidity or death. The main risk factor of diarrhea and foodborne disease cases is due to consumption of animal products with poor handling, including cross contamination from raw food to cooked products, insufficient cold storage temperature, insufficient temperature and cooking time, and poor handling process after the cooking process. Therefore, it is necessary to determine exposure opportunities because of animal products. Those exposure opportunities are calculated based on the number of attack risk (AR), which shows the percentage of exposed people who get diarrhea when they are eating or not eating certain types of animal products. While the relative risk of animal products that can cause diarrhea is calculated based on comparison attack risk (AR) an exposed people who eating or not eating certain types of animal food products. It is also known as relative risk (RR). Based on survey on 400 respondens (housewifes) in West Bogor, there are six main animal food products that cause diarrhea. There products are baked fish, seasoning chicken, and semur meat. The result showed that the animal food products infection are baked fish (RR=4.11), seasoning chicken (RR=3.58), semur meat (RR=1.85), baked chicken (RR=1.76), seasoning fish (RR=1.53), and salt fish (RR=1.31). The highest RR value has great effect to cause numbers of diarrhea incidence due to consumption of animal products.
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Judul: Penentuan tingkat kerentanan dan karakteristik curah hujan pada penyakit diare (Studi Kasus: Kabupaten Bogor)
Abstrak: Diarrheal disease remains a public health problem in developing countries such as Indonesia because of its morbidity and mortality are still high. Determination and mapping the vulnerability of the region and precipitation characteristics are important to be analyse in order to determine the vulnarable areas and rainfall condition so that it can be used to anticipate the incidence of diarrheal diseases. Determination category of normal rate of diarrhea IR is based on diarrhea IR by DINKES Bogor in the amount of 20-25 / 1000 population per year, whereas the determination of precipitation category is based on consideration of Oldeman climate classification. The results of the analysis based on the value of the average annual IR, there are two districts with very high levels of vulnerability, namely districts Cisarua and Cijeruk, while for other regions, diarrheal disease vulnerablity rates are at a moderate level. The correlation of the precipitation is significant negative linear to the incidence of diarrhea in the district Cisarua, Cibinong, Jonggol, and Jasinga. In districts Cibinong, Jonggol, and Jasinga, precipitation should be anticipated as the high incidence of diarrhea that is in the range of 100-200 mm/month, while in the district Cisarua, is in the range of 300-400 mm/month.
Keyword: the level of vulnerability, IR category, precipitation category, incidence rate, precipitation, Bogor Agricultural University (IPB)

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