Judul: Hubungan antara pengetahuan gizi dengan persepsi mengenai keamanan pangan jajanan pada guru SD di Bogor
Abstrak: The general objective of this study was to investige nutritional knowledge and perception about food safety of teacher elementry school in Bogor. The research was conducted using a cross sectional study. The number of samples for each region was 23, sample was selected purposively. The percentage of nutritional knowledge level was 65.2% in rural area and 87% in urban area. The percentage of food safety knowledge level was 69.6% in rural area and 69.6% in urban area. The percentage of perception about food safety level was 78.3% in rural area and 95.7% in urban area. The result of independent sample t-test toward characteristic sample, nutritional knowledge, food safety knowledge, and perception about food safety indicate there was no difference (p>0.05) beetwen rural area and urban area, but there was a few characteristic sample which indicate there was a real difference (p<0.05) beetwen rural area and urban area.The result of correlation spearman test indicate there was no significant correlation (p>0.05) beetween characteristic samples with nutritional knowledge, except one characteristic sample that was training/meeting about nutrition indicate there was significant correlation with nutritional knowledge (p<0.05). The result of correlation spearman test indicate there was no significan correlation (p>0.05) beetwen characteristic sample with food safety knowledge. The result of correlation spearman test indicate there was no significant correlation (p>0.05) beetwen nutritional knowledge with food safety knowledge, nutritional knowledge with perception about food safety, and food safety knowledge with perception about food safety.
Keyword: 

Judul: Persepsi guru sekolah dasar pada media pendidikan gizi terkait perilaku gizi dan keamanan pangan
Abstrak: Teacher had an important role toward the introduction of nutrition and food safety at school as a basic for student eating custom and safety development. Teacher standarization of nutrition and food safety knowledge would have an influence to the student knowledge. The teachers might be the sample for their student in eating nutrition habit and food safety. It remind us how important the meaning of nutrition education and food safety for students elementary school in order to formed good eating and healthy, so we need a teacher who good behavior related to the nutrition and food safety. The general purpose of this study was to analyze the influence of knowledge, attitude, practices related to nutrition and food safety toward the teachers perception on the nutrition education media according to the region and school accreditation, meanwhile the specific purpose of this study were (1) to analyze the social economic teacher’s characteristic, (2) to analyze the teacher’s knowledge, attitude, practices related to nutrition and food safety, (3) to analyze the teacher’s perception on media, such as moduls, leaflets, posters, flip chart and nutrition education booklets, and (4) to analyze the influence of nutrition behavior and food safety toward the teacher’s perception on nutrition education media. The design of the study was cross sectional study. The location of the study was at Lawanggintung 01 Elementary School (A accreditation) and Cimangu Kecil Elementary school (B accreditation) in Bogor urban, Pajeleran 01 Elementary School (A accreditation) and Kotabatu Elementary School (B accreditation) in Bogor rural. The teacher’s in this study were active teacher’s and had willing to filled the questionnaire and there were 68 teachers. This study was a part of the study “Developing Model of Healthy Street Food on Elementary School” by SEAFAST center–LPPM Bogor Agricultural Institute, the study started from July 2009 to June 2010. The primary data include the social economic characteristic (gender, age, level of education, length of worked as teacher, family member, and level of family income), behavior (knowledge, attitude, practice) related to nutrition and food safety, teachers perception to the nutrition education media. The primary data did by filling the questionnaire. Secondary data include the general school condition which got from questionnaire. Data processing and analyzing were processed by computer programme microsoft excell and Statistical Program for Social Science (SPSS) version 16.0 for windows. Generally female techers (75%) were more than male (25%). The age of the teaches at middle aged group (61.8%) and the average of the teachers age both male of female were 42.3 years old. The level of elementary teacher school were S1 (47.1%) and diploma (47.1%), the length of worked as teacher between 21-30 years (42.6%), whereas family member 77.9%, teacher family which was include small family category (≤ 4 person), 55.9% teachers had income in the range Rp500 000 – Rp1 000 000 capita/month. The result of the analysis showed that 50% teacher elementary school had medium knowledge about nutrition and food safety, but when it viewed from school accreditation it told that the school which had A accreditation (medium category 54.76%) was better than school
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