THE EFFECT OF STUDENTS ACTIVENESS IN EXTRACURRICULAR ACTIVITIES TOWARD STUDENT ACHIEVEMENT OF 11th CLASS MAN YOGYAKARTA II ACADEMIC YEAR 2012/2013

This study aimed to determine the effect of students activiness in extracurricular activities toward students achievement MAN Yogyakarta II 11th class academic year 2012/2013. The population in this study were students of 11th class who take extracurricular activities as much 211 students and the sample was 118 students. The data of student activeness in this study were taken with a questionnaire instrument, while for the learning achievement data retrieved by using the method of documentation, namely student report cards. Validity test of the instrument using Product Moment correlation and reliability test using Cronbach Alpha. Data requirements analysis test using the normality test and linearity test, while for hypothesis testing using simple correlation. The results of data analysis showed that the students activeness in extracurricular activities are belong to the category of very high (40%), high (30.5%), fair (22.9%), less (4.2%) and low categories ( 1.7%). As for the learning achievement of students belong to the category of very high (7.7%), high (26.2%), fair (33.9%), less (23.7%), and low categories (8, 5%). The results of hypothesis testing showed that there was a positive and significant effect between students activeness in extracurricular activities toward students achievement at a value rcount (0.761)> rtable (0.195). While the significance value (0,00) < significance level (0,05). Regression equation Y = 43.386 +0.498 X showed that the application of students activiness in extracurricular activities increased by one, then the learning achievement increased 0,498. Determinant value R2 = 0.579 which means that contributions effect of students activeness in extracurricular activities toward student achievement were at 57.9%, while 42.1% were determined by other factors

Pattern discovery for semi-structured web pages using bar-tree representation

Many websites with an underlying database containing structured data provide the richest and most dense source of information relevant for topical data integration. The real data integration requires sustainable and reliable pattern discovery to enable accurate content retrieval and to recognize pattern changes from time to time; yet, extracting the structured data from web documents is still lacking from its accuracy. This paper proposes the bar-tree representation to describe the whole pattern of web pages in an efficient way based on the reverse algorithm. While previous algorithms always trace the pattern and extract the region of interest from \textit{top root}, the reverse algorithm recognizes the pattern from the region of interest to both top and bottom roots simultaneously. The attributes are then extracted and labeled reversely from the region of interest of targeted contents. Since using conventional representations for the algorithm should require more computational power, the bar-tree method is developed to represent the generated patterns using bar graphs characterized by the depths and widths from the document roots. We show that this representation is suitable for extracting the data from the semi-structured web sources, and for detecting the template changes of targeted pages. The experimental results show perfect recognition rate for template changes in several web targets.Comment: 9 page

Reverse method for labeling the information from semi-structured web pages

We propose a new technique to infer the structure and extract the tokens of data from the semi-structured web sources which are generated using a consistent template or layout with some implicit regularities. The attributes are extracted and labeled reversely from the region of interest of targeted contents. This is in contrast with the existing techniques which always generate the trees from the root. We argue and show that our technique is simpler, more accurate and effective especially to detect the changes of the templates of targeted web pages.Comment: 5 pages, Proceeding of the 2009 International Conference on Signal Processing Systems pp. 551-55

GRID Architecture through a Public Cluster

An architecture to enable some blocks consisting of several nodes in a public cluster connected to different grid collaborations is introduced. It is realized by inserting a web-service in addition to the standard Globus Toolkit. The new web-service performs two main tasks : authenticate the digital certificate contained in an incoming requests and forward it to the designated block. The appropriate block is mapped with the username of the block's owner contained in the digital certificate. It is argued that this algorithm opens an opportunity for any blocks in a public cluster to join various global grids.Comment: 5 pages, Proceeding of the 2008 International Conference on Computer and Communication Engineerin