Judul: Analysis the Effect of Fundamental and Technical Variables on Stock Price Bank Industry at Indonesian Stock Exchange
Abstrak: Economic conditions and the Indonesian business world today has evolved in an environment full of changes . In the area of capital each company should be able to obtain additional capital resources or funds which amount is not small . Capital market allows the company long-term sources of funding are relatively cheap from financial instruments in various securities ( securities ) . To invest in the stock market investors require careful considerations . Accurate information that is necessary to know the extent to which the close relationship variables that cause fluctuations in the company's stock price to be purchased . Knowing the influence of these variables , investors can choose a strategy for determining which companies are considered healthy , as a place to invest . The objective of this study is to analyze the dominant variable from the variables that affect the fundamental and technical banking stock price movements have been registered on the Stock Exchange and how to analyze the nature of the relationship and the fundamental variables and technically able to explain the variance ( movement pattern ) on the company's stock price banking - industry company that has been listed in BEI . Object of research is consistent entry in the bank LQ 45 period 2008-2012 . The data used for this study is a secondary data panel . Panel data (pooled data) is a combination of time series data over a period of five years ie from 2008 to 2012 with the data cross ( cross section ) of the five banks in the group LQ 45 in Indonesia Stock Exchange . The method used in this study is the SEM ( Structural Equation Modeling ) with 8.80 Lisrell tools. The results of this study indicate that there are eight independent variables have a effect significant partially on stock prices . These variables are the share sales volume, money supply, deposit interest rates, the exchange rate againts the US Dollar, return on investment, inflation rate, current ratio and the stock price . variable share sales volume has a positive direction and influence of the dominant . The coefficient of determination value ( Adjusted R Square) of 0.97 indicates that contribution of independent variables in explaining the pattern of change in the dependent variable ( stock price ) is quite good .
Keyword: banking industry, fundamental, SEM, stock price, technical

Judul: Analisis Pengaruh Faktor-Faktor Penentu Harga Saham Perbankan di Bursa Efek Indonesia Periode 2008-2012
Abstrak: This study is to examine the effect of earnings information as measured by earnings per share, dividend policy as measured by the dividend per share, profitability as measured by return on assets, systematic risk, and growth opportunities to the stock price (cumulative abnormal returns) banking sector in Indonesia Stock Exchange (IDX). This research uses the entire population of companies listed at the Indonesia stock exchange. Using a purposive sampling technique, the sample in this research is the banking sector companies listed at the Indonesia Stock Exchange period 2008 to 2012. Based on the result of multiple regression analysis with a significance level of 5%, the results of the study is concluded as follows: (1) earnings per share has no effect on stock prices (2) the dividend per share has no effect on stock prices (3) return on assets does not affect stock prices (4) systematic risk has a positive and significant effect on stock prices (5) growth opportunities has a negative and significant effect on stock prices in banking sector at the Indonesia Stock Exchange (IDX).
Keyword: systematic risk., stock price, growth opportunities

Judul: Penyusunan Overlap Graph menggunakan Suffix Tree pada DNA Sequence
Abstrak: The DNA sequence assembly is very important in genome analysis. This step aims to reconstruct contigous DNA fragment (contigs) from short fragment by concatenating fragments based on the overlap region among them. This method employs overlap graph for solving the problems. In this graph, nodes represent fragments and edges represent overlap. This research developed a software for constructing overlap graph using suffix tree. The evaluation was conducted by measuring the number of nodes, number of edges, and the execution time in many values of minimum overlap. The minimum overlap is defined as the minimum length of substring which is considered as the overlap region between two fragments. The evaluation results showed that the number of nodes, the number of edges, and the execution time were increased with the decreasing of the minimum overlap value.
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