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The purpose of this study is to analyze the influence of BOPO, NPL, NIM and CAR on thefinancial performance of banks listed on the Indonesia Stock Exchange in the period 2006 to 2009.Samples were taken based on purposive sampling of 28 banking companies with the followingcriteria: the company issued financial statements for four consecutive years ie 2006 to 2009. Thetype of data used are secondary data and data collection methods through technicaldocumentation. Analysis technique used is normality test, the classical assumption, and multiplelinear regression based on the merging of data time series and cross section called the polleddata. The results showed that variables significantly and negatively related BOPO against thebank's financial performance, the NPL variable has negative and significant impact on thefinancial performance of banks, NIM variable has positive and significant impact on the financialperformance of banks and CAR does not affect the bank's financial performance. The ability of thebank's financial performance could be explained by variables BOPO, NPL, NIM and the CAR of97.5%, Sebagimana shown by the Adjusted R-Square of 0.975. The remaining 2.5% is explained byother factors outside the model.Key Words: BOPO, Non-Performing Loans, Net Interest Margin, Capital Adequacy Ratio and thebank's financial performance.

This research is a study that tested the effect of Financial Condition, Audit Quality, Audit Opinions ofPrior Year, the Company’s Growth, Opinion Shopping of the acceptance of Going Concern in themanufacturing companies listed at Indonesia Stock Exchange. In this study, researchers usedpurposive sampling and sample size to obtain a sample of 80 manufacturing companies listed on theStock Exchange in the year 2006-2009. The method of analysis used was logistic regression. Theresults of this study indicate Financial Condition, audit quality and Opinion Shopping do not affect thegoing concern opinion reception while the previous year's audit opinion and the Company Growtheffect on the acceptance of going-concern opinion.This study’s limitation is the study sampling periodis only 4 years old so not ideal for seeing a trend of the influence of financial condition other models,like another Alman Model Revisi. Therefore advisable to consider for using other main variable andbanking company as research source in the future studies to discover the difference.Keywords: Going Concern, Financial Condition, Quality Audit, Audit Opinions Prior Year, CompanyGrowth, Opinion Shopping

Several models have been constructed to analyze and understand the factors that influence theacceptance of the use of computer technology such as Theory of Reasoned Action (TRA), Theoryof Planned Behavior (TPB) and Technology Acceptance Model (TAM). Another model developedby Doll and Torkzadeh (1988) is a model of End User Computing Satisfaction (EUCS). Thisresearch is the study on the TAM and EUCS model of the acceptance and user satisfaction ofcomputer based information system (CBIS). Purpose of this study is trying to use and test the twomodels of acceptance technology, the TAM and EUCS models by examining their influence on theuse and utilization of systems that will ultimately affect the level of user satisfaction (usersatisfaction) as an indicator of the success of a system. Samples used in this study were obtainedfrom the sampling technique based on the criteria (purposive sampling)of a trading company inSemarang, Central Java on the sub-sector (according to the incorporated trading companydirectory-BPS). Test of the hypothesis is formulated using regression models. Three of the sevenstated hypothesis is rejected, while based on the results of the indirect analysis it can be concludedthat the variable utility (usefulness), ease of use, accuracy and timelines in the use of a system alsoaffects the user’s satisfaction.Key Words: Technology Acceptance Model, End User Computing Satisfaction, Computer BasedInformation System, User’s Satisfaction.

This study examined variables that predict employee turnover intentions. Influence of trust in the organization as a mediator variable in this relationship was also examined. Questionnaires completed by 380 employees of the company's operating divisions garment. Hierarchical regression analysis used to test this relationship. The results was supported the hypothesis, the result states that in order to enhance the trust of employees in the organization and to reduce turnover intentions, garment companies needs to maintain the continuity and development of training programs, conduct a formal and fair appraisal system , provide a clear and adequate career progression for employees. Suggestions and limitations for future research are also given.

This study seek to examined factors that affect the timeliness of corporate internet reporting (CIR) in listed companies on the Indonesian Stock Exchange. Key factors used firm characteristics (firm size, type of bussiness, profitability, leverage, liquidity, issuance of stock) and corporate governance variables (public ownership structure, proportion of supervisory board and supervisory board size).Population of this study was Indonesian Listed Company in 2008 at Indonesian Stock Exchange .The sample was 195 firms Based on purposive sampling technique. Multiple regression analysis used to test the hypothesis.The regression analysis found that a significant relationship between the timeliness of CIR and firm size. However, others variable like type of bussiness, profitability, leverage, liquidity, stock issues, public ownership structure, proportion of supervisory board and supervisory board size was not significant relationship with timeliness of CIR.. This results indicated that firms typically in big size se modisclore timely information on their web sites

This study analyzes the effect of receive, tariffs and quality perceptions of the learning process and service to increase interest. The formulation of the questions examined in this study were 1). What impact will influence the perception of market acceptance for graduates of interest in selecting majors AN? 2). What impact do perceptions influence the rates of interest specified AN AN chose? and 3). What impact will influence the perception of the quality of the learning process and service in the AN of interests to choose majors AN? Furthermore, variables and indicators of research is also based on previous research.A model has been developed and three hypotheses have been formulated to address this research problem. The sampling technique was purposive sampling and quota sampling. Respondents from this study amounted to 100 respondents, where respondents were students of the Department AN Semarang State Polytechnic. Data analysis tool used is Structural Equation Modelling (SEM) in AMOS 16.0.The results of this study data analysis shows the model and research results were well received, and further research is proving the influence of perception on the market acceptance of graduates AN interest in the Department of the AN is positive an  significant. Effect of tariff AN Perception of interest in the Department of the AN is not significant. Then the influence of the effectiveness of advertising on consumer buying behavior is positive and significant. And the influence of the learning process and service quality in the AN of interest in the Department is positive and significant.

Supply chain business network that explained as an organization network that involve supplier relationship upstream) and customer downstream). Effectivity of integration on supply will be the key factor for company to reach continuous improvement that make company became competitive.The difference result in applying integration pattern, could be seen at restaurant sector, dept food and beverage (hotel) and fact food restaurant. Theunderlined is that each sector are different in integration factor and the influence to company performance. Based on that problem, the research question is : how the integration pattern characteristic of supply chain and implementation ( direction and level) from each sectors. Sample amount of this research is 31 company that include of 15 restaurant, 10 dept food and beverage hotel and 6 fast food restaurant.Based on the result of regression equation knows that integration pattern supply chain management positively affecting dept food and beverage company performance in Semarang. Variation of variabel company performance that can be explained by variation of integration pattern supply chain management is 69% and the rest 31% affecting by another variable outside variable that used in this research.There is a significance difference between restaurant in Semarang that consist of restaurant, food and beverage division and fastfood restaurant with integration pattern supply chain management and company performance.

This study intent to search several variables’ effect which is probably able to rise loyalty and firm performance. The study used several customer of WAN HAI Ltd in Midle of Java as sample. Data analyze instrument used by the writer is AMOS 4.Data analyze result shows that the research model has well appropriateness andall hypothesis of the study are able to be evidenced. Summary said that satisfaction,reputation, price, are positively effected to loyalty, and loyalty are positively effected tofirms performance.Result of research proves that satisfaction, reputation, and price has positive influence and significant to loyalty. Loyalty has positive influence and signifaicant to firm performance. Managerial implication given to the company is suggestion or input to management to concern the price factors, as it is the most dominant factor effected to loyalty. The research’s limitation is that it is case study so that the result is not able to be generalized

Investor always hoping to get return in their investation of stock. Purpose of this research is to analyse independent variable that consist of return asset on and debt to equity ratio manufacturing company listed of Indonesia Stock Exchange (IDX).Sample of this research is 113 manufacturing company in IDX with method purposive non random sampling. This research used multiple regression test is done by normality test, variation test of classic assumption (multikolinearity, heteroskedastisity and autocorrelation), hypothesis test ( t and F) and test coefficient of determination.The result of this research that return on asset have positive influence and doesn't signifikan to stock return listing manufacturing campany of Indonesia Stock Exchange. Debt to equity ratio has negatif influence signifikan to stock return manufacturing company listing of Indonesia Stock Exchange.

Decision Support System couple the intellectual resource of individuals with the capabilities of the computer to improve the quality of decision. It's a computer based support system for management decision makers who deal with semi-structured problem. An integrated decision support system for use in an machine mollen product has been developed. It incorporates a linear Programming model that represents the contribution optimal and optimizes the production water pump and mollen machine. An optimization model is performed using a management scient model called linear programming approach in older to determine media selection. To use this model, the DSS needs ti interface with another software. Mathematical Programming is a technique used in mathematical models, particularly optimization models, to assist in decision making. The Simplex Method is "a systematic procedure for generating and testing candidate vertex solutions to a linear program." (Gill, Murray, and Wright, p. -137) It begins at an arbitrary corner of the solution set. At each iteration, the Simplex Method selects the variable that will produce the largest change towards the minimum (or maximum) solution. The  development of computer programs to be used as Decision Support Systems involves several tasks such as mathematical modeling, technical and data collection and development of a user friendly interface.

When creating databases for GIS-applications often existing maps are scanned and vectorised for used. However, vectorisation becomes obsolete when GIS-objects can be referred to both in theme and geometry in a raster environment. This article shows to use model spatial data raster and vector for GIS - applications in both the graphical and image structure. Geographical data must first be converted into a computer- readable format before it can be used in a GIS. Spatial data are "elements that can be stored in map form." These elements correspond to a uniquely defined location on the Earth's surface. Spatial data have also been describe as “any data concerning phenomenon a really distributed” in two or more dimensions. (Peuquet and Marble, I990.) Data model is the rules to convert real geographical variation into discrete objects. There are two main GIS data models - vector and raster. Each of the two data models has specific types of data, analysis and displays that can handle better than the other system. The vector model represents geographical reality as a series of discrete objects or features, classified as points, line's or areas (polygons). The geographical co-ordinates describing the locations of these features are stored in the computer database which lies at the heart of the GIS. In the raster model a regular grid of cells, or pixels, is used to encode the features found on the earth's surface. Each pixel has a number associated with it representing; the value of a geographical phenomenon, such as terrain elevation, soil type or biomass. Layers of raster grids covering the same region can be built up to represent further variables.