2,313,343 research outputs found

    Analysis Decision Support Systems in Assisting the Marketing Manager at PT. Borsumij Wehry Indonesia Through a Program Microsoft Exel

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    Company Borsumij Wehry Indonesia is a multi division and geographically dispersed, and vertically integrated as the distribution of canned food. This company is typical of today's companies, namely, that the mobilization of resources as an organization is directed to the various markets for the benefit of shareholders groups. But such cases are not common characteristics of many who owned a large company, which is able to profitably use the information system that processes transactions from 20 different organizations with a system together and then present it to the management company quickly. Will obtain the appropriate level of benefits, in addition to control information to determine the basis for organizational components and compared with the plan. Top management received a brief report that shows the benefits of each organization, based on division and overall by a period and the current year, which compared with the plan. Part responsible for the marketing of income data with data submitted contributions are less direct cost of the standard. As far as the involvement of the marketing department, direct costs of the standard is fixed. Therefore, this part of the answer can not be held accountable in maximizing the contribution by varying the items that were under the control of volume, price, customer and product ingredients. The need for hardware and software continue to increase along with the rapid development of computers today. A sophisticated hardware that will not be useful without supported by software that helps in preparing the report as information for each management through computer programs. On this occasion, the author tries to analyze and design a marketing system on PT. Borsumij Wehry Indonesia. Analysis and design of the system is given a lesson in data processing curriculum

    Web-Based Decision Support Systems Application of Stock Recommendation Using Bayesian Methods

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    We propose an application that can support traders by providing recommendation about the right stock transaction. The expected impact from this application is to reduce the risk of loss, even achieve the maximum profit for traders who use this application. Recommendation that resulted by application is based on Bayesian methods calculation and four technical analysis indicators that most commonly used by stock experts, i.e. Bollinger Bands, Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), and Stochastic Oscillator. Methodology used in this paper consists of data collection, data analysisa, application design, implementation, and testing. From the results of application testing, the accuracy of the application is 87,37%

    Decision support systems

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    Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly-designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. DSS belong to an environment with multidisciplinary foundations, including database reasearch, artificial intelligence, human computer interaction, simulation methods, software engineering and telecomunicationdecision support system, decision makers, computer-based

    Integration of decision support systems to improve decision support performance

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    Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

    Engineering Agent Systems for Decision Support

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    This paper discusses how agent technology can be applied to the design of advanced Information Systems for Decision Support. In particular, it describes the different steps and models that are necessary to engineer Decision Support Systems based on a multiagent architecture. The approach is illustrated by a case study in the traffic management domain

    Higher education decision making and decision support systems

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    The authors illustrate several issues in decision support and decision support systems (DSS), state of the art research in these fields, and also their own studies in designing a higher education DSS. The final section contains our contribution in outlining the modules of the DSS, involving the present systems and databases of FSEGA and UBB, results and activities belonging to FSEGA students, teaching and research staff, to assist decisions for all the actors implicated in the processes, in various specific situations.decision support, decision support systems (DSS), higher education institutions, Information and Communication Technologies (ICT)

    Decision support systems

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    –ú–Ķ—ā–ĺ—é –Ĺ–į–≤—á–į–Ľ—Ć–Ĺ–ĺ—ó –ī–ł—Ā—Ü–ł–Ņ–Ľ—Ė–Ĺ–ł: –≤–ł–≤—á–Ķ–Ĺ–Ĺ—Ź —Ā—ā—É–ī–Ķ–Ĺ—ā–į–ľ–ł –ľ–į—ā–Ķ–ľ–į—ā–ł—á–Ĺ–ł—Ö –ľ–ĺ–ī–Ķ–Ľ–Ķ–Ļ —Ā–ł—Ā—ā–Ķ–ľ –Ņ—Ė–ī—ā—Ä–ł–ľ–ļ–ł –Ņ—Ä–ł–Ļ–Ĺ—Ź—ā—ā—Ź —Ä—Ė—ą–Ķ–Ĺ—Ć —ā–į –į–Ľ–≥–ĺ—Ä–ł—ā–ľ—Ė–≤ –Ņ–ĺ–Ī—É–ī–ĺ–≤–ł —Ä—Ė–∑–Ĺ–ł—Ö —Ā–ł—Ā—ā–Ķ–ľ –Ņ—Ė–ī—ā—Ä–ł–ľ–ļ–ł –Ņ—Ä–ł–Ļ–Ĺ—Ź—ā—ā—Ź —Ä—Ė—ą–Ķ–Ĺ—Ć.–¶–Ķ–Ľ—Ć—é —É—á–Ķ–Ī–Ĺ–ĺ–Ļ –ī–ł—Ā—Ü–ł–Ņ–Ľ–ł–Ĺ—č: –ł–∑—É—á–Ķ–Ĺ–ł–Ķ —Ā—ā—É–ī–Ķ–Ĺ—ā–į–ľ–ł –ľ–į—ā–Ķ–ľ–į—ā–ł—á–Ķ—Ā–ļ–ł—Ö –ľ–ĺ–ī–Ķ–Ľ–Ķ–Ļ —Ā–ł—Ā—ā–Ķ–ľ –Ņ–ĺ–ī–ī–Ķ—Ä–∂–ļ–ł –Ņ—Ä–ł–Ĺ—Ź—ā–ł—Ź —Ä–Ķ—ą–Ķ–Ĺ–ł–Ļ –ł –į–Ľ–≥–ĺ—Ä–ł—ā–ľ–ĺ–≤ –Ņ–ĺ—Ā—ā—Ä–ĺ–Ķ–Ĺ–ł—Ź —Ä–į–∑–Ľ–ł—á–Ĺ—č—Ö —Ā–ł—Ā—ā–Ķ–ľ –Ņ–ĺ–ī–ī–Ķ—Ä–∂–ļ–ł –Ņ—Ä–ł–Ĺ—Ź—ā–ł—Ź —Ä–Ķ—ą–Ķ–Ĺ–ł–Ļ.The purpose of discipline: study of mathematical models of decision support systems and algorithms for various decision support systems
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