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Peramalan Multi Atribut dengan Menggunakan Fuzzy Clustering ( Studi kasus : Stock Price)

Fariska, Muhammad and Fariza, Arna and S, Yuliana (2010) Peramalan Multi Atribut dengan Menggunakan Fuzzy Clustering ( Studi kasus : Stock Price). EEPIS Final Project.

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    In recent decade, stock market is one of the source to reach prosperity for all people around the world. Stock market is place that an individual or financial institution can do transaction stock from go public enterprise on effort to increase prosperity of analysing market movement that is capital gain. Stock is liquid asset that can more easy to sell than conventional way like savings. in this project , we use technical analysis because this methode can analyse short term forecasting acurately. Fuzzy Clustering has many use in statistic field, for example time series forecasting. Time series analysis use to do analyse data of variabel observation that arrange following time. It is very important especially if we just have a lot of historycal data and we don't involve other factor that influence system. Various forecasting methode have used and produce vary accuration. Effort to get good accurate in forecasting is still to do. Forecasting technic is used to planning process and to make decision. Forecasting show prediction what will happen on the nexy day in the certain circumstance. The other way, planning use to forecasting to help forecaster to choose the best alternatif. So forecasting try to predict what will happen. In this final project, forecasting use fuzzy clustering method. To give a good result forecast, parameter in fuzzy c-means is number of cluster, fuzziness value to get accurate forecasting

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Mrs Hani Syarifati
    Date Deposited: 15 Apr 2011 21:55
    Last Modified: 15 Apr 2011 21:55

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