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首页> 外文会议>East Indonesia Conference on Computer and Information Technology >Information Extraction From ICMD Documents To Determine The Ratio Factors Function Performance using Fuzzy
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Information Extraction From ICMD Documents To Determine The Ratio Factors Function Performance using Fuzzy

机译：从ICMD文档提取信息，以确定使用模糊的函数性能

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Economic development in Indonesia is classified as increasing in line with the reduction in the inflation rate, which has a percentage of less than 7%, this has the potential to make investors interest to invest. Stock investment is an instrument that has been chosen. One of the considerations in buying shares is by looking at the performance of companies that have been published by Bank Indonesia (BI) through the Indonesian Capital Market Directory (ICMD). Investment analysis and prediction is important to improve economic quality, and to carry out such analysis and prediction, it requires some information about the object or target to be invested. The need for information extraction is because the available documents are still in raw form, making it difficult for analysis and computation. From these problems, a solution has emerged to perform data extraction by performing extraction stages such as preprocessing, table recognition, table decomposition, application of extraction algorithms and evaluation. With the extraction of information carried out, it produces crucial information which will later be analyzed and predicted for investment activities. The prediction is done by applying fuzzy logic as a fundamental method of making predictions. The input used to make predictions obtained from information extraction includes CR (Current Ratio), TAT (Total Asset Turnover Ratio), DER (Debt to Equity Ratio), GPM (Gross Profit Margin), ROA (Return of Assets), and ROE (Return on Equity) with the output value of PG (Profit Growth) which is a reference for investment or not investment. Using calculated profit growth in the next year will provide advice to potential investors whether to invest in the company or not. To test the feasibility of the system in this study, the Fuzzy System uses the MAPE (Mean Absolute Percentage Error) approach which results in an average MAPE value of 0.2528. And for the extraction of information using the F1score evaluation got a value of 0.94.
机译：印度尼西亚的经济发展归类为符合股票率的减少，这一百分比少于7％，这有可能使投资者投资的兴趣。股票投资是已选用的仪器。购买股份的考虑因素是通过印度尼西亚银行（BI）通过印度尼西亚资本市场目录（ICMD）的公司的表现。投资分析和预测对于提高经济质量来说是重要的，并且执行此类分析和预测，它需要有关投资的对象或目标的一些信息。对信息提取的需求是因为可用文件仍然是原始形式，使得分析和计算难以实现。从这些问题，通过执行提取阶段，例如预处理，表识别，表分解，提取算法和评估的应用来实现解决方案来执行数据提取。通过提取所执行的信息，它会产生稍后将分析和预测投资活动的重要信息。通过将模糊逻辑作为制作预测的基本方法应用模糊逻辑来完成预测。用于使从信息提取获得的预测的输入包括CR（电流比率），TAT（总资产周转率），DER（债务与股权比率），GPM（毛利率盈利率），ROA（资产返回）和ROE（股权返回）与PG的产值（利润增长）是投资或不投资的参考。在明年使用计算的利润增长将为潜在投资者提供建议，是否投资公司。为了测试该研究中系统的可行性，模糊系统使用MAPE（平均绝对百分比误差）方法，从而导致平均MAPE值为0.2528。对于使用F1Score评估的信息提取值为0.94。

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