Penerapan Business Intelligence pada Data Cuaca Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)

Specta Pub Date : 2021-05-01 DOI:10.35718/SPECTA.V5I2.260
Melinda Andriyati, Soleh Ardiansyah, M. L. Putra
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引用次数: 2

Abstract

As systems and methods that analyze data, Business Intelligence aims to gain insight. BMKG Kota Balikpapan has an obstacle in data management which takes almost two days. Data management consists of data processing, data analysis, data storage, and data accessing. BMKG Kota Balikpapan's problem can be answered by using Pentaho which is a proper tool for presenting the information from data management processes to gain knowledge. Business Intelligence implementation was performed by adopting a business intelligence roadmap: the business analysis phase, design phase, construction phase, and deployment phase. In conclusion, weather data processing into normal data by Pentaho has been done successfully. Normal data consists of normal data of rainfall, temperature, and humidity, which will be displayed on the dashboard created using Pentaho. The dashboard was displayed on the website localhost that has been built by using the MySQL database as a data storage and Pentaho in conducting the analysis and creation of the dashboard. Forecast for average temperature data in January 2019 also has been done by using Weka. The results of the comparison of original data and forecasting data showed a difference of 0.0573. The comparison of the data shows that Weka can be used as an alternative tool for BMKG of Balikpapan to weather forecasts.
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作为分析数据的系统和方法,商业智能旨在获得洞察力。BMKG Kota Balikpapan在数据管理方面遇到了一个障碍,需要将近两天的时间。数据管理包括数据处理、数据分析、数据存储和数据访问。BMKG Kota Balikpapan的问题可以通过使用Pentaho来回答,Pentaho是一种适当的工具,用于展示数据管理过程中的信息以获得知识。业务智能的实现是通过采用业务智能路线图来执行的:业务分析阶段、设计阶段、构建阶段和部署阶段。总之,Pentaho已经成功地将天气数据处理为正常数据。正常数据包括降雨量、温度和湿度的正常数据,这些数据将显示在使用Pentaho创建的仪表板上。该仪表板显示在localhost网站上,该网站是通过使用MySQL数据库作为数据存储和Pentaho进行仪表板的分析和创建而构建的。2019年1月的平均气温数据也通过Weka进行了预测。原始数据与预测数据的比较结果显示差异为0.0573。数据比较表明,Weka可以作为Balikpapan BMKG的天气预报替代工具。
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