Utilization of information systems or technology in an organization is needed to improve organizational efficiency. This relates to the rapid development of information systems or technology that affect the ongoing business processes. The effectiveness is in the form of aligning business strategy with information system strategy and business transformation. However, the dilemma faced especially in Government agencies such as the Balikpapan City Department of Transportation is how to align business strategies and information systems strategies that will be used so as to achieve organizational goals. Responding to the problem, it is necessary to align between the business needs of the organization and the needs of the application to support the vision and mission to be achieved by the Balikpapan City Department of Transportation. This can be achieved by using the framework of The Open Group Architecture Framework (TOGAF) which provides a detailed method of how to build, manage and implement an enterprise architecture known as the Architecture Development Method (ADM), hereafter referred to as TOGAF ADM. This research produces a mapping of business needs and application needs to support the vision and mission to be achieved through the information systems or technology architecture design including business architecture modeling, information system architecture, and technology architecture on the Balikpapan City Department of Transportation.
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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