The data currently around us is heterogeneous, both in terms of structure (structured and unstructured), location (distributed or centralized), from various sources / resources (example: data from websites, text messages / SMS, etc.) , and volume (example: massive data or big data).
Along with the development of data sources and volumes, a variety of technologies have been developed to process the data. Each of these technologies is an implementation of a different paradigm regarding data, and is manifested in innovation in data processing and processing techniques.
The process and method of processing data becomes more valuable information
RDIB aims to become a center for research related to the use of data that supports the analysis of businesses and organizations to be transformed into meaningful information and knowledge so that it is useful in decision making. The scientific fields covered include:
• Computerized Decision Support: Decision Support System, System Modeling and Analysis.
• Data Management: Database and Database Management System (DBMS); Extraction, Transformation, and Load (ETL) System; Data Warehouse (DW), real-time DW, and Data Mart.
• Business Analytic: Optimizations; Data / Web / Text Mining; Web Analytic; Forecasting
• Knowledge Management: Knowledge Management System, Expert Locating System, Ontology.
• Intelligent Systems: Expert System, Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Intelligent Agent, Automated Decision System.
The research design contains strategic issues that are the focus of the MSI lab research which are a manifestation of the research roadmap. The strategic issues of the MSI lab research in 2016 – 2025 are divided into:
IT as a Strategy tool
E-Government Application (egov)
Management & Change of IT Projects
Information System Development
IT Process Maturity
IT Service Development
IT Process Quality Assurance
IT Risk Management
IT Productivity Paradox, IT Business Value
the strategic issue which is the basis and focus of the laboratory research on System Infrastructure and Information Technology, Department of Information Systems, Faculty of Information Technology (FTIF) in 2015-2020 is related to research with the following topics:
Information Technology Infrastructure (Focusing on the Middle Layer Down from the OSI Layer)
Transportation and Logistics
Efficiency through Monitoring Electricity Consumption
Increasing Utilization of Marine Potential through Technology Development in the Field of Maritime Affairs
Software Architecture Design: Resilent Information Systems
The scientific fields covered include:
Enterprise Systems: Customer Relations Management, Supply Chain Management, Corporate Resource Planning
Business Process Management: Process Mining, Workflow
Business Process Analysis and Modeling: System Analysis and Modeling, Business Intelligence, Analytical Business, Geographic Information Systems
Data and Knowledge Management: Data Warehousing, OLAP, Database
Ruang TU Gedung Departemen Sistem Informasi Lt.2
Kampus Institut Teknologi
Sepuluh Nopember Surabaya