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Visual Paradigm Academic Partner Program

Institut Teknologi Sepuluh Nopember is an Academic Partner of Visual Paradigm, and is granted the use of Visual Paradigm's online UML tool and BPMN editor for educational use.
As an Academic Partner of Visual Paradigm, Institut Teknologi Sepuluh Nopember is issued online software tools for educational use, which cover UML, BPMN, ArchiMate, Agile story mapping, etc.

others availlable collaboration

Data on Information Acquisition and Dissemination

Data acquisition

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).

Processing Paradigm

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.

Information Dissemination

The process and method of processing data becomes more valuable information

Data Engineering and Business Intelligence

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.

Information System Management

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

Technology Infrastructure

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)
Energy
Military defense

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

Enterprise System

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