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KARAKTERISTIK DAN KEMAMPUAN DECISION SUPPORT SYSTEM
Pertemuan-2
Mata Kuliah : CSM 211 , Management Support SystemTahun Akademik : 2012/2013
Target Pembelajaran :
The student can shows the process DSS, DSS Characterics, and DSS Component
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Sasaran Pembelajaran :
• Understand possible DSS Configurations• Describe DSS Characteristics and capabilites• Understand DSS components and how they integrate• Describe the components and structure of each DSS
component : the data management sub-system, the model management subsystem, the user interface (dialog) subsystem, the knowledge based managemetn subsystem, and the user
• Explain how the world wide web has affected DSS, and vice versa
• Explain the unique role of the user id DSS versus MIS• Describe the DSS hardware platforms• Understand the important DSS classifications
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CASE STUDY: Southwest Airlines Flies in the Face of Competition
Through DSS
The shows advantage DSS (Business Intelligence ) in the organizations : – Support goals objective (individual / team work)– Repetition by consistency– The primary component ( data, model and user
interface)– The use subjectivity, User and data– Help decision support effectly, accurate and the
best solution
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QUESTION :a. What kinds of models do you suppose
southwest airlines used in its OLAP
b. How can business intelligence like that utilized by southwest airlines lead to higher profit and more competitive position in the marketplace
c. Explain how the benefits were obtained
d. Explain how these ideas could be used in other industry segments
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DSS DEFINITIONS :• DSS as a model based set of procedures for
processing data and judgments to assist a manager in his decision making
• DSS is usually built to support the solution of a certain problem or to evaluation an opportunity
• Focus DSS is not “What result” but “as the Input” for interactive between user and the system
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DSS APPLICATION :
• DSS is an approach (methodology) for supporting decision making. It uses an interactive, flexible, adaptable Computer Based Information System (CBIS) especially developed for supporting the solution to a specific nonstructured management problem
• DSS usually uses models and is built (often by end users) by an interactive and iterative process. It supports all phases of decision making and may include a knowledge component
• DSS can be used by a single use on a PC or can be web based for use by many people at serveral locations
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DSS Characteristics and Capabilites1. Support for decision makers
2. Support for all managerial levels, ranging from top executives to line managers
3. Support for individuals as well as to groups
4. Support for interdependent and sequential decisions
5. Support in all phase of the decision making process : intelligence, design, choice, and implementation
6. Support in a variety of decision making processes and styles
7. Adaptivity over time
8. User feeling of at homeness
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DSS Characteristics and Capabilites9 Improvement of the effectiveness of decision making (accuracy,
timeliness, quality) rather than its efficiency (the cost of making decisions)
10 Complete control by the decision maker over all steps of the decision making process in solving a problem
11 End users are able to develop and modify simple systems by themselves
12 Models are generally utilized to analyze decision making situations
13 Access is provided to a variety of data sources, format and types, ranging from Geographic IS to Object oriented ones
14 Can be employed as a standalone tool used by an individual decision maker in one location or distributed.
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KEY CHARACTERICS AND CAPABILITES OF DSS
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Components of DSS
1) Data Management Subyistem (DMS)
2) Model Management Subsystem (MMS)
3) User Interface Subsystem (UIS)
4) Knowledge Based Management Subsystem (KBMS)
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Data Management Subsystem (DMS)
• Includes Database that contains relevant data for the situations
• Interconnected with the corperate Data Warehouse
Classification :• Database• DBMS• Data Directory• Query Facility
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DATABASE Component data organizationed and can use to other
user of all application programs Database from data warehouse or create by special Data in Database extraction from data internal dan
external Data internal from Transaction processing system
(TPS) Data external from the Industries
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Database Management System (DBMS ) • Create, access, update data• Extraction data from database• update• Relation data from different resource• The shows information by use SQL• Data security• The process data by complex variation• Search data by DSS• The process data by data dictionary• Data Directory• Query Facility
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• Data Directory
Catalog from other data in database that consist definition, function, concept of data with extraction
• Query Facility
Access, process data by Query
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Model Management Subsystem (MMS)• Software package that include financial, statistical,
management science, or other quantitative models• Modelling langeuages for building custom models that
usually called Model Based Management System(MBMS)
• Component can be connected to corporate or external storage of models
The classification :• Model Base• MBMS• Model Directory• Model execution
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User Interface Subsystem (UIS)
• The user can communicates with and command the DSS through this subsystem
• The user is considered part of the system• Researchers assert that some of the unique
contributions of DSS are derived form the intensive interaction betwen the computer and the decision maker
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User Interface System
Knowledge-based systemData management and DBMS Model management and MBMS
User Interface Management System (UIMS)
Natural Language Processor
InputAction
Languages
OutputDisplay
Language
Users Printers, Plotters
PC Display
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Knowledge Based Management Subsistem (KBMS)
• Subsystem can support any of the other subsystem or acr as an independent component
• Can be interconnected with the organizations knowledge repository (parth of knowledge management system) which called organizational knowledge base
• DSS must include major componenst of DBMS, MBMS, User interface. The KBMS is optional, but can provide many benefits by providing intelligence
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Model Schematic of DSS
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The Structure of The Data Management Subsytem
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Model Manajemen Subsistem (MMS)
MODEL BASE Routine data and special (statistics, financial, forecast,
science management) DSS can choice, process, change other models The classification :
Strategic Mmodel : support senior manager to strategic planning
Tactical Model : alocated and control resources Operational Model : activity daily Analytical Model : analysis data
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Model Manajemen Subsistem (MMS)
MBMS : Function : create model with use program languange
DSS Tools and Building Block, update, management data models
Model Directory : Catalog model
Model execution : Control Process of implement models Control integrate to combinate model
operation Command, receipt and interpretation of
instructions based on input from U component2-22
Knowledge-Based Management System ( KBMS )
• Component personal knowledge• Problem solving complex• Increasing quality other component (DMS,UI,MMS)• Other modul systems• Tasks oriented• Development, Use and process models• One and more intelligence component• DSS by KBMS called Inteligent DSS
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Hardware DSS
• Defacto standard • Web server with DBMS:
– Operates using browser– Data stored in variety of databases– Can be mainframe, server, workstation, or PC – Any network type– Access for mobile devices
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Clasification DSSBased on impact from output DSS, The categories DSS : 1. File Drawer System2. Data Analysis System3. Analysis Information System4. Accounting Model5. Representational Model6. Optimization Model7. Suggestion Model
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Clasification DSS
The Categories DSS (Holsapple & Whinston) :
1. Text Oriented
2. Database oriented
3. Spreadsheet Oriented
4. Solver Oriented
5. Rule Oriented
6. Compound DSS (Inteligent DSS)
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Clasification DSS
1. Institutional and Ad Hoc
2. Personal/group/Organizational Support
3. Individual versus Group Support (GSS)
4. Custom Made versi Ready Made
========== thanks 4 ypur attention ==========
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