Mata Kuliah
Tahun Akademik
: CSM 211 , Management Support System
: 2014/2015
KARAKTERISTIK DAN KEMAMPUAN
DECISION SUPPORT SYSTEM
Pertemuan-2
Target Pembelajaran :
The student can shows the process DSS, DSS
Characterics, and DSS Component
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Sasaran Pembelajaran :
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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 Capabilites
1. 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 Capabilites
9 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
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14 Can be employed as a standalone tool used by an
individual decision maker in one location or distributed.
KEY CHARACTERICS AND CAPABILITES OF DSS
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Components of DSS
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Data Management Subyistem (DMS)
Model Management Subsystem (MMS)
User Interface Subsystem (UIS)
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
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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 )
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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
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Query Facility
Access, process data by Query
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Model Management Subsystem (MMS)
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Software package that include financial, statistical,
management science, or other quantitative models
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Modelling langeuages for building custom models that
usually called Model Based Management
System(MBMS)
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Component can be connected to corporate or external
storage of models
The classification :
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Model Base
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MBMS
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Model Directory
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Model execution
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User Interface Subsystem (UIS)
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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
Data management and DBMS
Knowledge-based system
Model management and
MBMS
User Interface Management System (UIMS)
Natural Language Processor
Input
Action
Languages
Output
Display
Language
Users
PC Display
Printers, Plotters
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Knowledge Based Management Subsistem
(KBMS)
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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
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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 :
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Function : create model with use program languange
DSS Tools and Building Block, update, management
data models
Model Directory :
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Catalog model
Model execution :
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Control Process of implement models
Control integrate to combinate model
operation
Command, receipt and interpretation of
instructions based on input from U component
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Knowledge-Based Management System
( KBMS )
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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 DSS
Based on impact from output DSS,
The categories DSS :
1. File Drawer System
2. Data Analysis System
3. Analysis Information System
4. Accounting Model
5. Representational Model
6. Optimization Model
7. 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
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Institutional and Ad Hoc
Personal/group/Organizational Support
Individual versus Group Support (GSS)
Custom Made versi Ready Made
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thanks 4 ypur attention
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