Document 15022043

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Matakuliah

Tahun : 2009

: Decision Support System

DSS Basic Concept - 2

Pertemuan - 04

Bina Nusantara University 2

Learning Objectives

• Memahami komponen-komponen DSS dan strukturnya.

• Mengerti bagaimana interaksi DSS dan Web, peran user dalam DSS serta perangkat keras

DSS

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Diskusi Pembuka

• Definisi DSS

• Cakupan aplikasi

• Karakteristik dan kemampuan DSS

• Manfaat dan keterbatasan

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Komponen dari DSS

• Subsystems:

– Data management

• Managed by DBMS

– Model management

• Managed by MBMS

– User interface

– Knowledge Management and organizational knowledge base

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Data Management Subsystem

• Komponen :

– Database

– Database management system

– Data directory

– Query facility

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Database

• Interrelated data extracted from various sources, stored for use by the organization, and queried

– Internal data, usually from TPS

– External data from government agencies, trade associations, market research firms, forecasting firms

– Private data or guidelines used by decision-makers

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Database Management System

• Extracts data

• Memanage data dan relationshipnya

• Updates (add, delete, edit, change)

• Retrieves data (accesses it)

• Queries dan manipulasi data

• Menerapkan data dictionary

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Data Directory

• Catalog of all data

– Contains data definitions

– Answers questions about the availability of data items

– Source

– Meaning

– Allows for additions, removals, and alterations

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Model Management Subsystem

• Komponen :

– Model base

– Model base management system

– Modeling language

– Model directory

– Model execution, integration, and command processor

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Models

• Strategic

– Supports top management decisions

• Tactical

– Used primarily by middle management to allocate resources

• Operational

– Supports daily activities

• Analytical

– Used to perform analysis of data

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Model Base Management System

• Functions:

– Model creation

– Model updates

– Model data manipulation

– Generation of new routines

• Model directory:

– Catalog of models

– Definitions

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Activitas Model Management

• Model execution

– Mengendalikan running dari model

• Model command processor

– Receives model instructions dari user interface

– Routes instructions ke MBMS atau module execution atau integrasi fungsi2

• Model integration

– Mengkombinasikan beberapa operasi model-model

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Struktur subsistem model management

Model (basis Model)

•Strategis, taktis, operasional

•Statistik, keuangan, pemasaran,

•ilmu manajemen, akuntasi,teknik

•Blok pembangunan model

Model directory

Model Base management

•Perintah Pemodelan : creation

•Pemeliharaan : Update

•Antarmuka database

•Bahasa Pemodelan

Manajemen

Data

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Manajemen antarmuka

Subsistem

Berbasis Pengetahuan

Eksekusi model

Integrasi,

Dan prosesor perintah

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User interface atau antarmuka

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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

PC Display

Based on Figure 3.6, Schematic

View of the User Interface

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Users Printers, Plotters

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User Interface Management System

• GUI

• Natural language processor

• Interaksi dengan model management dan data management subsystems

• Contoh

Speech recognition

– Display panel

Tactile interfaces

– Gesture interface

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Knowledge-Based Management System

• Komponen Expert atau intelligent agent system

• Complex problem solving

• Menangani operations dari komponen lain

• Dapat terdiri dari beberapa systems

• Kadang text-oriented DSS

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DSS Classifications

• Alter

Extent to which outputs can directly support or determine the decision :

– Data oriented

• Data retrieval : File drawer System dan Data Analysis System

• Data analysis : Analysis Information System

– Model oriented

• Simulation : Accounting Models dan Representational Models

• Suggestion : Optimization Models dan Suggestion Model

• Holsapple dan Whinston

– Text oriented, database oriented, spreadsheet oriented, solver oriented, rule oriented, or compound

• Intelligent

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( ad hoc analysis)

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DSS Classifications

• Donovan and Madnick

– Institutional

– Problems of recurring nature

• Ad hoc

– Problems that are not anticipated or are not repetitive

• Hackathorn and Keen

– Personal support, group support, or organizational support

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DSS Classifications

• GSS v. Individual DSS

– Decisions made by entire group or by lone decision maker

• Custom made v. vendor ready made

– Generic DSS may be modified for use

• Database, models, interface, support are built in

• Addresses repeatable industry problems

• Reduces costs

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Web dan DSS

• Data collection

• Communications

• Collaborations

• Download capabilities

• Run on Web servers

• Simplifies integration problems

• Increased usability features

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DSS Hardware

• De facto standard : Komputer dan jaringan

• 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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Tugas Pembelajaran

• Dari Materi Tambahan : ModelDriven_DSS.pdf

– Sebutkan tipe-tipe DSS dan teknologinya ?

– Apa keuntungan dengan DSS yang berbasis WEB ?

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