DSS Basic Concept - 2 Pertemuan - 04

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Transcript presentasi:

DSS Basic Concept - 2 Pertemuan - 04 Matakuliah : Decision Support System Tahun : 2009 DSS Basic Concept - 2 Pertemuan - 04 Bina Nusantara University

Learning Objectives Memahami komponen-komponen DSS dan strukturnya. Mengerti bagaimana interaksi DSS dan Web, peran user dalam DSS serta perangkat keras DSS Bina Nusantara University

Diskusi Pembuka Definisi DSS Cakupan aplikasi Karakteristik dan kemampuan DSS Manfaat dan keterbatasan Bina Nusantara University

Komponen dari DSS Subsystems: Data management Model management Managed by DBMS Model management Managed by MBMS User interface Knowledge Management and organizational knowledge base Bina Nusantara University

Bina Nusantara University

Data Management Subsystem Komponen : Database Database management system Data directory Query facility Bina Nusantara University

Bina Nusantara University

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 Bina Nusantara University

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 Bina Nusantara University

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 Bina Nusantara University

Model Management Subsystem Komponen : Model base Model base management system Modeling language Model directory Model execution, integration, and command processor Bina Nusantara University

Models Strategic Tactical Operational Analytical Supports top management decisions Tactical Used primarily by middle management to allocate resources Operational Supports daily activities Analytical Used to perform analysis of data Bina Nusantara University

Model Base Management System Functions: Model creation Model updates Model data manipulation Generation of new routines Model directory: Catalog of models Definitions Bina Nusantara University

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 Bina Nusantara University

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 Eksekusi model Integrasi, Dan prosesor perintah Subsistem Berbasis Pengetahuan Manajemen Data Manajemen antarmuka Bina Nusantara University

User interface atau antarmuka Bina Nusantara University

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 Users Printers, Plotters Bina Nusantara University

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 Bina Nusantara University

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 Bina Nusantara University

DSS Classifications Alter Holsapple dan Whinston Intelligent 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 Bina Nusantara University

(ad hoc analysis) Bina Nusantara University

DSS Classifications Donovan and Madnick Ad hoc Hackathorn and Keen 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 Bina Nusantara University

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 Bina Nusantara University

Web dan DSS Data collection Communications Collaborations Download capabilities Run on Web servers Simplifies integration problems Increased usability features Bina Nusantara University

Bina Nusantara University

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 Bina Nusantara University

Tugas Pembelajaran Dari Materi Tambahan : ModelDriven_DSS.pdf Sebutkan tipe-tipe DSS dan teknologinya ? Apa keuntungan dengan DSS yang berbasis WEB ? Bina Nusantara University