Matakuliah Tahun : Decision Support System : 2009 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 Bina Nusantara University 3 Diskusi Pembuka • • • • Definisi DSS Cakupan aplikasi Karakteristik dan kemampuan DSS Manfaat dan keterbatasan Bina Nusantara University 4 Komponen dari DSS • Subsystems: – Data management • Managed by DBMS – Model management • Managed by MBMS – User interface – Knowledge Management and organizational knowledge base Bina Nusantara University 5 Bina Nusantara University 6 Data Management Subsystem • Komponen : – – – – Database Database management system Data directory Query facility Bina Nusantara University 7 Bina Nusantara University 8 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 9 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 10 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 11 Model Management Subsystem • Komponen : – – – – – Model base Model base management system Modeling language Model directory Model execution, integration, and command processor Bina Nusantara University 12 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 Bina Nusantara University 13 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 14 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 15 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 Bina Nusantara University Manajemen antarmuka Eksekusi model Integrasi, Dan prosesor perintah Subsistem Berbasis Pengetahuan 16 User interface atau antarmuka Bina Nusantara University 17 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 Based on Figure 3.6, Schematic View of the User Interface Bina Nusantara University Users Output Display Language PC Display Printers, Plotters 18 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 19 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 20 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 Bina Nusantara University 21 (ad hoc analysis) Bina Nusantara University 22 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 Bina Nusantara University 23 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 24 Web dan DSS • • • • • • • Data collection Communications Collaborations Download capabilities Run on Web servers Simplifies integration problems Increased usability features Bina Nusantara University 25 Bina Nusantara University 26 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 27 Tugas Pembelajaran • Dari Materi Tambahan : ModelDriven_DSS.pdf – Sebutkan tipe-tipe DSS dan teknologinya ? – Apa keuntungan dengan DSS yang berbasis WEB ? Bina Nusantara University 28
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