SISTEM PENUNJANG KEPUTUSAN

26/03/2013

SISTEM PENUNJANG KEPUTUSAN IF041 - 3

© 2009 Fakultas Teknologi Informasi Universitas Budi Luhur Jl. Ciledug Raya Petukangan Utara Jakarta Selatan 12260 Website: http://fti.bl.ac.id Email: [email protected]

Turban, Aronson, and Liang Decision Support Systems and Intelligent Systems, Seventh Edition

PERTEMUAN-15

CHAPTER 15 INTEGRASI, DAMPAK, DAN MANAGEMENTSUPPORT SYSTEMS DI MASA DEPAN

1

26/03/2013

Tujuan Pembelajaran Mempelajari proses integrasi sistem untuk MSS. Memahami kesulitan dalam mengintegrasikan sistem. Menjelaskan model utama dalam integrasi. Mendefinisikan intelligent DSS. Memahami konsep intelligent modelling. Mengetahui integrasi MSS dengan sistem enterprise dan Web. Menjelaskan dampak dari MSS pada organisasi. Mempelajari dampak potensial dari MSS pada individu. Menjelaskan dampak sosial dari MSS. Be cognizant of the ethical and legal issues of MSS. Memahami the digital divide. Menjelaskan komunitas Internet. Melihat MSS di masa mendatang.

FAKULTAS TEKNOLOGI INFORMASI

SISTEM PENUNJANG KEPUTUSAN-IF041-3

15-3

Integrasi Sistem Integrasi Fungsional Aplikasi yang berbeda sebagai sebuah sistem tunggal Lintas MSS yang berbeda atau dalam MSS Menangani masalah yang berulang

Integrasi teknik MSS untuk membangun MSS tertentu

Integrasi Fisik Hardware, software, dan Integrasi komunikasi

Integrasi Aplikasi Data, aplikasi, metode, dan proses

Mengembangkan tingkat Integrasi Integrasi untuk meningkatkan kapabilitas Integrasi untuk meningkatkan intelligent tools FAKULTAS TEKNOLOGI INFORMASI


15-4

2

26/03/2013

Models Integrasi expert systems dan DSS Expert systems disatukan dengan DSS ES 1: Database intelligent component ES 2: Intelligent agent for model base and management ES 3: System for improving user interface ES 4: Consultant to DSS ES 5: Consultant to users Usually, only one or two are attached

Expert system sebagai komponen terpisah Output dari Expert systems sebagai input bagi DSS Output DSS sebagai input bagi expert system Feedback

Expert systems generation of alternatives to DSS Unified approach FAKULTAS TEKNOLOGI INFORMASI


15-5



15-6

3

26/03/2013

Models Tight integration due to shared interfaces and resources Shared decision-making Expandable to other intelligent systems

Can integrate EIS, DSS and expert systems Information from EIS is inputted into DSS DSS feedback to EIS Expert system used for interpretation, explanation



15-7

Intelligent DSS Active DSS Intelligent component Symbiotic Understands domain and provides explanations Helps formulate problems Relates problems to solver Interprets results Explains results and decisions



15-8

4

26/03/2013

Intelligent DSS Self-evolving DSS Aware of how it is being used and adapts to needs of use Dynamic menus User interface Intelligent model-based management system

Problem management Automate processes by dividing into smaller steps Specific architecture to support functional requirements



15-9

Intelligent Modeling Intelligence added to allow input of expertise Multiple models available Construction Simplify real world situation Less complex version of reality

Use of models Some judgmental values Expert systems supply sensitivity analysis Expert systems provide result explanations, patterns, anomalies

Most based on quantitative models



15-10

5

26/03/2013

Integration Meningkatkan fungsionalitas Menjadikan enterprise systems lebih user friendly Fleksibilitas yang lebih baik Menghemat uang dengan mengintegrasikan berbagai sistem Memungkinkan integrasi dari beberapa sistem fungsional dengan mudah FAKULTAS TEKNOLOGI INFORMASI


15-11

Integration ERP Integrates analytical capabilities

Supply chain systems Enhance capabilities Optimize tools

Knowledge management systems Communication, collaboration, storage DSS integration Intelligent systems integration Data mining tools with manufacturing systems DSS and learning systems Data mining with business modeling



15-12

6

26/03/2013

Issues Cost-benefit justifications Feasibility Architecture choices Infrastructure Development process and tools Connectivity Web-based integration

Data issues Legal issues and privacy New technology introduction, integration FAKULTAS TEKNOLOGI INFORMASI


15-13

Impacts of MSS Organizational Budaya Terciptanya departemen baru Virtual teams Business process reengineering Business simulation tools

Produksi meningkat Kepuasan pelanggan meningkat Kualitas meningkat Mengembangkan Supply chain management Meningkatkan kinerja manajer dan karyawan



15-14

7

26/03/2013

Impacts of MSS Individual Kepuasan kerja meningkat Negative effect on individuality Dehumanization

Job stress Lack of cooperation by expert



15-15

Impacts of MSS Societal Positive effects Reduction or elimination of humans in hazardous positions Increased opportunities for disabled, home bound, and single parents Telecommuting Improved health care Improved quality of life

Negative effects Computer fraud and embezzlement Identity theft Neglect of family Increased power due to increased centralization of organizations



15-16

8

26/03/2013

Legal and Privacy Issues Antitrust Unfair competition Unreasonable personal intrusion Collection of information about individuals

Ethics Personal values

Intellectual property rights Copyright Trademarks Domain names Patents

Computer abuse Electronic surveillance Use of proprietary databases Data integrity FAKULTAS TEKNOLOGI INFORMASI


15-17



15-18

9

26/03/2013

Impacts of Artificial Intelligence Increased employment through newly created MSS-related jobs Massive unemployment through automation of processes Social implications Increased leisure time Government intervention with employment levels Increased wealth



15-19

Internet Communities Groups of people with common interests Interact through Internet Types Communities of transactions Facilitate buying and selling

Communities of interest Based on specific topic

Communities of relations Organized around life experiences

Communities of fantasy Based on imaginary environments Game playing



15-20

10

26/03/2013

Digital Divide Growing gap between those who have and those who do not have access to technology Exists within and between countries



15-21

Future of MSS MSS is becoming a Web-based technology Combining and integration with business intelligence BI is being combined with a number of Web-based applications Intelligent systems are being employed in the war against terrorism Web-based advisory services are being developed More complex MSS applications are being developed Trend toward increasing intelligence of systems Pervasive computing MSS are being disseminated via ASPs Natural language based search engines Semantic web



15-22

11

26/03/2013

Future of MSS Voice technologies are being enriched through use of MSS CRM improvement Improvement along supply chain through integration with ERP Expertise availability on Internet Initiation of formal knowledge-management programs More intelligent agents on Internet and other networks Greater use of wireless technologies Intelligent agents will roam the Internet, intranets, and extranets to monitor information and assist in decision-making Increase in groupware technologies for collaboration and communication DSS for e-commerce Decision-support tools for e-commerce will be expanded



15-23

Tugas Kelompok Buat kelompok maksimal 5 Orang Buat Presentasi mengenai Review paper yang berkaitan dengan topik DSS atau Sistem pendukung keputusan Di presentasikan minggu depan dalam bentuk Power point Harus ditampilkan juga Paper yang di Review



15-24

12

26/03/2013

Sistematika Penulisan 1. Judul Paper 2. Penulis 3. Penerbit 4. Tahun Terbit 5. Ringkasan Paper 6. Masalah yang telah terpecahkan 7. Tujuan Penelitian 8. Metode Penelitian 9. Kesimpulan 10. Apa yang anda Pelajari FAKULTAS TEKNOLOGI INFORMASI


Contoh

15-25

Kisi – Kisi UAS Soal Pilihan Ganda 20 Soal Soal Essay Eigenvektor dari Kriteria Metode Bayes Metode MPE Metode CPI



15-26

13

26/03/2013

Contoh PT. Aman Sentosa Ingin Membeli Note Book baru dan ingin menentukan merek Note Book apa yang paling cocok dengan kriteria yang PT. Aman Tentukan. Adapun kriterianya adalah : Reliability (R), Fitur (F), Style (S) dan Daya Tahan Batre (D), dimana Menurut PT. Aman Sentosa Reliability 2 kali lebih penting daripada Fitur, sedangkan Fitur 2 kali lebih penting daripada Daya tahan batre, Sedangkan Daya tahan Batre 2 Kali lebih penting daripada Style dan Reliability 8 kali lebih penting daripada Daya tahan batre FAKULTAS TEKNOLOGI INFORMASI


15-27

14

SISTEM PENUNJANG KEPUTUSAN

Recommend Documents