Module/Course Title: Decision Support System

Module course code

KOMS120708

Student Workload
119 hours

Credits

3 / 4.5 ETCS

Semester

7

Frequency

Odd Semester

Duration

16

1

Type of course

Field of Study Courses

Contact hours


40 hours of face-to-face (theoretical) class activity

Independent Study


48 hours of independent activity
48 hours of structured activities

Class Size

30

2

Prerequisites for participation (if applicable)

-

3

Learning Outcomes

  1. Students can demonstrate systematic thinking in analyzing and designing intelligent system solutions
  2. Students can apply effective methods in developing intelligent systems
  3. Students can create and evaluate intelligent systems
  4. Students can describe DSS concepts and architecture
  5. students can explore and analyze decision models
  6. Students can make a DSS project to solve real-world problem

4

Subject aims/Content

This course introduces decision-making by providing relevant information and analysis. It covers the components, types, benefits, and limitations of DSS, along with real-world examples and considerations for implementation, including ethical and legal aspects. The lesson also touches on future trends and developments in the field of decision support systems. Interactive activities and case studies may be included to enhance learning, and additional resources will be provided for further exploration. Other topic such as role and benefits of DSS in organizations, Components and architecture of DSS, types of decisions (structured, semi-structured, and unstructured), decision-making models and frameworks, data Sources and Acquisition.

Study Material
  1. Preliminaries
  1. DSS Introduction
  2. Decision-making theories and concepts
  3. DSS theory and concepts
  4. DSS application idea proposal

Data Warehousing and OLAP

  1. Definition of data warehousing
  2. Comparison of data warehousing with relational database
  1. Multidimensional data models
  2. Data warehousing architecture
  3. Examples of implementation of data warehousing and OLAP

Decision Analysis

  1. Decision Analysis Introduction
  1. Decision Analysis Models:
  2. Decision making under uncertainty
  3. Decision making under risk
  4. Decision making with perfect information
  5. Decision making with imperfect information
  6. Decision Tree

Decision-making type

All topics from 1st meeting to 7th meeting

  1. Forecasting type
  2. Time series
  1. Stationary Forecasting Model
  2. Linear trend Time Series 
  3. Performance Forecasting Method

Simulation

  1. Simulation
  2. Definition of Simulation
  3. Simulation Advantages and Disadvantages
  4. Monte Carlo Simulation
  5. Queue Simulation

Analytical Hierarchy Process (AHP)

1. Introduction

  1. AHP Stages
  2. AHP's Basic Principles and Axioms

Intelligent Decision support systems

  • Expert system
  • Forward and backward chaining
  1. Determining the assessment criteria
  2. Evaluating activity stages
  3. Evaluating Products

All topics

5

Teaching methods

Synchronous: face to face/online meeting

Asynchronous: Sending Module via elearning

6

Assesment Methods

Attendance and participation

7

This module/course is used in the following study programme/s as well

Computer Science Study Programme

8

Responsibility for module/course

  • Agus Aan Jiwa Permana, S.Kom., M.Cs.
  • NIDN : 0004088702

9

Other Information

  1.  Efraim Turban and Jay E. Aronson, 2003,Decision Support Systems and Intelligent Systems, Prentice Hall, 7th edition
  2.  Liyantanto,2010,”Sistem Pendukung Keputusan”, http://liyantanto.wordpress.com/materi-perkuliahan/, 8 Februari 2010
  3. Gray, P., 1994, "Decision Support and Executive Information Systems", Prentice Hall.
  4. "A Review of Decision Support Systems for Sustainable Supply Chain Management" oleh Y. Zhang, C. Zhou, dan X. Zhao (2018) - Artikel ini membahas penggunaan DSS dalam manajemen rantai pasok yang berkelanjutan dan mengevaluasi berbagai sistem pendukung keputusan yang digunakan dalam konteks ini.
  5. "A Decision Support System for Financial Risk Assessment using Fuzzy Logic" oleh P. Pal, A. Dutta, dan P. Pal (2020) - Artikel ini menjelaskan pengembangan sistem pendukung keputusan yang menggunakan logika fuzzy untuk melakukan penilaian risiko keuangan.
  6. "Decision Support Systems in Healthcare: An Integrated Perspective" oleh N. Rani, R. K. Gangwar, dan M. S. Hooda (2020) - Artikel ini membahas penerapan sistem pendukung keputusan dalam konteks perawatan kesehatan, menggambarkan peran DSS dalam diagnosis, pengobatan, dan manajemen keputusan kesehatan.
  7. "A Review of Data Mining Techniques for Decision Support Systems" oleh A. Aburrous, S. A. M. Rizvi, dan M. R. Khedr (2017) - Artikel ini menyajikan tinjauan tentang berbagai teknik data mining yang digunakan dalam pengembangan sistem pendukung keputusan.
  8. "Decision Support Systems in Agriculture: A Review" oleh H. N. Suresh, R. N. Sreenivasa, dan M. Rajesh (2018) - Artikel ini mengulas penggunaan DSS dalam sektor pertanian, termasuk pengelolaan tanaman, pemantauan keberlanjutan pertanian, dan perencanaan sumber daya pertanian.