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Journal of Intelligent Decision Support System (IDSS)
Published by Institute of Computer Science
ISSN : 27215792     EISSN : 27215792     DOI : -
Core Subject : Science,
Computer Science & IT
An intelligent decision support system (IDSS) is a decision support system that makes extensive use of artificial intelligence (AI) techniques. Use of AI techniques in management information systems has a long history – indeed terms such as "Knowledge-based systems" (KBS) and "intelligent systems" have been used since the early 1980s to describe components of management systems, but the term "Intelligent decision support system" is thought to originate with Clyde Holsapple and Andrew Whinston in the late 1970s. Examples of specialized intelligent decision support systems include Flexible manufacturing systems (FMS),intelligent marketing decision support systems and medical diagnosis systems. Ideally, an intelligent decision support system should behave like a human consultant: supporting decision makers by gathering and analysing evidence, identifying and diagnosing problems, proposing possible courses of action and evaluating such proposed actions. The aim of the AI techniques embedded in an intelligent decision support system is to enable these tasks to be performed by a computer, while emulating human capabilities as closely as possible.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 3 Documents
 1 
Search results for , issue "Vol 5 No 3 (2022): September: Intelligent Decision Support System (IDSS)" : 3 Documents clear
Shooting Simulation Based On Computer Vision Using Programming Language Phyton and Borland Delphi 7 Sugeng Wahyudiono; Tri Yusnanto; Kanafi
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v5i3.96

Abstract

The purpose of this research is to be able to Design and Build a Scenario Video Shooting Simulation Based on Computer Vision Programming at the Military Academy using Python and Borland Delphi 7 Programming Languages to be used as a means of shooting practice by cadets. The research methodology employed uses the Waterfall method with research stages: Communication, Planning, Modeling, Construction, and Deployment. And the data collection method in making this Shooting Simulation uses Interviews, Observation, and Documentation. The design used in this study is UML (Unified Modeling Language) modeling. A system designer must follow the existing rules when he uses UML modeling. System testing in this study uses Black Box Testing. The result of this research is to produce an application that is easy to use in shooting training at the Magelang Military Academy.
Application of rapidminer for clustering aids cases by province using data mining k-means clustering Widya Surya Ningsih; Eko Haryanto
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v5i3.101

Abstract

Acquired Immunodeficiency Syndrome or Acquired Immune Deficiency Syndrome (AIDS shortened) is a combination of symptoms and diseases caused by the HIV virus's damage to the human immune system. This study examines the WEKA Application for K-means Clustering Data Mining in Grouping AIDS Cases by Province. The increasing number of AIDS patients in Indonesia is a matter that never escapes the government's notice. People are concerned about the spread of the AIDS virus due to the persistently rising death rate. Documents supplied by the Social Security Administering Body describing the number of villages/subdistricts with health facilities were mined for data and study. This research utilizes data from the years 2008-2011 for a total of 34 provinces. There are two assessment criteria: 1) the average number of AIDS cases and 2) the average number of AIDS-related deaths controlled by three clusters: high cluster level (C1), medium cluster level (C2), and low cluster level (C3) (C3). So that the C1 cluster evaluation for AIDS cases is based on four provinces, Papua, DKI Jakarta, West Java, and East Java, nine provinces for the C2 cluster, and twenty provinces for the C3 cluster. This information can be sent to provinces who are concerned about the number of AIDS cases.
Implementing bandwidth management on computer networks using MIKROTIK router Kurnia Wira Syahputra; Muhammad Iqbal
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v5i3.102

Abstract

Today's expansion of information technology is paralleled by the development of computer networks; with tools and software for bandwidth control, the computer network can function properly. Campuses, agencies, and businesses in general require bandwidth management with a Mikrotik router to help overcome the density of traffic that can interfere with computer network connections, where when the network is down or the computer network has problems due to the absence of an even distribution of bandwidth for each user, by Therefore, it is necessary to manage the distribution of the amount of bandwidth, with the goal of achieving the optimal bandwidth capacity for each user. Later, the bandwidth capacity will be allocated to each user according to their internet usage priority in order to optimize the available bandwidth capacity. Bandwidth management, often known as QOS (Quality of Services), is an alternative term for bandwidth management. This application is executed in multiple stages, including network design, implementation, and testing, which is characterized by the availability of a more reliable network.

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