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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 5 Documents
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Search results for , issue "Vol 4 No 1 (2021): March: Intelligent Decision Support System (IDSS)" : 5 Documents clear
Decision Support System for Determining the Location of Bank Indonesia Gorontalo Offices Using the Weighted Product Method Siddiq Fahriady Seban
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: 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.v4i1.59

Abstract

The decision support system for determining the location of the Bank Indonesia Gorontalo office is an application program created to be used by the Bank Indonesia Gorontalo office in determining the best alternative land that will become the land for the Bank Indonesia Gorontalo Office, the assessment of this alternative land is modeled based on alternative data compiled with the following criteria. has been determined. The data and alternative criteria were processed using the Fuzzy Multiple Attribute Decision Making (FMADM) Weigted Product (WP) method. In using this method, it is hoped that the system application that will be used can assist the decision-making process so as to obtain the best alternative land which will later be used as land for the Bank Indonesia Gorontalo office
Decision Support System for Determining Employee Working Time with Analytical Hierarchy Process Method Essther Ika Chardina
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: 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.v4i1.60

Abstract

Operational work of a company can not be separated from the placement of employee work time. The placement of employees in accordance with their achievements and abilities at the right working time supports the smooth operation of the company's work. In this final project, a decision support system for determining the working time of employees is made by using the Analytical Hierarchy Process (AHP) method. The Analytical Hierarchy Process method is an approach method used to help solve problems that require values ​​based on existing considerations into an easier and structured process. This method is expected to help operational managers in determining the working time of employees.
Application of AHP (Analytical Hierarchy Process) Method in Inventory Control at PT. Sumber Rezeki Bersama Eko Sumarsono
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: 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.v4i1.63

Abstract

Controlling the amount of inventory value is not an easy thing for companies, starting from recording the purchase price of goods, determining prices to presenting these inventories into financial statements. To facilitate inventory control, a decision support system is needed that aims to simplify the inventory control process which is expected to help the problems that exist in the company. The same thing is needed by PT. Source of Mutual Sustenance. This private company engaged in the distribution of food products also needs a decision support system that can control the inventory of goods so as to facilitate the process of controlling inventory. Previously, inventory at PT. Sumber Rezeki Bersama experienced problems where the company did not prioritize ordering goods, especially those with the highest sales. So that when there are many messages from consumers for these goods, the company cannot fulfill orders on time, given the stock of goods that are not always available (because they are not prioritized).
Web-Based Expert System Application for Diagnosing Dental and Oral Diseases Budi Kurniawan
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: 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.v4i1.64

Abstract

Controlling the amount of inventory value is not an easy thing for Computers in the current era of globalization are a major need in supporting human work. One of the branches of computer science that is widely used by humans to help work is the formation of an expert system which is one of the sub-fields of artificial intelligence [1]. One of the uses of expert systems is in the field of dentistry. It is proven by the emergence of Nyoman Kusuma Wardna's research entitled designing an expert system for diagnosing oral and dental diseases using the CLIPS programming language which was published at the National Seminar on Information Technology Applications held at Gajah Mada University, Yogyakarta 21 June 2008 . This application appears with an interface in the form of closed questions about the symptoms felt by the user so that it does not maximize the diagnostic results obtained. This expert system is also a development of Bambang Suyono's research (National Seminar on Informatics UPN Yogyakarta 22 May 2010) which has a deficiency in using the depth first search method so that it is unable to display two or more solutions [3], whereas in diagnosing a disease sometimes a doctor determines differential diagnosis. This is what prompted the author to develop the application system by correcting all existing deficiencies. The method used in this research is Extreme Programming (XP) which is part of the AGILE method [7], consisting of five stages, namely, Planning, Design, Coding, Test and release.
Building a Website as a Learning Media at SMP Negeri 1 Gunung Tanjung, Tasikmalaya Regency Masiho Pandiangan
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: 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.v4i1.65

Abstract

Cooperatives are institutions that run on the principle of kinship. Cooperative activities prioritize the welfare of their members and aim to increase the economic growth of the community. In the context of quality control and improvement, it is necessary to assess the health of cooperatives from both external and internal parties of the cooperative itself. So far, the health assessment of cooperatives and savings and loan units is still done manually. This affects decision making when viewed from the speed factor, calculations and the availability of supporting data. The results of this health assessment are the starting point for the community to give trust. With the health predicate rating system for savings and loan cooperatives and web-based savings and loan units, the officers and owners of cooperatives can provide a quick health assessment. The cooperative aspect is based on PerMen NO. 14/PER/M.KUKM/XII/2009 namely Capital, Assets, Management, Earning. Liquidity, Independence and growth and identity. This system generates cooperative health scores and predicates, dashboard information as a visualization of the assessment results, prints certificates and prints assessments

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