cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Marsono Marsel.
Contact Email
idss@iocspublisher.org
Phone
+6281381251442
Journal Mail Official
idss@iocspublisher.org
Editorial Address
Romeby Lestari Housing Complex Blok C Number C14, North Sumatra, Indonesia
Location
Unknown,
Unknown
INDONESIA
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
 1 
Search results for , issue "Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)" : 5 Documents clear
Analysis of Sales Distribution Strategy Gallon Water at Harmoni Water Using Monte Carlo Method Yusniwati Tafonao; Hasanul Fahmi
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Distribution problems currently have an important role in the distribution of goods from producers to consumers because the main function of distribution is the distribution of goods. Currently, Harmoni Water has problems in distribution, the large demand for gallon water causes Harmoni Water to experience problems in distributing water to consumers, so the problems that occur cause Harmoni Water to need a method that is able to find the shortest route for water distribution. so that to solve the problem in Harmoni Water, a monte carlo method is needed to generate random random numbers which can determine the shortest path in the distribution of gallon water in Harmoni Water.
Decision Support System to Determine the Amount of Performance Allowances Using the Simple Additive Weighting (SAW) Method at the Karo District Social Service Lamtiur Pasaribu; Fristy Riandari
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study was made to determine the amount of employee performance allowances in accordance with their performance achievements. The method used is simple additive weighting (SAW). Decision support systems are generally defined as a system that is capable of producing solutions and handling problems. Decision support systems are not intended to replace the role of decision makers, but to assist and support decision makers. The method used in the decision-making process is Simple Additive Weighting (SAW), the process of the Simple Additive Weighting method, which is looking for the weighted sum of the performance ratings for each alternative on all criteria, making a table of the suitability rating of each alternative on each criterion and making a decision matrix. There are four criteria used in the selection using the SAW method, namely attendance, performance, responsibility and teamwork. The method and design used in making this application use Sublime Text and also the database server as a programming language and also use PHP and MySQL programming. The system is designed based on website
Performance of Backpropagation Algorithm in Recognizing Patterns on Finger Print Machines at Jaya Krama Beringin Private Vocational School Using Artificial Neural Network Sutini Sutini; R. Fanry Siahaan
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is about Artificial Neural Networks in Identifying Patterns on Finger Print Machines at the Jaya Kerama Beringin Private Vocational School. The method used is Backpropagation, Backpropagation is applied to determine the finger print machine user with criteria, whether he arrives on time, is he late, and whether go home too early or come home on time. The system was built using Visual Studio 2010 programming language with Microsoft Access 2007 database. The result of this research is a finger print attendance application that identifies the attendance machine user which can help Jaya Kerama Vocational High School in controlling the discipline of teachers and employees.
Implementation of the Client-Server System for Ordering Food and Beverages with the Android Platform Using the Waterfall Method (Case Study: Maxx Coffee Prima Ap Kualanamu Store) Cindy Cintya; R.Fanry Siahaan
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Today's human needs vary, one of today's human needs is information, which is included in the category of social needs. With technology in the trade sector, it can simplify buying and selling transactions, promoting merchandise, data collection in trading can be easy, and so on. . One of the fields engaged in the trade sector is the Maxx Coffee Prima Store. Maxx Coffee Prima is an authentic Indonesian coffee shop that presents innovative products and the best service designed as comfortable as possible in the form of a full coffee shop where Maxx Coffee Prima presents various types of food And ready-to-serve drinks. The client server will be implemented at the Maxx Coffee Prima Store as a medium for ordering Food and Beverages, by applying the Waterfall method. The waterfall method is a sequential arrangement from planning to testing. So that the system is well structured and can make software quality maintained so that maintenance is easier and as a model for software development approaches. The application of the waterfall on the client server is quite effective because of the well-structured planning using a flow chart.
Implementation of Data Mining to Predict Stocks of Goods Using the Apriori Algorithm at Mom's Kitchen Bakery Ruminse Situmorang; Fricles Ariwisanto Sianturi
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The application of the Apriori Data Mining Algorithm in predicting stock items can be used to predict what types of goods or brands should be owned or what stocks are right for use in Mom's Kitchen bakery. By utilizing software that is designed or a system that has been made to predict the stock of goods at Mom's Kitchen bakery is one of the right ways to find out what customers are interested in using the Apriori algorithm. The results of this study are, companies can more easily provide products that customers want more based on the stock that has been provided. The system built is web-based using php with MySQL database.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol 8 No 3 (2025): September: Intelligent Decision Support System (IDSS) Vol 8 No 2 (2025): June: Intelligent Decision Support System (IDSS) Vol 8 No 1 (2025): March: Intelligent Decision Support System Vol 7 No 4 (2024): December: Intelligent Decision Support System Vol 7 No 3 (2024): Intelligent Decision Support System (IDSS) Vol 7 No 2 (2024): June: Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS) Vol 6 No 3 (2023): September : Intelligent Decision Support System (IDSS) Vol 6 No 2 (2023): June : Intelligent Decision Support System (IDSS) Vol 6 No 1 (2023): March: Intelligent Decision Support System (IDSS) Vol 5 No 4 (2022): Desember: Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): September: Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): June: Intelligent Decision Support System (IDSS) Vol 5 No 1 (2022): March: Intelligent Decision Support System (IDSS) Vol 4 No 4 (2021): December: Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): September: Intelligent Decision Support System (IDSS) Vol 4 No 2 (2021): June: Intelligent Decision Support System (IDSS) Vol 4 No 1 (2021): March: Intelligent Decision Support System (IDSS) Vol 3 No 4 (2020): December: Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS) Vol 3 No 2 (2020): June: Intelligent Decision Support System (IDSS) Vol 3 No 1 (2020): March: Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining More Issue