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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
 1 
Search results for , issue "Vol 4 No 3 (2021): September: Intelligent Decision Support System (IDSS)" : 5 Documents clear
Iron Machine Sales Data Processing At Pt. Multiuser-Based Panca Teknik Banjarmasin Distan Madani
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): 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.v4i3.71

Abstract

In processing sales and production data at PT. Panca Teknik Banjarmasin, is an important activity. The distributed data processing is still using Microsoft Excel and Microsoft Word. Therefore, to facilitate employees in data entry, ordering goods and selling goods, the authors seek to use a computerized system in processing the data. Data collection and analysis were carried out in an effort to solve these problems. The research method used in making this system, starting from data collection, problem analysis, system design to system creation is the observation method, direct interviews with employees of PT. Five Techniques. By using this system, the distribution of sales and production data processing at PT.
WEB-Based Decision Support System for Mobile Selection using the Simple Additive Weighting Method Agnesdea Meiti Suroso
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): 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.v4i3.72

Abstract

Along with the development of mobile phones in Indonesia, people from various professions are very dependent on mobile phones. Problems arise when these developments are not accompanied by a system that supports the selection of the right cellphone and according to the criteria of each user. A web-based decision support system for the selection of mobile phones using the simple additive weighting method is a web-based information system that can be used to assist prospective mobile phone buyers in choosing the right cellphone and according to the criteria. In this system the user will give weight to the main criteria, namely price, brand, depreciation, RAM, camera, screen, battery, and features. The weighting must be with a total of 100 percent.
Decision Support System for Selection of Outstanding Students at the Faculty of Mathematics in Natural Sciences at the University of Yogyakarta with AHP and TOPSIS Methods Aan Yulianto
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): 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.v4i3.73

Abstract

Yogyakarta State University (UNY) annually holds the selection of outstanding students for the Bachelor (S1) program, namely students who have achieved high achievements, both curricular, co-curricular, and extra-curricular according to the specified criteria. To assist in determining the winners of outstanding students, a Decision Support System (SPK) is needed that is able to provide alternative solutions. The method used in the SPK for the Selection of Outstanding Students uses the Analytical Hierarchy Process (AHP) for weighting the criteria and the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) to find the winning solution. The design of the SPK for the Selection of Outstanding Students uses the Waterfall model. The output of the system is presented in the form of calculation results of AHP and TOPSIS which can be considered further by decision makers. SPK is built based on a website designed using Sublime software (text editor), Database Management System (DBMS) MySQL Xampp 7 and PHP programming language. The DSS is tested on users and experts. Based on the test, the results show that Correctness is included in very good criteria, Reliability is included in very good criteria, Integrity is included in very good criteria, Usability is included in good criteria, meaning that SPK can meet user needs, such as assisting the registration process, judging and processing data for election participants the most oustanding student. SPK can display information according to user input correctly. Instructions for using DSS help users. SPK is safe from unauthorized parties. The appearance of the SPK is attractive and easy to use.
Thesis Title Eligibility Decision Support System using the Simple Additive Weighting Method at STMIK Palcomtech Riki Maryono Apriando; Lepian Mardinata; Barita Ardianto
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): 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.v4i3.74

Abstract

Decision Support System (DSS) is a system that can assist a person in making accurate and targeted decisions. Many problems can be solved using SPK, one of which is the feasibility of the thesis title at STMIK PalComTech Palembang. There are several methods that can be used in building a DSS including Simple Additive Weighting (SAW). As in the SPK the eligibility of the thesis title. This study uses the SAW method in determining the feasibility of the thesis title at STMIK PalComTech Palembang. In determining the feasibility of the thesis title, there are several criteria that become the basis for making decisions, including Journal, unique title, 5W 1H (What, Where, When, Why, Who and How)(Fitriani & Alasi, 2020). Journal means whether the student fulfills all the journals to meet the eligibility requirements for the thesis title. A unique title means that students must be able to submit a title that has never existed or an existing title is then redeveloped so that it is not the same as the previous title. 5W 1H is the title eligibility criteria that must be met. And in the development of the model using a prototype. The final result in this research is to get an assessment that is ordered from the lowest to the highest, so that the supervisor and the Head of Study Program can easily make decisions by looking at the results of the SPK.
Logistics Distribution Retrieval Support System Using Analytical Hierarchy Process Method Romualdus Vanadio Yoga S
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 3 (2021): 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.v4i3.75

Abstract

Logistics Distribution Decision Making Support System is a computer-based information system that can be used to help distributors to distribute logistics in accordance with what is desired. The distributor in this context is the Regional Disaster Management Agency (BPBD) of Magelang Regency Logistics Division. In this system, the distributor will get a result in the form of a decision recommendation that is made based on the distribution's assessment for each prospective beneficiary area. The distribution assessment is determined by the number of criteria used, namely the amount of damage and loss (JKK), category of damage (KK), cost of proposed funds (BuD). In this system, the Analytical Hierarchy Process method is used to determine the comparison of assessments for each candidate area. This method was chosen because it has a hierarchical structure, which is in accordance with the core of the problem in selecting each regional candidate. The distribution of logistics with the Analytic Hierarchy Process method is able to get regional results that are the priority of logistics distribution with an error rate of 17.24% to 23.78%. The results obtained are the difference between the system and excel scores divided by the excel scores. The results obtained, can be used to help distributors carry out logistics distribution to potential natural disaster areas, and will only help (find the best solution) and not be the main benchmark in logistics distribution.

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