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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 157 Documents
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Diabetes Mellitus Detection Expert System Using a WEB-Based Naïve Bayesian Approach Suardin Yakup
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 2 (2020): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Health is the most important factor in a person's life. If health has been disturbed (sick) then a person's activities will be disrupted. Today, many diseases have a large number of sufferers and are even effective killing machines. One of them is diabetes mellitus, which is a disease with the highest number of patients, which is as many as 230 people. In Indonesia alone, the number of diabetic patients reached 4.5 million people in 1995 and it is estimated that by 2025 there will be 12.4 million people with diabetes and ranks fifth in the world. This increasing number every year is not supported by an increase in the number of specialist doctors who can treat this disease, so that many sufferers are not diagnosed with diabetes. Advances in the world of technology really help the modern world to detect or predict something that will happen. One of them is an expert system used to detect a disease in medicine. The relationship between expert systems and Islam is explained in many ways in the Qur'an, especially in Surah Al-Hasyr verse 18. The word Nadhar means reason or thought. Reasoning activities are related to the brain or reason. In the context of science, nadhar can be interpreted as an expert system. Because both of them have the benefit of knowing things that will happen or for predicting and even detecting things that will happen. Intellect can determine the goodness or badness of something that is non-physical, while the expert system is used to detect or determine the presence or absence of diabetes mellitus in a person.
Decision Support System for Elective Course Selection Using the TOPSIS Method Ari Rahayu
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 2 (2020): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The Information Systems Study Program, Faculty of Da'wah and Communication, UIN Raden Fatah Palembang, is one of the study programs that offers elective courses in the high semester, namely between semesters six and seven with various advantages, making it difficult for students to make choices according to their interests and talents. In line with that, more and more elective courses are being offered as alternative choices. They are Geographic Information System (GIS), Advanced IS Analysis and Design, Data Mining and Warehouse, as well as Sillation Modeling in even semesters and Decision Support Systems, Multitier, Mobile Programming, and Artificial Intelligence as alternatives that the Study Program offers in odd semesters. In connection with this problem, Then a Decision Support System for the Selection of Elective Courses is designed so that students can determine the choice of elective courses appropriately according to their interests and talents. The method used for the Elective Course Selection Decision Support System is the Technique Order Preference by Similarity To Ideal Solution (TOPSIS) method. This method was chosen because it is able to choose the best alternative from a number of alternatives, in this case the alternative in question is the best choice of courses based on the specified criteria. The results of the process of implementing the TOPSIS method can sort alternatives from the largest value to the smallest value, so that elective courses are produced as solutions and suggestions for decision making for students
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
Geographic Information System Locating Hospitals and Police Stations Based on Android Achmad Junafan
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 2 (2021): June: 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.v4i2.66

Abstract

Currently technology is developing rapidly. By using a geographic information system and internet service media navigation system or GPS (Global Positioning System) found on the android smartphone platform, Google Maps and Google Services which are virtual map products, free and online. Where people can access maps anywhere and anytime when needed. However, the google map does not show the location of the police station and hospital as a whole, therefore it is necessary to develop a geographic information system (GIS) for the location of police stations and hospitals in the Sidoarjo Region. In this study, researchers created an Android-based automatic geographic information system for finding the location of hospitals and police stations.
Decision Support System to Determine Scholarship Recipients using Analytical Hierarchy Process Method Yusup Triwibowo
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 2 (2021): June: 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.v4i2.67

Abstract

Every year, the Faculty of Engineering, State University of Jakarta, holds the registration for BBM and PPA scholarships. Each scholarship has certain criteria to determine prospective scholarship recipients. The number of determining criteria and the large number of applicants raises the problem of how to determine prospective scholarship recipients with a large number of criteria for a very large number of applicants. To assist the determination in determining eligible students to receive scholarships, a decision support system is needed. This study aims to produce a decision support system application for determining scholarship recipients using a web-based Analytical Hierarchy Process method. This research was conducted at the Faculty of Engineering, State University of Jakarta from March 2015 to October 2015. The method used in making this decision support system uses the Prototype development method. This web-based decision support system for determining scholarship recipients is made using the PHP programming language and MySQL database with XAMPP as the local server. Functional testing of the website was tested by 1 expert (Head of Subdivision for Student Affairs, Faculty of Engineering) by inputting 20 sample data for BBM scholarship applicants and 20 sample data for PPA scholarship applicants in 2015 with 15 students quota for BBM scholarship recipients and 14 students quota for PPA scholarship recipients. Based on the results of the functional test on the sample data entered on the website, 15 students received BBM scholarships and 15 students were not accepted as recipients of BBM scholarships and in the PPA scholarship, 14 students were accepted as recipients of PPA scholarships and 16 students were not accepted as recipients of PPA scholarships. Therefore, it can be concluded that the decision support system using the AHP method functions well and can be used in the process of determining scholarship recipients at the Faculty of Engineering, State University of Jakarta
English Vocabulary Learning Application For Students of SD Negeri Cibatu, Tasikmalaya Regency Laura Laura
Journal of Intelligent Decision Support System (IDSS) Vol 4 No 2 (2021): June: 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.v4i2.68

Abstract

Teaching that seems conventional can cause students to find it difficult to understand the material presented by the teacher, as a result, student interest in learning will result in a decrease and have an impact on student achievement. Starting from this, learning by using multimedia that uses media elements such as animation, text, and images that are packaged in a container that is interactive, creative, and fun in order to attract students to increase student interest in learning. Based on the aforementioned background, the purpose and benefit of this research is to build an application for learning English vocabulary for elementary school students in grades 1, 2 and 3 using macromedia flash. It is hoped that this learning application can be used as an application that helps teachers in the learning process,

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