Journal of Intelligent Decision Support System (IDSS)
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.
Articles
157 Documents
<![CDATA[SCHOLARSHIP RECIPIENT SUPPORT SYSTEM WITH A COMPARISON OF WEIGHTED PRODUCT METHODS AND SIMPLE ADDITIVE WEIGHTING METHODS ]]>
<![CDATA[Oktaviani, Oktaviani]]>;
<![CDATA[Triayudi, Agung]]>;
<![CDATA[Solihati, Ira Diana]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining ]]>
Publisher : <![CDATA[Journal of Intelligent Decision Support System (IDSS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1489.467 KB)
<![CDATA[SMA Dharma Karya as educational institutions annually held the scholarships are given to students based on criteria set by the school. However, in selecting the scholarship still use manual feared scholarships target. So the decision support system built in selecting scholarship learners using weighted product. In this study, using the method of weighted product and simple additive weighting as a comparison. From the results of research on the best methods of weighted product that is on the alternative ranking 14 with a total value of 0.0067401308233662 and the best perengkingan SAW method is also on the alternative 14 with a total value of 0.82. The results of a comparison test on the data obtained 263 product value weighted accuracy of 83.03% and a simple additive weighting of 60.45%. Results have the system usability percentage of 85.6% and has been tested BlackBox Addressing that the system can perform properly selecting scholarship recipients.]]>
<![CDATA[EXPERT SYSTEM FOR DIAGNOSE DIABETES BY USING THE CERTAINTY FACTOR METHOD ]]>
<![CDATA[Raditya, Muhammad]]>;
<![CDATA[Fauziah, Fauziah]]>;
<![CDATA[Winarsih, Endah Tri]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining ]]>
Publisher : <![CDATA[Journal of Intelligent Decision Support System (IDSS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1247.312 KB)
<![CDATA[Diabetes mellitus is a chronic autonim disease caused by interruption of blood sugar regulation, or commonly referred to as diabetes or diabetes. If the disease is not treated with proper care, it can cause dangerous complications, can even threaten the lives of sufferers. Implementation of expert system for diagnosing diabetes mellitus using a web-based certainty factor aims to explore the symptoms displayed in the form of questions - questions that can diagnose different types of diabetes mellitus. Results from this study is a web-based expert system that can detect whether a person's disease or diabetes mellitus. Based on the manual calculation, showed the highest value of 0.]]>
<![CDATA[EXPERT SYSTEM FOR EARLY DETECTION OF BREAST CANCER WITH THE FORWARD CHAINING METHOD ]]>
<![CDATA[Caniago, Diana]]>;
<![CDATA[Andryana, Septi]]>;
<![CDATA[Gunaryati, Aris]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining ]]>
Publisher : <![CDATA[Journal of Intelligent Decision Support System (IDSS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (947.672 KB)
<![CDATA[Breast cancer will be easier to overcome if it is known as early as possible to the importance of self-awareness to perform a routine inspection of BSE. The study presented aims to design a web-based application in the health field in the early detection of breast cancer. Penelian expert system method on this is to use forward chaining to represents the rule and reasoning into a coherent system based on physical symptoms entered. In this system also gets a percentage probability of 72.7%, so it can be quite good. In addition the system can produce two outputs in the form of possibility, the output is both benign and malignant.]]>
<![CDATA[IMPLEMENTATION OF CERTAINTY FACTOR METHOD FOR DIAGNOSE PESTS IN EGGPLANT PLANTS ]]>
<![CDATA[Sujudi, Malik Abdul Aziz]]>;
<![CDATA[Fauziah, Fauziah]]>;
<![CDATA[Hidayatullah, Deny]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining ]]>
Publisher : <![CDATA[Journal of Intelligent Decision Support System (IDSS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1453.023 KB)
<![CDATA[Eggplant crop cultivation is often influenced by various factors, factors that often occurs is pests and diseases. Lack of information and still rely on the experience of farmers to deal with pests and disease is a major cause. This problem is particularly serious because the can lead to crop failure. In this research, expert systems to diagnose pests and diseases eggplant created to help farmers cope with the problem a problem that occurs in terngnya garden and provide solutions and suggestions prevention caused by pests and diseases. Certainty factor method is suitable for expert systems to diagnose disease eggplant crop is because these methods produce results of the highest percentage of belief an expert.]]>
<![CDATA[IMPLEMENTATION OF CERTAINTY FACTOR METHOD FOR DIAGNOSE TUBERCULOSIS ]]>
<![CDATA[Wilsen, Wilsen]]>;
<![CDATA[Wahyuddin, Moh. Iwan]]>;
<![CDATA[Komalasari, Ratih Titi]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 1, Maret (2020): Exper System, Decision Support System, Datamining ]]>
Publisher : <![CDATA[Journal of Intelligent Decision Support System (IDSS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1323.309 KB)
<![CDATA[Tuberculosis is an infectious disease caused by the bacteria mycobacterium tuberculosis. In 2017 Indonesia entered into the third largest number of TB cases in the world. Lack of public knowledge of the dangers of tuberculosis makes this disease is growing rapidly. This is the main reason why it is necessary to create a system that can diagnose the early symptoms of the disease so that it can assist in tackling tuberculosis early. An expert system is one of the techniques in the diagnosis of disease. This research aims to develop applications early diagnosis of tuberculosis disease system is expected to facilitate the public in the early diagnosis of tuberculosis. The system uses the calculation of symptoms / complaints using CF (certainty factor). Results of testing performed by the system and test method validation black box shows that each feature can work with both the application and the content therein can be trusted. In addition, this system is quite powerful in handling more users are accessing the system simultaneously.]]>
<![CDATA[Application Of Dempster Shafer Method To Diagnose Disease In Sugarcane Plant ]]>
<![CDATA[Dewi Novika Simanjuntak]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 4 No 4 (2021): December: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35335/idss.v4i4.36
<![CDATA[Sugarcane is a very important and agrarian plantation product in Indonesia, because sugar cane is a producer of sugar. However, in its cultivation, several problems often occur, such as diseases in sugarcane plants where when sugarcane plants are attacked by disease and are not handled, farmers will experience crop failure. Based on this, a tool is needed in the form of an expert system to diagnose diseases in sugarcane plants. The method used in this study is the Dempster Shafer method which processes data by providing evidence based on the belief funcation and plausible value of each symptom. This study treats 4 types of disease with 13 symptoms. The results showed that the dempster shafer method can be used as a tool in diagnosing sugarcane plant diseases so that it is expected to help farmers in handling diseases that attack sugarcane plants quickly and precisely and can increase profits from sugarcane harvests for farmers.]]>
<![CDATA[Analysis of Sales Distribution Strategy Gallon Water at Harmoni Water Using Monte Carlo Method ]]>
<![CDATA[Yusniwati Tafonao]]>;
<![CDATA[Hasanul Fahmi]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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.]]>
<![CDATA[Decision Support System to Determine the Amount of Performance Allowances Using the Simple Additive Weighting (SAW) Method at the Karo District Social Service ]]>
<![CDATA[Lamtiur Pasaribu]]>;
<![CDATA[Fristy Riandari]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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]]>
<![CDATA[Performance of Backpropagation Algorithm in Recognizing Patterns on Finger Print Machines at Jaya Krama Beringin Private Vocational School Using Artificial Neural Network ]]>
<![CDATA[Sutini Sutini]]>;
<![CDATA[R. Fanry Siahaan]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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.]]>
<![CDATA[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) ]]>
<![CDATA[Cindy Cintya]]>;
<![CDATA[R.Fanry Siahaan]]>
<![CDATA[ Journal of Intelligent Decision Support System (IDSS) Vol 3 No 3 (2020): September: Intelligent Decision Support System (IDSS) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[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.]]>
