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 157 Documents
 4   5   6   7   8 
Analysis of Financial Annual Reports for Bankruptcy Predictions Using Altman Z-Score Method Kasman Wicaksono; Purnawarman Musa; Apriana Anggraeini Bangun; Octarina Budi Lestari; Witari Aryunani; Sigit Sukmono
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): 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.v5i2.79

Abstract

The study focused on comparisons to investigate a company's financial health situation in diagnosing early bankruptcy of tobacco-producing companies using the Altman Z-Score formula. The bankruptcy risk predictions were analyzed from 2013 to 2018 on the Indonesia Stock Exchange website. The investigative data obtained at the www.idx.co.id website address used annual financial statement data from three tobacco companies in Indonesia for six consecutive years. Research illustrates that from 2013 to 2018, tobacco-producing companies are in the healthy and low-risk category. The total variable is the key to changing its health condition if it changes its value. Therefore, the results of this study can analyze the company, especially financial statements, for information on fulfilling its obligations to investors and creditors and managing assets to increase sales in generate profits.
Prediction of Extreme Sea Water Waves at Ancol Beach Using ID3 Algoritma Algorithm Arum Budi Harti; Dionysius Hendard Christianto; Renata Nabillah; Mutiara Oktavia
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): 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.v5i2.80

Abstract

Ocean waves are natural events where water waves gradually move up and down. This regular rise and fall of water is one of the important aspects of transportation, predicting potential trade disasters and tsunamis in water areas. Know the data The future beyond the level of ocean waves can bring great benefits smoothly Transport and trade of territorial waters. Future data can be obtained from forecasts with certain algorithms. The ID3 algorithm is one of the most common learning algorithms. Used to create a decision tree or decision tree. The result of this analysis is a decision tree that can be used for classifying sea level using an accuracy of 88%.
Usability Evaluation Using Heuristic Method Against NELPIN Website Zaidan Husin; Wenny Eka Maulitya; Sifa Urrohmah
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): 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.v5i2.86

Abstract

The wealth of marine resources in Indonesia is known to be very abundant, especially in fishery products, but until now many fishermen have not been maximal in carrying out fishing activities. Therefore, related parties have launched the NELPIN website which can make it easier for fishermen to carry out fishing activities. To prove that the website can provide convenience to its users, it is necessary to evaluate the usability to test the NELPIN website using the Heuristic method. The system itself needs to be evaluated so that it can be seen whether the system is functioning as desired and errors or deficiencies in the system can be identified and corrected as quickly as possible. The data from this research will be obtained from filling out a questionnaire containing questions regarding usability aspects to evaluate whether the NELPIN website provides convenience for its users or not. Then the results of filling out this questionnaire will be analyzed to draw conclusions and the researchers will provide suggestions that the NELPIN website development team might use to make improvements to the usability of the website.
A Decision Support System To Determine The Best Natural Feed For Fish Cultivation Using Topsis Method Abdul Malik; Ester Frescila Simbolon; Lukman; Tiara Adinda
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): 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.v5i2.87

Abstract

Natural feed in the cultivation of carp (Cyprinus carpio) is a very important effort to do so that the cultured fish can breed quickly and of course in good health. Sometimes carp cultivators are confused about deciding which natural feed is good. This study aims to select the best natural carp feed using a Decision Support System (DSS) with the TOPSIS method. This method uses an alternative approach to the ideal solution called preference value. In this study using several criteria, namely C1: Protein; C2 : Fat; C3 : Carbohydrates; C4 : Feed Prices; C5: Yes. From the calculations performed using the TOPSIS method, the highest preference level with a value of 1 is A1. The results of the Decision Making System with the TOPSIS method from natural selection of carp that can be used by farmers, namely earthworms.  
Evaluation Of Marine Economic Literature Usability Website Using Heuristic Method Sufadlan Nugraha; Putri Ivana Anggraeni M
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 2 (2022): 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.v5i2.88

Abstract

In the current era of globalization, all fields are experiencing advances in information technology, including the marine and fisheries aspects. One of the results obtained from this progress is the presence of a website suhana.web.id which is engaged in marine economic literacy, but in its use the website apparently still has several shortcomings such as content updates that are not carried out optimally and regularly. Seeing these problems, the researcher aims to conduct an evaluation on the website by using the heuristic evaluation method in order to provide recommendations. In applying the heuristic method, the author involves three evaluators who are experts in the field of web programming and interface design. The results of the calculation of several problems in this evaluation are the high level of problems found in the Aesthetic and Minimalist Design aspects with a figure of 38%.
Shooting Simulation Based On Computer Vision Using Programming Language Phyton and Borland Delphi 7 Sugeng Wahyudiono; Tri Yusnanto; Kanafi
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): 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.v5i3.96

Abstract

The purpose of this research is to be able to Design and Build a Scenario Video Shooting Simulation Based on Computer Vision Programming at the Military Academy using Python and Borland Delphi 7 Programming Languages to be used as a means of shooting practice by cadets. The research methodology employed uses the Waterfall method with research stages: Communication, Planning, Modeling, Construction, and Deployment. And the data collection method in making this Shooting Simulation uses Interviews, Observation, and Documentation. The design used in this study is UML (Unified Modeling Language) modeling. A system designer must follow the existing rules when he uses UML modeling. System testing in this study uses Black Box Testing. The result of this research is to produce an application that is easy to use in shooting training at the Magelang Military Academy.
Application of rapidminer for clustering aids cases by province using data mining k-means clustering Widya Surya Ningsih; Eko Haryanto
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): 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.v5i3.101

Abstract

Acquired Immunodeficiency Syndrome or Acquired Immune Deficiency Syndrome (AIDS shortened) is a combination of symptoms and diseases caused by the HIV virus's damage to the human immune system. This study examines the WEKA Application for K-means Clustering Data Mining in Grouping AIDS Cases by Province. The increasing number of AIDS patients in Indonesia is a matter that never escapes the government's notice. People are concerned about the spread of the AIDS virus due to the persistently rising death rate. Documents supplied by the Social Security Administering Body describing the number of villages/subdistricts with health facilities were mined for data and study. This research utilizes data from the years 2008-2011 for a total of 34 provinces. There are two assessment criteria: 1) the average number of AIDS cases and 2) the average number of AIDS-related deaths controlled by three clusters: high cluster level (C1), medium cluster level (C2), and low cluster level (C3) (C3). So that the C1 cluster evaluation for AIDS cases is based on four provinces, Papua, DKI Jakarta, West Java, and East Java, nine provinces for the C2 cluster, and twenty provinces for the C3 cluster. This information can be sent to provinces who are concerned about the number of AIDS cases.
Implementing bandwidth management on computer networks using MIKROTIK router Kurnia Wira Syahputra; Muhammad Iqbal
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 3 (2022): 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.v5i3.102

Abstract

Today's expansion of information technology is paralleled by the development of computer networks; with tools and software for bandwidth control, the computer network can function properly. Campuses, agencies, and businesses in general require bandwidth management with a Mikrotik router to help overcome the density of traffic that can interfere with computer network connections, where when the network is down or the computer network has problems due to the absence of an even distribution of bandwidth for each user, by Therefore, it is necessary to manage the distribution of the amount of bandwidth, with the goal of achieving the optimal bandwidth capacity for each user. Later, the bandwidth capacity will be allocated to each user according to their internet usage priority in order to optimize the available bandwidth capacity. Bandwidth management, often known as QOS (Quality of Services), is an alternative term for bandwidth management. This application is executed in multiple stages, including network design, implementation, and testing, which is characterized by the availability of a more reliable network.
Designing Web-Based Online Mading Application Winarsih; Sutikman
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 4 (2022): Desember: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

The development of online magazine information technology in Indonesia has made a lot of progress, this has also been followed by technological developments in reducing paper use. Developments in the dissemination of event information have had a good impact on event organizers because by using e-mading information media, it is easier for people to find event information. Speed ​​in obtaining easy information is one of the main requirements for obtaining information. A web-based online magazine information system is an option that is expected to help people find it easier to find information about an event they want.
Decision support system for lecturer publication mapping using k-means clustering method Sri Sumarlinda; Wijiyanto Wijiyanto; Wiji Lestari
Journal of Intelligent Decision Support System (IDSS) Vol 5 No 4 (2022): Desember: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Publication is an important tridharma activity for lecturers. This study aims to produce a clustering model using the K-Means algorithm which was built for ease of operation of publications. The method used is research and development which includes the stages of data collection, data preprocessing, clustering process and cluster analysis. The input data consists of 87 with 8 attributes, namely the number of journal articles indexed by Sinta, the number of journal articles indexed by Scopus, the number of citations in Scopus, the H-index in Scopus, the number of articles in indexed journals in Google Scholar, the number of citations in Google Scholar, the H-index in Google Scholar and H-index10 in Google Scholar. The K-Means algorithm is used with 3 clusters and 100 epochs. The clustering results are divided into 3 clusters, namely cluster 1 with 17 members, cluster 2 with 32 members and cluster 3 with 38 members. Clustering with 5 clusters produces cluster 1 with 5 members, cluster 2 with 12 members, cluster 3 with 20 members, cluster 4 with 18 and cluster 5 with 32 members. The results of the cluster analysis show that the clustering process with 3 clusters is improved and the academic application is better than clustering with 5 clusters.

Page 6 of 16 | Total Record : 157

 4   5   6   7   8 

Filter by Year

2020 2025


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, Maret (2020): Exper System, Decision Support System, Datamining Vol 3 No 1 (2020): March: Intelligent Decision Support System (IDSS) More Issue