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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 184 Documents
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RFID-based cadet access management system with face recognition and cctv integration Azzam Ma'ruf; Muhammad Azhar Prabukusumo; Eryan Ahmad Firdaus
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): 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.v9i3.378

Abstract

Access control in a military campus environment demands records that are accurate, fast, and difficult to falsify, yet manual logbook recording at Unhan RI remained prone to error and identity fraud. This study designed and built SAKTI, a web-based integrated security access system whose novelty lies in unifying three components within a single transaction flow: RFID for initial identification, face recognition for biometric authentication, and event-based CCTV capture as tamper-proof visual evidence. Unlike prior dual-factor systems, this unified pipeline produces a real-time digital audit trail that links every access decision to a captured identity image and a centralised presence record. The system was developed using Rapid Application Development with a Laravel-MySQL backend and a Python worker for face verification and RTSP snapshot retrieval. Testing on fifty cadets achieved a hundred percent verification success rate, reduced processing time by 77.8 percent, and earned very good scores in User Acceptance Testing from both security personnel and cadets. SAKTI demonstrates a practical and scalable approach to enhancing physical security management, real-time identity verification, and forensic audit trail generation in military campus environments.
Implementation of the EUCS and TAM methods in analyzing user satisfaction with the SEMAIK DISDUKCAPIL website as an online population administration service in Central Lombok Reski Piandari; Mohammad Taufan Asri Zaen; Jihadul Akbar
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): 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.v9i3.382

Abstract

This study aims to analyze user satisfaction and acceptance of the SEMAIK Website from the Central Lombok Disdukcapil as an online population administration service by integrating the End User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) methods. The study uses a quantitative approach with 150 respondents who have used the SEMAIK Website. Data was collected using a Likert scale questionnaire and analyzed using PLS-SEM with SmartPLS. The test results show that Accuracy → User Satisfaction has a positive and significant effect (β = 0.236; t = 2.238; p = 0.025), Ease of Use → User Satisfaction (β = 0.229; t = 2.069; p = 0.039), User Satisfaction → ATU (β = 0.229; t = 1.975; p = 0.048), PU → ATU (β = 0.315; t = 2.922; p = 0.003), PU → BI (β = 0.376; t = 5.302; p < 0.001), ATU → BI (β = 0.319; t = 3.794; p < 0.001), and BI → AU (β = 0.532; t = 8.512; p < 0.001). Meanwhile, Content, Format, and Timeliness did not show any relationship Significant for User Satisfaction. The R² values of 0.212 for ATU, 0.283 for AU, 0.341 for BI, and 0.319 for User Satisfaction show the model's ability to explain endogenous constructs. The largest effect size (f²) is in the BI → AU relationship at 0.394, while PU → BI is 0.179. These findings indicate that integrating EUCS and TAM provides a complementary perspective in explaining user satisfaction and technology acceptance in web-based population administration services.
Analysis of factors affecting Canva app user satisfaction among vocational high school students in Central Praya sub-district using the integration of Webqual 4.0 and EUCS Yanti Apriani; Mohammad Taufan Asri Zaen; Wire Bagye
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): 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.v9i3.383

Abstract

The use of Canva in learning activities and graphic design creation highlights the importance of evaluating quality and user satisfaction. Previous studies on Canva have used various approaches but have not simultaneously tested the WebQual 4.0 and EUCS dimensions on vocational high school students using Canva. This study offers novelty by testing three integrated WebQual 4.0 dimensions and five EUCS dimensions with User Satisfaction in the context of vocational education. The study uses a quantitative approach with a cross-sectional survey design and purposive sampling. Data were collected through Google Form questionnaires from 220 students across three vocational high schools in Praya Tengah District and analyzed using PLS-SEM with SmartPLS 4. The results show that Usability Quality (β=0.230; t=2.940; p=0.003; f²=0.043), Service Interaction Quality (β=0.458; t=5.146; p<0.001; f²=0.236), Content (β=0.150; t=2.235; p=0.025; f²=0.024), Accuracy (β=−0.174; t=2.087; p=0.037; f²=0.022), Format (β=0.149; t=2.922; p=0.003; f²=0.031), and Ease of Use (β=0.131; t=1.977; p=0.048; f²=0.024) all show a significant relationship with User Satisfaction. The model explains 42.7% of the variation in User Satisfaction (R²=0.427). These findings provide empirical evidence on the application of integrating WebQual 4.0 and EUCS in evaluating Canva user satisfaction in the vocational high school education context
GIS based decision support system for flood free housing location prioritization using analytical hierarchy process Ekhram Difa Nasution; Mhd Basri
Journal of Intelligent Decision Support System (IDSS) Vol 9 No 3 (2026): 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.v9i3.384

Abstract

Rapid population growth in the Tembung Area, Percut Sei Tuan District, has accelerated land conversion and increased exposure to flood hazards, creating a need for more objective approaches to residential site selection. However, existing housing selection practices remain largely subjective and have not sufficiently integrated flood-related spatial criteria within a GIS-based decision framework. This study addresses this gap by developing a Geographic Information System (GIS)-based Decision Support System (DSS) that integrates the Analytical Hierarchy Process (AHP) to support the prioritization of flood-safe residential locations. A quantitative approach was employed by combining expert judgments from the North Sumatra Housing and Settlement Department with geospatial data from DEMNAS, RBI, and BMKG. Four environmental criteria—elevation, distance to river, slope, and rainfall—were evaluated across three housing alternatives using a web-based platform developed with PHP and Leaflet.js. The AHP results identified elevation as the most influential criterion (46.58%), followed by distance to river (29.44%), slope (16.03%), and rainfall (7.95%). The Consistency Ratio (CR) of 0.0491 (CR < 0.10) indicates an acceptable level of consistency in the expert judgments. The final synthesis ranked Citra Graha Housing as the highest-priority alternative, with a score of 0.3989 (39.89%), followed by Benhil Indah (0.3163) and Mutiara Biru (0.2850). Black Box Testing achieved 100% functional conformity, demonstrating that the developed system successfully performed its specified functions. The main contribution of this study is the integration of AHP-based multi-criteria decision analysis with GIS-based spatial information to provide a more structured and transparent framework for flood-safe residential prioritization.

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