Journal of Intelligent Decision Support System (IDSS)

RFID-based cadet access management system with face recognition and cctv integration

Azzam Ma'ruf, Muhammad Azhar Prabukusumo, Eryan Ahmad Firdaus — Wed, 30 Sep 2026 00:00:00 +0000

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.

A geographic information system-based decision support system for optimizing the use of business space using the analytical hierarchy process method

Fitra Ikhsani, Mulkan Azhari — Wed, 30 Sep 2026 00:00:00 +0000

The rapid growth of commercial activities in Medan Tembung District has intensified competition for limited business spaces, making business location selection a complex multi-criteria decision-making problem. Although the Analytical Hierarchy Process (AHP) and Geographic Information System (GIS) have been widely applied in location selection studies, their integration into a unified decision-support framework for optimizing commercial space utilization remains limited. This study proposes a web-based Decision Support System (DSS) that integrates AHP and GIS to provide objective evaluation and spatial visualization of alternative business locations. A quantitative approach was employed using expert judgments for AHP pairwise comparisons and spatial data obtained from official government sources. The analysis identified Rental Cost (44.25%) as the most influential decision criterion, and the consistency evaluation yielded a Consistency Ratio (CR) of 0.0805, confirming the reliability of the expert judgments. The integrated AHP–GIS analysis ranked Jl. Tuasan as the most suitable business location with a final priority score of 0.6308. The main contribution of this study is the development of an integrated GIS–AHP framework that combines multi-criteria decision analysis with spatial intelligence in a single web-based platform. The proposed system provides transparent and evidence-based recommendations for business location selection and offers practical support for entrepreneurs and local governments in commercial land management, spatial planning, and sustainable urban development.

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 — Wed, 30 Sep 2026 00:00:00 +0000

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

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 — Wed, 30 Sep 2026 00:00:00 +0000

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.