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INDONESIA
MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer
Published by Universitas Bumigora
ISSN : 18584144     EISSN : 24769843     DOI : 10.30812/matrik
Core Subject : Science,
Computer Science & IT
MATRIK adalah salah satu Jurnal Ilmiah yang terdapat di Universitas Bumigora Mataram (eks STMIK Bumigora Mataram) yang dikelola dibawah Lembaga Penelitian dan Pengabadian kepada Masyarakat (LPPM). Jurnal ini bertujuan untuk memberikan wadah atau sarana publikasi bagi para dosen, peneliti dan praktisi baik di lingkungan internal maupun eksternal Universitas Bumigora Mataram. Jurnal MATRIK terbit 2 (dua) kali dalam 1 tahun pada periode Genap (Mei) dan Ganjil (Nopember).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 454 Documents
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Comparative Analysis of Adversarial Robustness Across CNN, VGG19, and Vision Transformer Architectures Using Multiple Defense Strategies Yaya Heryadi; Ilvico Sonata; Bambang Krismono Triwijoyo
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6433

Abstract

This study aims to systematically evaluate the adversarial robustness of Convolutional Neural Network (CNN), VGG19, and Vision Transformer (ViT) architectures for chest X-ray classification. Specifically,this study aims to determine the relative influence of model architectures and defense strategies under identical experimental conditions The research method: All three architectures were evaluated using a chest X-ray dataset under white-box attacks using the Fast Gradient Sign Method (FGSM) and the Iterative Fast Gradient Sign Method (IFGSM), with perturbation levels ranging from ε = 0.00 to 0.30. Five defense strategies-Adversarial Training, Adversarial Distillation, TRADES, MART, and Adversarial Weight Perturbation (AWP)-were compared to a baseline without defenses within a unified experimental framework. Differences between defense methods were assessed using the Friedman test. The results showed that without defenses, all models experienced substantial performance degradation, with IFGSM causing a more severe degradation than FGSM. Under FGSM attacks, VGG19 demonstrated the most consistent resilience across defense strategies. Under IFGSM attacks, ViT combined with Adversarial Training achieved the strongest resilience. Defense effectiveness varied across architectures, and no single defense consistently performed best. Friedman’s test identified significant differences between defense methods for FGSM and IFGSM attacks across all architectures (p < 0.001). The study concluded that adversarial resilience is largely determined by the interaction between model architecture and defense strategy. Defense selection has a greater impact on resilience than architecture complexity alone, highlighting the need for architecture-specific defense selection when developing secure medical image classification systems.
Design And Evaluation of An Enterprise-Oriented Visitor Management Architecture with QR Code Authentication and RESTful Integration Jasri Moh. Jasri; Wahyu Galih Priambodo; Bambang Bambang; Ahmad Hudawi AS; Abu Tholib; M.Fadhilur Rahman; Ahmad Ambari
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6486

Abstract

Visitor management plays a critical role in maintaining operational security, regulatory compliance,and administrative efficiency within organizations operating critical infrastructure. However, many existing visitor management solutions primarily focus on digital registration or QR Code-based identification without adequately supporting enterprise-level workflow integration and interoperability with existing organizational information systems. This study proposes and evaluates an enterprise-oriented visitor management architecture that integrates appointment management, QR Code authentication, RESTful interoperability, and HCL Domino communication services into a unified web-based platform. The proposed architecture was designed using Unified Modeling Language (UML), implemented with the Laravel framework, and integrated with enterprise information systems through REST APIs to support automated visitor registration, employee approval workflows, QR Code-based checkin, and email notification services. The architecture was evaluated through functional testing, user acceptance testing, and security assessment using OWASP ZAP. The evaluation results demonstrate that all functional requirements were successfully implemented, users reported positive acceptance of the system, and no critical security vulnerabilities were identified during security testing. Furthermore, the proposed architecture enables seamless interoperability between modern web technologiesand existing enterprise infrastructure while improving visitor traceability, administrative efficiency, and operational workflow management. This study contributes an enterprise-oriented reference architecture for visitor management that extends existing research beyond standalone registration systems and provides a practical implementation model for organizations requiring secure and integrated visitor management in critical industrial environments.
Enhancing Fingerprint Gender Classification Using VGG19 Transfer Learning with Image-Based Synthetic Oversampling Irsyadul Ibad; Edi Noersasongko; Arief Soeleman
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6652

Abstract

Acute class imbalance and feature degradation in biometric fingerprint datasets significantly degrade gender classification accuracy, causing a shift of the decision boundary towards the majority class and compromising forensic reliability. The objective of this research is to develop and validate a forensically robust deep learning framework capable of improving the performance of fingerprint-based gender classification under severe class imbalance while preserving biologically meaningful fingerprint characteristics. The research method uses a quantitative experimental approach by combining fixed-feature Transfer Learning based on the VGG19 architecture with a Spatial Topology-Preserving Image-Based Synthetic Oversampling technique. Unlike standard data augmentation applied uniformly across all classes or feature-space oversampling that distorts high-dimensional manifolds, IBSO is a targeted image-domain protocol executed exclusively on minority-class training samples prior to feature extraction to preserve biological ridge topology without introducing synthetic artifacts. Using the Sokoto Coventry Fingerprint Dataset (SOCOfing), consisting of 6,000 real fingerprint images (4.770 males and 1.230 females), the dataset was strictly partitioned into Training (70%), Validation (15%), and Testing (15%) subsets before augmentation to prevent data leakage. IBSO balanced the training set to 6,678 images (1:1 ratio), while the validation and testing subsets remained unaugmented. The results show that, when evaluated on an independent testing dataset, the proposed framework achieves 99.92% Accuracy, 99.86% Precision, 100.00% Recall, and 99.93% F1 score, significantly outperforming the baseline ResNet50 (94.12% accuracy) with statistical significance (p < 0.0001). The conclusion of this study is that combining a locked 3 × 3 linear convolution layer with spatial IBSO effectively stabilizes minority class learning while maintaining fine dermatoglyph line density, thus providing an accurate, scalable, and forensic-compliant framework for biometric gender identification and supporting its application in real-world forensic biometric systems.
Mitigating Access Control Vulnerabilities through ISO/IEC 27001-Based Granular Role-Based Access Control Rights Mapping M. Hadi Prayitno; Abrar Hiswara; Juvinal Ximenes Guterres
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 3 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i3.6653

Abstract

Safeguarding information assets is increasingly critical due to rising technology reliance and data breach risks. Currently, many organizations face critical security gaps in asset management, such as insufficient audit logging and inadequate access protocols, which lead to passive risk identification and compliance drift. The objective of this study is to eliminate these access control vulnerabilities by bridging organizational practices with international standards through a structured security framework. The research method employs a qualitative descriptive approach structured across three sequential and highly interdependent phases: baseline analysis of access management, an ISO/IEC 27001 compliance gap assessment utilizing Clause 5 and Annex A metrics, and strategic Role-Based Access Control (RBAC) framework mapping. Existing information assets are benchmarked against these international requirements to systematically expose operational risks and policy deficiencies. The findings of this study are operationalized into a comprehensive and granular RBAC architecture based on the principle of least privilege. The proposed framework establishes precise access-rights mapping, enabling the organization to transition from passive vulnerability identification to proactive risk mitigation across critical information assets, including security logs, backup systems, and Identity and Access Management (IAM) procedures. The contribution of this study lies in the development of a dynamic, technology-agnostic RBAC implementation framework that extends enforceable and fine-grained security controls across diverse infrastructure environments. Unlike conventional static compliance assessments, the proposed approach transforms ISO/IEC 27001 governance requirements into an audit-ready operational blueprint, thereby strengthening organizational security governance, improving regulatory compliance, and providing a practical reference for implementing standardized access control in modern information systems.

Page 46 of 46 | Total Record : 454

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