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Teknik: Jurnal Ilmu Teknik dan Informatika
Published by Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern
ISSN : 28088751     EISSN : 27982513     DOI : 10.51903
Core Subject : Science,
Computer Science & IT
Jurnal Ilmu Teknik dan Informatika (TEKNIK) menerbitkan satu-satunya makalah yang secara ketat mengikuti pedoman dan template TEKNIK untuk persiapan naskah. Semua manuskrip yang dikirimkan akan melalui proses peer review double-blind. Makalah tersebut dibaca oleh anggota redaksi (sesuai bidang spesialisasi) dan akan disaring oleh Redaktur Pelaksana untuk memenuhi kriteria yang diperlukan untuk publikasi TEKNIK. Naskah akan dikirim ke dua reviewer berdasarkan pengalaman historis mereka dalam mereview naskah atau berdasarkan bidang spesialisasi mereka. TEKNIK telah meninjau formulir untuk menjaga item yang sama ditinjau oleh dua pengulas. Kemudian dewan redaksi membuat keputusan atas komentar atau saran pengulas. Reviewer memberikan penilaian atas orisinalitas, kejelasan penyajian, kontribusi pada bidang/ilmu pengetahuan. Jurnal ini menerbitkan artikel penelitian (research article), artikel telaah/studi literatur (review article/literature review), laporan kasus (case report) dan artikel konsep atau kebijakan (concept/policy article), di semua bidang : Network Computer and Security Computer Architecture Design Data Mining Human Computer Interaction Sistem pakar (Expert System) Jaringan syaraf tiruan (Artificial Neural Network) Algoritma genetic. Penalaran komputer berbasis kasus (Case Based Reasoning) Agen Cerdas (Intelligent Software Agents) Geographical Information System
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 95 Documents
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Pengembangan Sistem Informasi Pengelolaan Aset dan Barang Berbasis Web untuk Meningkatkan Efisiensi Inventaris di Perguruan Tinggi: Studi Kasus Universitas STEKOM Kampus Kendal Asyraf Ryan Pradana, Asyraf; Sudirman, Bagus; Kamto Sudibyo, Sukemi
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.968

Abstract

This study aims to design and develop a web-based Asset and Goods Management Information System (SIPAB) implemented at Universitas STEKOM, Kendal Campus. The primary issue in asset management at this institution lies in the continued use of conventional tools such as Microsoft Excel and Word, which are prone to errors and inefficiency in reporting and monitoring. The research method used is Research and Development (R&D) with the Waterfall development model. Data collection techniques include observation, interviews, and literature study. The result of this research is a web-based system comprising modules for asset data, maintenance, disposal, and reports accessible internally. The system is expected to improve the efficiency, accuracy, and security of campus asset management.
Analisis Perbandingan Algoritma Penjadwalan Prioritas Preemptive dan Non-Preemptive Menggunakan Aplikasi Web Interaktif Rumahorbo, Gilbert Aldrich; Zulfahmi Indra; Alfarizi Wijaya; Melika Debiyana Putri; Buulolo, Calvin Sahputra
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.994

Abstract

CPU scheduling is a core function in modern operating systems that significantly impacts system performance and efficiency. Among various scheduling algorithms, Priority Scheduling is widely used and exists in two main variants: non-preemptive and preemptive. The non-preemptive mode allows a process to run to completion, while the preemptive mode can interrupt a running process for a higher-priority one. Understanding the behavioral differences between these modes is crucial but often challenging through manual calculations. To address this, an interactive web-based application was developed to simulate and visualize both preemptive and non-preemptive Priority Scheduling algorithms. The research method involved designing the system logic based on the core principles of each scheduling variant, followed by implementation using standard web technologies: HTML, Tailwind CSS, and JavaScript. The application allows users to input custom process data or load predefined case studies, select the scheduling mode, and instantly receive a comprehensive analysis. The results include a dynamically generated Gantt chart, a detailed performance metrics table (including turnaround time and waiting time), and a step-by-step execution log. Through a comparative analysis of a specific case study, the application is proven to be an effective educational tool. It accurately simulates both modes and visually demonstrates the impact of preemption on execution order, resource utilization, and key performance metrics, thereby simplifying the learning process for students and educators.
Adaptive Fuzzy Logic Integration for Optimizing Decision Support Systems under Data Uncertainty Supriadi, Candra
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.1026

Abstract

Decision Support Systems (DSS) can become inaccurate when used with imprecise, incomplete, or dynamically changing data. Fuzzy logic techniques based on conventional methodologies may be strong at handling vagueness, but are unable to adapt their behavior in response to different data distributions on their own. This paper recommends the creation of an Adaptive Fuzzy Logic Integration Framework that dynamically updates membership functions and rule weights in response to data variation to enhance decision accuracy under uncertainty. The described framework combines Fuzzy Inference Systems (FIS) with learning-based parameter update concepts borrowed from adaptive optimisation. The model was simulated and executed on a hybrid algorithmic platform that included gradient-based parameter tuning and iterative feedback learning. Experimental tests were conducted on uncertainty-generated data sets to compare adaptive and conventional fuzzy models in terms of ISME (Root Mean Square Error), convergence stability, and decision accuracy. Previous results show that the adaptive model achieves a 21.4% increase in accuracy and a 28% improvement in convergence rate compared to non-adaptive fuzzy systems. Moreover, the model ensures stable performance even in the presence of random data perturbations, demonstrating its ability to handle uncertainty. This book incorporates a self-tuning fuzzy decision model that converts static inference structures to dynamic evolving decision engines. The outcomes establish a foundation for next-generation smart DSS for real-time optimization in uncertainty.
Resilient Federated Learning Against Injection and Evasion Attacks in Edge Smart Grids: A Simulation Study Wahyudi, Wiwid
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.1027

Abstract

The modernization of smart grids through edge computing introduces significant cybersecurity challenges, most stemming from adversarial machine learning attacks that compromise distributed intelligence. Although Federated Learning is an appealing decentralized model training paradigm for edge smart grids, its resilience against coordinated injection and evasion attacks has not yet been thoroughly explored. To address this critical gap, we develop and evaluate a resilient Federated Learning model for edge-based innovative grid applications. Under a rigorous simulation-based experimental design, we created a controlled environment based on synthetic energy-demand data and implemented adversarial attack scenarios to ensure model robustness. We propose a resilience enhancement layer in our framework during the federated aggregation process to curtail malicious model updates and adversarial inferences. The results show significant improvement in the stability of the proposed model under attack, maintaining a robustness index above 0.62, whereas baseline approaches exhibit complete degradation. This corresponds to a reduction of approximately 34% in the attack impact rate across different-intensity attack scenarios, while maintaining high stability in aggregation. In addition to the adversarial testing framework in the domain of Federated Learning, this work provides a validated resilience model that secures analytics of smart grids without requiring access to raw data. Our methodology presents a resource-efficient alternative to physical testing and enables safe yet comprehensive security evaluation in critical infrastructure applications.
User-Centered Mobile Navigation: Evaluating Local Usability for Improved UX Yunianto, Irdha
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.1028

Abstract

Mobile navigation interfaces continue to be plagued by a key usability problem, particularly when widely accepted design traditions fail to address the specific requirements and mental models of local user populations. This research addresses this significant limitation by using a comprehensive user-focused measurement framework to identify and investigate context-dependent navigation problems in mobile applications. The research employed a multi-method qualitative approach, using in-depth questionnaires, semi-structured interviews, and laboratory-based usability testing of 15 participants on an interactive Figma prototype that simulated real-world navigation tasks. Our analysis, step by step, revealed significant navigation issues in the local context, as evidenced by a 73% task-completion rate and an average participant error of 2.8 across the core navigation tasks. The most significant usability issues were ambiguous iconography, inconsistent application of platform design patterns, and insufficient system feedback mechanisms. The results conclusively demonstrate that localized usability testing is not merely beneficial but necessary while creating genuinely good and accessible mobile experiences. The study provides a replicable, practical context-aware evaluation approach and tangible, right-now-applicable design recommendations, such as enhancing icons with descriptive text labels and using instant visual feedback mechanisms. The study provides developers and designers with tangible takeaways for significantly enhancing navigation user experience without sacrificing methodological availability or implementation convenience across different development environments.

Page 10 of 10 | Total Record : 95

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