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All Journal Jurnal Teknologi Informasi dan Komunikasi JIMEB: Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis
Wicaksono, Yosep Aditya
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Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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A LITERATURE REVIEW ON NETWORK SIMULATION APPLICATION DEVELOPMENT USING VISUAL PROGRAMMING LANGUAGES Wicaksono, Yosep Aditya; Archaqie, Haikal Nur Rachmanrachim
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 16 No. 1 (2025): MARET
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v6i1.1146

Abstract

This study investigates the development of network simulation applications using visual programming languages, aiming to map current trends, tool preferences, and key implementation challenges in educational and experimental contexts. Through a structured literature review of 28 academic sources, the research identifies the increasing adoption of visual-based interfaces, such as VB.NET, C# WinForms, and tools like Cisco Packet Tracer, as essential platforms to support interactive learning in computer networking. Visual simulation environments are found to enhance conceptual understanding, reduce cognitive load, and improve student engagement, particularly among non-technical users. Despite these advantages, the study reveals several limitations inherent in visual simulation tools. These include lack of modularity, limited protocol validation, and constrained interoperability across different vendors and platforms. Moreover, most existing tools operate in standalone environments and have not yet adapted to cloud-based or scalable architecture. The findings suggest a pressing need for hybrid simulation models that combine the intuitive user experience of GUI-based applications with the technical depth and flexibility of CLI or open API backends. This research contributes a systematic synthesis of the strengths and gaps within the current ecosystem of visual network simulators. It provides practical recommendations for educators, developers, and researchers aiming to build more adaptive, extensible, and context-aware simulation environments that align with modern educational and technological needs.
The Influence of Algorithm-Based Performance Appraisal on Employee Trust Handoko, Sri; Wicaksono, Yosep Aditya
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 3 No. 2 (2024): :Mei : Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/vwm4yv40

Abstract

The study background stems from the fact that organizations are increasingly implementing algorithm-based performance appraisal systems. The Human Resource Management (HRM) digital transformation will result in changes that affect employee trust. AI systems provide greater objectivity and efficiency, but their impact on trust in organizational environments warrants further investigation. The research investigates how perceived algorithmic objectivity and system transparency, together with procedural justice, affect employee trust. The research used an explanatory quantitative method together with a cross-sectional survey approach to study 200 permanent employees who had experienced algorithm-based performance assessments. The researchers collected data via Likert-scale questionnaires and analyzed them using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research results show that all examined factors positively impact employee trust, with procedural justice as the strongest factor (β = 0.41), and algorithmic objectivity (β = 0.32) and system transparency (β = 0.21) as the next strongest factors. The model explains 63% of the variance in trust (R² = 0.63). The study contributes through its research, which combines organizational justice theory with algorithmic management to show how trust develops in formal organizational settings, and provides practical guidance for building evaluation systems that maintain fairness, transparency, and accountability
Co-Authors Archaqie, Haikal Nur Rachmanrachim Handoko, Sri