Acta Informatica Pragensia, 2025 (vol. 14), issue 3

Editorial

Current Woes and Pitfalls of Publishing Scientific Journals: Development of Acta Informatica Pragensia and Reflection on Using GenAI Tools

Zdenek Smutny

Acta Informatica Pragensia 2025, 14(3), 296-305 | DOI: 10.18267/j.aip.274308  

The editorial summarises the development of the Acta Informatica Pragensia journal over the last three years and complements the journal statistics for the years 2019–2025. Thanks to the indexing of the journal in Web of Science and Scopus citation databases, the world's most prestigious scientific citation databases, the journal began to profile itself as international with regional roots and a core community of Editorial Board members from Central Europe. The paper also presents the journal metrics and statistics of submitted and accepted articles for the observed period. Against the background of the current development of tools based on generative...

Article

Adopting Business Intelligence to Enhance Cross-Dock Operations

Jakub Andar, Jakub Dyntar

Acta Informatica Pragensia 2025, 14(3), 306-315 | DOI: 10.18267/j.aip.2591842  

Background: Cross-docking optimization plays a crucial role in supply chain management by enhancing efficiency, reducing costs and streamlining operations. However, challenges arise from inaccurate data and a lack of digital tools to support decision making. Objective: The objective of this study was to integrate business intelligence (BI) tools with cross-dock operation data to optimize warehouse layout and improve decision making processes. Methods: A combination of Microsoft Visio and Microsoft Power BI was used to visualize and optimize warehouse layout based on historical cross-dock operation data. The methodology focused on integrating real-time...

EBSSPA: Efficient Deep Learning Model for Enhancing Blockchain Scalability and Security Through Fusion Pattern Analysis

Anuradha Hiwase, Amit Pimpalkar, Barkha Dange, Nitin Thakre, Sakshi Jaiswal, Tejaswini Mankar

Acta Informatica Pragensia 2025, 14(3), 316-339 | DOI: 10.18267/j.aip.2602878  

Background: Blockchain technologies have come a long way, and integration of blockchain technologies into different fields is flourishing; however, there is a lack of blockchain platforms to manage the high network loads and more sophisticated security threats. These limitations impede the mass adoption of blockchain applications. One of the main reasons blockchain needs artificial intelligence (AI) is to integrate it for the widespread adoption of blockchain technology, as AI addresses scalability and security problems. Objective: The article proposes a pattern analysis model to overcome scalability and security limitations in blockchain systems by...

DAC-GCN: A Dual Actor-Critic Graph Convolutional Network with Multi-Hop Aggregation for Enhanced Recommender Systems

Gholamreza Zare, Nima Jafari, Mehdi Hosseinzadeh, Amir Sahafi

Acta Informatica Pragensia 2025, 14(3), 340-364 | DOI: 10.18267/j.aip.2613533  

Background: Recommender Systems (RSs) frequently face challenges in balancing exploration and exploitation, particularly in dynamic environments where user behaviors evolve over time. Traditional methods struggle to adapt to these complexities, limiting their effectiveness in real-world domains such as e-commerce, streaming services, and social networks. Objective: The objective of this study is to introduce DAC-GCN, a Dual Actor-Critic Graph Convolutional Network, designed to enhance recommendation accuracy, ranking quality, and adaptability to evolving user preferences. DAC-GCN merges graph-based learning with Deep Reinforcement Learning (DRL) techniques...

Measuring the Feasibility of a Question and Answering System for the Sarawak Gazette Using Chatbot Technology

Yasir Lutfan bin Yusuf, Suhaila binti Saee

Acta Informatica Pragensia 2025, 14(3), 365-392 | DOI: 10.18267/j.aip.2633336  

Background: The Sarawak Gazette is a critical repository of information pertaining to Sarawak’s history. It has received much attention over the last two decades, with prior studies focusing on digitizing and extracting the gazette’s ontologies to increase the gazette’s accessibility. However, the creation of a question answering system for the Sarawak Gazette, another avenue that could improve accessibility, has been overlooked. Objective: This study created a new system to generate answers for user questions related to the gazette using chatbot technology. Methods: This system sends user queries to a context retrieval system, then...

Electronic Health Record Systems in Limited Resource Settings: A Comprehensive Evaluation of the Impilo Platform

Hamufare Dumisani Mugauri, Memory Chimsimbe

Acta Informatica Pragensia 2025, 14(3), 393-407 | DOI: 10.18267/j.aip.2654459  

Background: Zimbabwe has implemented the Impilo electronic health record (EHR) system since 2016 to manage the health system electronically, gather strategic information and reduce manual documentation burden.Objective: We evaluated the capacity of decentralized structures to effectively use the Impilo EHR platform, identify training needs and challenges and provide recommendations for enhancing its effectiveness and support for integrated people-centred services at the primary healthcare level.Methods: We conducted a cross-sectional, mixed-method design, applying the COM-B (Capability, Opportunity, Motivation and Behaviour) model of behavioural change....

Teachers' Perceptions of E-learning and Their Professional Competencies in the Béni Mellal-Khénifra Region in Morocco

El Mustapha El anouar, Mohamed Jallal El adnani, Marouane Zouine, Mustapha El azzabi

Acta Informatica Pragensia 2025, 14(3), 408-421 | DOI: 10.18267/j.aip.2662710  

Background: Recently, e-learning has emerged as a prominent tool for professional development in the education sector.Objective: The aim of this study was to examine teachers′ perceptions of improving their professional skills through e-learning in the Béni Mellal-Khénifra region of Morocco.Methods: The research utilized a questionnaire survey method to collect primary data from 518 teachers. The variables in the proposed model were assessed using a self-tailored five-point Likert scale. Data analysis was performed through confirmatory factor analysis and structural equation modelling using analysis of moment structures (AMOS).Results: The results...

Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings

Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

Acta Informatica Pragensia 2025, 14(3), 422-444 | DOI: 10.18267/j.aip.2672107  

Background: Photovoltaic (PV)-based energy harvesting systems are crucial for ensuring the sustainability and long-term operation of wireless sensor networks (WSNs), especially in remote or infrastructure-less environments. Given the critical role of battery performance in WSN reliability, efficient energy management through Maximum Power Point Tracking (MPPT) algorithms is essential to adapt to variable environmental conditions such as solar irradiance and ambient temperature.Objective: This study aims to comparatively assess the performance of four widely adopted MPPT algorithms—Perturb and Observe (P&O), Incremental Conductance (IC), Fuzzy...

Enhancing Imperceptibility: Zero-width Character-based Text Steganography for Preserving Message Privacy

Saqib Ishtiaq, Naveed Ejaz, Muhammad Usman Hashmi, Syed Imran Hussain Shah

Acta Informatica Pragensia 2025, 14(3), 445-459 | DOI: 10.18267/j.aip.2711756  

Background: Text steganography preserves the privacy of secret messages by hiding them in cover text. However, existing text steganography techniques embed messages by introducing distortions in text, reducing the similarity between the cover and stegotext. Objective: The objective of this study was to design a method that increases the number of embedding choices and locations to hide more secret bits per distortion in the cover text. The goal is to enhance both embedding capacity and imperceptibility.Methods: A text steganography method is proposed that uses eight zero-width characters (ZWCs) to embed secret messages in the cover text. The proposed...

In-Memory Versus Disk-Based Computing with Random Forest for Stock Analysis: A Comparative Study

Chitra Joshi, Chitrakant Banchorr, Omkaresh Kulkarni, Kirti Wanjale

Acta Informatica Pragensia 2025, 14(3), 460-473 | DOI: 10.18267/j.aip.275455  

Background: The advancement of big data analytics calls for careful selection of processing frameworks to optimize machine learning effectiveness. Choosing the appropriate framework can significantly influence the speed and accuracy of data analysis, ultimately leading to more informed decision making. In adapting to this changing landscape, businesses should focus on factors such as how well a system scales, how easily it can be used and how effectively it integrates with their existing tools. The effectiveness of these frameworks plays a crucial role in determining data processing speed, model training efficiency and predictive accuracy. As data...

DORA: Dionaea Observation and Data Collection Analysis for Real-Time Cyberattack Surveillance and Threat Intelligence

Hartinah Hartinah, Andi Syarwani, Ardiansyah Ardiansyah, Irfan Syamsuddin

Acta Informatica Pragensia 2025, 14(3), 474-488 | DOI: 10.18267/j.aip.277461  

Background: As assaults get more sophisticated, honeypots like Dionaea become an essential tool for analysing attack behaviours and detecting weaknesses. Despite their growing importance in cybersecurity, honeypots' role in real-time cyberattack surveillance and threat intelligence is largely unknown. Many studies concentrate on identifying attacks rather than delivering actionable intelligence for defensive solutions. Furthermore, previous research frequently lacks thorough methodology for comparing attack data to real-world incidents and does not investigate the integration of honeypots with external intelligence services.Objective: This study assesses...

Review

Artificial Intelligence in Human Resource Management: A PRISMA-based Systematic Review

Adil Benabou, Fatima Touhami

Acta Informatica Pragensia 2025, 14(3), 489-505 | DOI: 10.18267/j.aip.2644754  

Background: Artificial intelligence (AI) is rapidly transforming human resource management (HRM) by automating essential functions such as recruitment, employee performance evaluation and workforce planning. Despite the growing adoption of AI-driven tools, organizations face numerous challenges, including resistance from HR professionals, ethical concerns and data privacy issues. This transformation has sparked significant academic interest, yet several gaps remain in understanding how AI affects HRM practices and organizational outcomes.Objective: This study aims to explore the integration of AI in HRM by analysing its potential opportunities and...

Systematic Review on Algorithmic Trading

David Jukl, Jan Lansky

Acta Informatica Pragensia 2025, 14(3), 506-534 | DOI: 10.18267/j.aip.276846  

Background: Algorithmic trading systems (ATS) are defined by the use of computational algorithms for automating financial transactions. They have become a critical part of modern financial markets because of their efficiency and ability to carry out complex strategies.Objective: This research involves a systematic review that assesses the market impact, technological advancements, strategic approaches and regulatory challenges related to algorithmic trading.Methods: Following PRISMA 2020 guidelines, this study conducts a systematic literature review by screening 1,567 articles across five academic databases, namely IEEE Xplore, ACM Digital Library,...