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Dahlan Abdullah
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International Journal of Engineering, Science and Information Technology
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27752674     DOI : -
Core Subject : Science, Education, Social, Engineering,
Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation
The journal covers all aspects of applied engineering, applied Science and information technology, that is: Engineering: Energy Mechanical Engineering Computing and Artificial Intelligence Applied Biosciences and Bioengineering Environmental and Sustainable Science and Technology Quantum Science and Technology Applied Physics Earth Sciences and Geography Civil Engineering Electrical, Electronics and Communications Engineering Robotics and Automation Marine Engineering Aerospace Science and Engineering Architecture Chemical & Process Structural, Geological & Mining Engineering Industrial Mechanical & Materials Science: Bioscience & Biotechnology Chemistry Food Technology Applied Biosciences and Bioengineering Environmental Health Science Mathematics Statistics Applied Physics Biology Pharmaceutical Science Information Technology: Artificial Intelligence Computer Science Computer Network Data Mining Web Language Programming E-Learning & Multimedia Information System Internet & Mobile Computing Database Data Warehouse Big Data Machine Learning Operating System Algorithm Computer Architecture Computer Security Embedded system Coud Computing Internet of Thing Robotics Computer Hardware Information System Geographical Information System Virtual Reality, Augmented Reality Multimedia Computer Vision Computer Graphics Pattern & Speech Recognition Image processing ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT in education
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 82 Documents
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Search results for , issue "Vol 5, No 1 (2025)" : 82 Documents clear
The Miracle of Cryptocurrency: Opportunity at Global Transaction Management, Future Market and Present Value Reality Juanda, Reza; Falahuddin, Falahuddin; Muttaqien, Muttaqien; Ilham, Rico Nur; Ramansyah, Frengki Putra; Multazam, Muhammad
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1111

Abstract

Cryptocurrency is an investment commodity that can generate returns and already has a license to trade in exchange. This study aims to examine the prospects of digital cryptocurrency assets more deeply by summarising the results of literature studies in various countries. In each of the continents scattered in the world, some countries support the existence of cryptocurrency as an investment asset and a means of payment. As a result of this study, it is known that many countries whose governments make strict regulations on support for legality and allow cryptocurrency transactions include: European Union members, namely Germany and Italy, and non-member countries of the European Union, such as Gibraltar. Furthermore, in the Americas, there are Canada and Venezuela. In East Asia and the Asia Pacific, Australia and Japan support the existence of cryptocurrency. Meanwhile, in Southeast Asian countries, there are contradictions between several countries, including Indonesia, Malaysia, Vietnam, and the Philippines, that reject cryptocurrency transactions because they are considered threats to money laundering and the problem of terrorism. However, Singapore and Thailand will protect cryptocurrency investors in their countries and ensure legal regulations for cryptocurrency transactions as investment assets and legal means of payment transactions. Investments in digital currencies or cryptocurrencies are increasingly prevalent worldwide and are supported by significant price increases. Of course, this is a prospect that cryptocurrency transactions can meet the expectations of all users in the world by making regulations regarding the legality of cryptocurrency, so that the transaction model can be integrated between users, both as an asset and a substitute for international payment currencies.
Cross-Cultural Adoption of Gamified Attendance Systems: Opportunities and Challenges for Multinational Enterprises Rahardja, Untung; Andriyansah, Andriyansah; Natalia, Elisa Ananda; Hardini, Marviola; Julianingsih, Dwi
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1077

Abstract

The increasing adoption of gamified systems in workplace settings has garnered significant attention, particularly in multinational enterprises (MNEs) seeking innovative approaches to enhance team member engagement and productivity. Background Gamified attendance systems, integrating game elements such as points, leaderboards, and rewards, present a novel strategy for improving attendance and punctuality across diverse cultural contexts. However, implementing such systems in cross-cultural settings poses unique challenges and opportunities. Objective: This study explores the factors influencing the adoption of gamified attendance systems in MNEs, focusing on cross-cultural adaptability and its implications for organisational performance. Research Method A mixed-methods approach was employed, combining qualitative interviews with HR managers and employees from diverse cultural backgrounds with a quantitative survey targeting 350 employees across 10 MNEs. Data were analysed using thematic analysis and structural equation modelling to identify cultural and organisational determinants of success. Results The findings reveal that cultural dimensions, such as power distance and individualism, significantly impact team member perceptions and engagement with gamified systems. While gamification enhanced attendance rates and morale in low-power-distance cultures, it faced resistance in high-power-distance environments. Additionally, alignment with organisational goals and transparent communication were critical for successful implementation. Conclusion: This study underscores the importance of cultural sensitivity and strategic planning in the cross-cultural adoption of gamified attendance systems. By addressing these factors, MNEs can leverage gamification to foster a more engaged and productive workforce, enhancing global operational efficiency. Future research should explore longitudinal impacts and sector-specific adaptations to optimise implementation outcomes.
Swarm Intelligence Algorithms for Resource Allocation in Renewable-Powered Smart City Infrastructures Nazar, Mustafa; Majeed, Adil Abbas; Abdul Radhi, Rafah Hassan; Jafar, Qusay Mohammed; Khalil, Baker Mohammed; Maidin, Siti Sarah
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1355

Abstract

The increasing integration of renewable energy sources into urban systems necessitates the development of intelligent resource management strategies to ensure optimal and reliable power distribution. Swarm Intelligence (SI) algorithms have emerged as a promising solution for addressing the complex energy management challenges inherent in smart cities, such as generation variability, distributed loads, and the need for real-time decision-making. This paper conducts a rigorous comparative analysis of three prominent SI algorithms—Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), and Artificial Bee Colony (ABC)—within a simulated, renewable-powered smart city environment. Our model incorporates edge computing nodes, solar and wind generation systems, and heterogeneous urban load profiles, including residential, municipal, and electric vehicle charging demands. The study evaluates each algorithm against key performance metrics, including energy efficiency, task latency, convergence behavior, load balancing, and system fault tolerance. The results unequivocally demonstrate that PSO outperforms both ACO and ABC across most performance dimensions, exhibiting faster convergence, superior energy utilization, more effective latency management, and enhanced fault recovery capabilities. While ABC demonstrates competitive performance in flexibility and fairness, ACO shows significant limitations in time-sensitive and failure-prone scenarios. This research contributes a modular simulation framework suitable for real-time edge computing applications and offers practical guidance for deploying adaptive optimization strategies in urban energy systems. Ultimately, our findings underscore the critical importance of algorithm selection in smart city energy infrastructure and highlight the potential of swarm-based intelligence to enable scalable, resilient, and efficient resource management in the sustainable cities of the future.
Energy-Efficient Protocols for Massive IOT Connectivity in 6G Networks Ravilla, Lokesh; Upadhyay, Satish; Louis, Magthelin Therase; Swain, Biswaranjan; Mamatha, G. N.; Mishra, Smita; Aneja, Aseem
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1449

Abstract

The possible evolution in wireless communication as it approaches sixth-generation (6G) networks highlights remarkable features, including one of device connectivity, ultra-low latency, and energy efficiency, enabling mIoT deployment. However, these features come with a myriad of challenges with the integration of billions of constrained IoT devices, especially in relation to the aforementioned energy hurdles alongside scalability and spectrum efficiency. This work focuses on energy-efficient 6G IoT networks, proposing new low-power adaptive communication protocols, emphasising power adaptive performance, dependability, and trustworthiness. The roles of key facilitators, Reconfigurable Intelligent Surfaces (RIS), Non-Orthogonal Multiple Access (NOMA), machine learning coupled with energy harvesting, and even off-grid sustainable power sources are critical for enhanced sustainable connectivity. Covering the protocol design in the physical, MAC, and network layers permits the highlighting of cross-layer optimisation IoT ecosystems in 6G and the focused attention IoT research lacks, supporting bold, environmentally sustainable infrastructure designs.
Low-Latency Edge Computing for Real-Time Applications in Wireless Sensor Networks Mishra, Awakash; Rathour, Abhinav; Raju, Dheeravath; Patil, Shashikant; Muthiah, M.A.; Patra, Bichitrananda; Kalidhas, Aravindan Munusamy
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1490

Abstract

Real-time data processing with Edge Computing, such as Low Latency Edge Computing (LLEC), allows for functioning at the network boundary or edge, which enhances responsiveness and reduces latency in WSNs. This approach is helpful for most time-critical needs in innovative city applications, healthcare, industrial automation, and other areas where prompt actions are crucial. In contrast to conventional cloud models, LLEC processes data at the collection site to reduce the transmission time, improving bandwidth efficiency. Moreover, LLEC increases the height of scalable walls and energy efficiency by shifting the computational burden to the edge nodes. This document focuses on the most critical problems in WSNs, such as restricted resources, limited scalability, and security issues. We offer a distributed edge framework with real-time processing features and minimal security protocols to address these gaps. Localized computation at cluster heads diminishes network congestion while prolonging sensor life. This paper presents multiple case studies demonstrating LLEC's effectiveness in practical applications. Finally, the paper discusses the widening scope of research and the importance of LLEC in future distributed systems.
Advancing Startup Ecosystems Through AI-Driven Matchmaking: A Comprehensive Bibliometric Analysis Lutfiani, Ninda; Wijono, Sutarto; Rahardja, Untung; Purnomo, Hindriyanto Dwi
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1095

Abstract

This study investigates the integration of AI in streamlining the alignment process between startups and potential collaborators and partners, particularly in the Indonesian startup ecosystem. The motivation behind this research lies in the gaps and challenges startups face in efficiently connecting with suitable partners or investors. We employed a bibliometric analysis approach. This study sourced data from Scopus, analysing 515 articles and 59,412 citations published from 2018 to 2023. Key findings provide insights into the predominant role of AI technologies, notably machine learning methods like deep learning and data mining, and the significance of recommendation systems that incorporate collaborative filtering. Furthermore, the results underscore the increasing importance of AI as an indispensable tool in the startup landscape, enhancing the efficiency and productivity of collaborations. We assessed publications from several countries, authors, and citations through the bibliometric measures to comprehensively understand the current trends and trajectories. The study concludes by recognising the transformative potential of AI in fostering tighter and more efficient alliances within the startup ecosystem, laying the groundwork for future research into refining AI-driven collaborative processes.
Beyond 5G: Exploring AI-Driven Network Optimisation for 6G Communications Meher, Kunal; Karthikeyan, S.; Ranjan Sahu, Bharat Jyoti; Sunil, M.P.; Mishra, Smita; Singh, Amanveer; Tejesh, Kukatla
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1305

Abstract

This research consists of various features of 5G networks; the vision for 6G networks promises significant advancements, including ultra-high data rates, sub-millisecond latency, highly intelligent network operations, and exceptional device interconnectivity, among others.  Artificial Intelligence (AI) meets these requirements, which act as a fundamental base in self-organising and proactive adaptive network management. In the scope of this paper, AI integration with core 6G network functions is considered, including AI techniques such as machine learning, deep learning, federated learning, and reinforcement learning. Focus is on the AI-driven optimisation of spectrum utilisation, user experience, traffic pattern prediction, dynamic network slicing, robust QoS, and responsive QoS retention. Advancing edge computing, reconfigurable intelligent surfaces (RIS), and digital twins are also discussed. The study also discusses the lack of AI governance in 6G infrastructure, which includes data privacy, transparency of the algorithms, energy expenses, and global standardisation. This research focus reveals the highlights of the primary gaps in design and governance rationale that emerge through the lack of AI-integrated structural frameworks, resigns through the absence of a designed fabric needed to supplant the transcending potential of 6G enabled autonomous communication systems AI will irrevocably purge and define the naivety behind detonating the boundless potential AI entrenched paradigms will deliver.
Cognitive Analysis of Village Potential Basic Integration in BUMDEs Managers in North Aceh District, Lhokseumawe City and Bireun District Likdanawati, Likdanawati; Hamdiah, Hamdiah; Sutriani, Sutriani; Ilham, Rico Nur; Multazam, Muhammad
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1114

Abstract

Currently, the government continues to strive to build and develop the rural economy through community empowerment programs to increase productivity, business diversity, and regional potential, as well as improve the economy and welfare of rural communities. One of the government's programs is to provide a budget for funds in the field of community empowerment, which will be used to support the capital for establishing Village-Owned Enterprises (BUMDEs). This follows the objectives of BUMDEs, namely optimising the management of village assets and existing village potentials to support the village economy and improve the welfare of rural communities. But unfortunately, until now, the role and function of BUMDEs have not been effective or felt by the community. This is due to the inability and lack of professionalism of BUMDEs' management human resources, and the lack of integration of businesses managed by BUMDEs with existing village potentials, so that it seems as if BUMDEs stands only as a formality without supporting the economic potential of the village community. This study aims to create a strategic concept in BUMDEs management so that it runs more effectively and on target to support the village economy through the development of human resource knowledge in BUMDEs management, integrated with the economic potential of the village community. So, BUMDEs and Basic Pontesial village are integrated into a business institution that supports the village economy for the welfare of the village community. This solution can help village communities strengthen their economy and provide a view of knowledge and open insights to BUMDEs managers so that they can develop BUMDEs into a business that synergises with the community. This study uses primary data from questionnaires and interviews aimed at BUMDEs management employees to see the extent of their abilities, expertise, and knowledge to evaluate and innovate in the business. In analysing the data, this study uses the Maslahah Scorecard measurement method, which refers explicitly to performance measurements oriented towards the welfare of the people (society). The output of this study is the publication of a reputable national journal and a reference book of research results certified by an ISBN with an initial TKT level of TKT 1. A Final TKT Target of TKT 3, namely this study, will focus on the Integration of Basic Village Potential in BUMDEs Managers in North Aceh Regency, Lhokseumawe City and Bireun Regency.
The Effect of Technology Training on Increasing MSME Productivity: Case Analysis of Digital Training Programs for Local Craftsmen Lukita, Chandra; Purnama, Ika Yuni; Rahardja, Untung; Natasya, Ersa Aura; Sanjaya, Yulia Putri Ayu
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1087

Abstract

This research aims to explore the impact of technology training on increasing the productivity of micro, small and medium enterprises (MSMEs), focusing on local artisans. The Partial Least Squares structural analysis method (PLS-SEM) tests the proposed hypothesis based on survey data from MSMEs participating in digital training programs. The research results show that active participation in technology training programs significantly increases the application of technology in MSME business operations. Applying this technology will then have a positive impact on improving the productivity of MSMEs. Additionally, consistency in construct measurement, such as reliability and validity, is vital in explaining variation in the dependent variable. These findings provide an essential contribution to understanding the role of technology in increasing the productivity of MSMEs and highlight the importance of consistency in construct measurement in the context of this research.
Energy-Aware Multimodal Biometric Authentication Systems for Mobile Hamodi Aljanabi, Yaser Issam; Mahdi, Mohammed Fadhil; Hadi, Shahd Imad; Shnain, Saif Kamil; Abbas, Intesar; Maidin, Siti Sarah
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1356

Abstract

As smartphones become central to personal identity verification, the need for secure, efficient, and power-conscious authentication methods is paramount. While multimodal biometric systems, combining features like face and fingerprint recognition, offer superior accuracy over unimodal approaches, their adoption on mobile platforms is severely hindered by high energy consumption and hardware variability. This paper introduces an energy-aware multimodal biometric authentication framework designed for Android smartphones that directly confronts this challenge. Our system features a novel adaptive fusion mechanism that intelligently balances recognition accuracy with power consumption by dynamically adjusting the weights of biometric modalities in real-time based on battery level and ambient environmental conditions. To validate our framework, we conducted an extensive experimental study involving 46 participants across 460 authentication sessions on five different smartphone models. The results demonstrate that our adaptive system significantly outperforms both unimodal and static fusion baselines. It achieves a high True Acceptance Rate (TAR) and a low Equal Error Rate (EER) while substantially reducing the Energy-Delay Product (EDP). A key feature is the system's ability to gracefully degrade to a secure, fingerprint-only mode when the battery is critically low, ensuring continuous availability without compromising security. This research proves that intelligent, context-aware modality adaptation is a viable strategy for creating robust, efficient, and sustainable biometric authentication solutions suitable for long-term use in consumer electronics.

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