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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
Analysis of Special Standardization of Accessible Toilet Facilities at Dharma Negara Alaya Arts Building, Denpasar, Bali Trisnasari Subrata, Ni Putu Eka; Hendrawan, Freddy; Emmi Nutrisia Dewi, Ni Made; Algifari Hayatullah, 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.v5i1.785

Abstract

People with disabilities in Indonesia still often face limitations in accessing public facilities that meet their needs. This highlights the importance of providing disability support facilities that meet standards, especially in public spaces, for community interaction. One example of a public facility that accommodates the community is an art building, the Dharma Negara Alaya (DNA) Arts Building, located in Denpasar City, Bali Province. This study aims to analyze the standardization of supporting facilities for people with disabilities in the Dharma Negara Alaya Arts Building, focusing on accessible toilet facilities. The analysis was carried out based on the Regulation of the Minister of Public Works Number 30 of 2006, which regulates technical guidelines for facilities and accessibility in building structures and the environment. This study uses a descriptive qualitative approach through direct observation and interviews with building users to evaluate the adequacy and suitability of the design of accessible toilet facilities. The study results on the Implementation of accessible toilet facilities in the Alaya Building have followed the standards by the Regulation of the Minister of Public Works of 2006 concerning Guidelines for Technical Requirements for Buildings, and the availability of toilet facilities has been met. However, some design deficiencies still need to be fixed or improved, such as the use of door materials, the room size not yet optimal for standard movement, and no elbow ramps to help wheelchair users access. There are no sanitary facilities or special washbasins for people with disabilities. This research is expected to provide insight into fulfilling the needs of inclusive design for people with disabilities and provide recommendations for improving accessibility at the Dharma Negara Alaya Arts Building, especially for accessible toilet facilities.
Application Introduction and Learning Geometry of Space to Student Elementary School Using Method Rolling Hash Based on Android Fajri, Heri; Santioso, Lucy Lidiawati; Rasna, Rasna; Awal Nur, Muhammad; Ghaniy, Rajib
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.v5i1.772

Abstract

Along with technological advancements, smartphones have evolved from being just a means of communication to now being multifunctional devices that reflect the status of their users and offer various features, such as cameras, music and video players, video calls, voice recorders, games, and internet access. These innovations' progress made them widely used by humans in their activities. One of the innovations that utilizes this technology is a building space introduction and learning application explicitly designed for elementary school students, using the Android-based Rolling Hash method. This application is an interactive educational tool that provides comprehensive information about building spaces, explains the various forms of building spaces, provides applicable examples, and offers solutions to related problems. This application's primary focus is implementing the Rolling Hash algorithm for string matching, which was chosen for its ability to perform fast and accurate matching in answering questions. By implementing this algorithm, the application can efficiently handle various questions involving strings, enhancing students' learning experience. This application uses Java programming language with ADT IDE for Eclipse and SQLite as a database system to store and manage data. The result of this final project is a learning application that not only facilitates the introduction of building space concepts to elementary school students but also shows how modern technology can improve learning methods. The Rolling Hash algorithm proved its effectiveness in fast and precise string matching, providing an optimal solution for this educational application and presenting a model of how technological tools can support primary education innovatively and practically.
Bibliometric Analysis of Strategic Management and Meaningful Work: Trends, Collaboration, and Future Directions Sunardjo, Richard Andre; Riza Chakim, Mochamad Heru; Natalia, Ester Ananda; Rahardja, Untung; Sihotang, Sondang Visiana
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.v5i1.1088

Abstract

This study explores the evolution of Strategic Management and Meaningful Work (SDG-8) research through a bibliometric analysis of Scopus-indexed publications from 2015 to 2025. The aim is to map global trends, collaboration networks, and thematic clusters, thus enhancing understanding of how strategic management practices align with team member well-being and sustainable business models. Building on established literature in sustainable business, digital transformation, and ethical leadership, the research integrates human resource management and organisational behaviour theories. It examines how strategic management interacts with meaningful work, drawing on previous bibliometric and conceptual studies. A keyword-based search in the Scopus database identified 222 publications, refined to 110 English-language articles, conference papers, and reviews. VOSviewer software was used to construct co-occurrence networks and thematic maps across countries, organisations, authors, and keywords. The analysis reveals a significant increase in research output, with key hubs in the United States, Switzerland, Australia, and China. Influential institutions include MIT, Harvard T.H. Chan School of Public Health, and Wageningen University. Emerging themes such as digital transformation and competitive advantage underscore the growing integration of strategic management with meaningful work. These findings highlight the necessity for enhanced international collaboration to advance sustainable business practices and promote team member well-being.
The Influence of Transformational Leadership and Work Motivation on Job Satisfaction, with Contingent Reward as a Moderating Variable Awibowo, Yogo; Ramli, Abdul Haeba
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.v5i1.868

Abstract

This research analyzes the influence of transformational leadership and work motivation on job satisfaction, with contingent reward as a moderating variable. Transformational leadership and work motivation influence job satisfaction, while contingent rewards act as awards based on performance achievements. This research uses a quantitative approach with the Structural Equation Model Partial Least Squares (SEM-PLS) method. Data was collected by distributing questionnaires using Google Forms involving 100 respondents. The population in this research study was PT Tembaga Mulia Semanan Tbk; the sampling technique used was purposive sampling, namely permanent employees of PT Tembaga Mulia Semanan Tbk. The sample for this research was permanent employees of PT Tembaga Mulia Semanan Tbk. The findings of this research show that transformational leadership and work motivation influence job satisfaction. In addition, contingent rewards were not proven to moderate the relationship between transformational leadership and job satisfaction. In contrast, contingent rewards were proven to moderate the relationship between work motivation and job satisfaction. This research provides implications for companies developing a transformational leadership style and creating a reward system to increase team member motivation and job satisfaction.
Cryptocurrency Prospect in the International Market: Pre-sent Value Management and Islamic Perspective Ilham, Rico Nur; Arliansyah, Arliansyah; Juanda, Reza; Sinta, Irada; 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.v5i1.1094

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.  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.  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.
Utilization of Educational Reports in Improving Teacher Performance and School Quality at SD Negeri 2 Purbowangi Harnani, Muji Aris; Saryanto, Saryanto
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.v5i1.874

Abstract

Implementing education report cards still faces challenges, such as low data literacy, limited internet access, and lack of intensive training for teachers and principals. Most schools have not utilized education report card data optimally. Many schools do not systematically utilize education report card data in a real action plan. This article aims to determine how using education report cards improves teacher performance and school quality at SDN 2 Purbowangi. This research method uses a qualitative descriptive approach with a case study design. Using education report cards with the right strategy can improve teacher performance and school quality at SDN 2 Purbowangi. Using data in education report cards helps educational units identify problems, set priorities, determine root causes, and design programs relevant to problem indicators systematically and in a structured manner. Success in reading educational report card data into concrete actions gives educational units definite steps to improve school quality. Teacher training programs, workshops, In House Training (IHT) can improve teacher performance. However, this study also shows several obstacles, such as a lack of knowledge in interpreting data, less fundamental root cause data, and many misconceptions between principals and teachers. Schools are expected to form a special team responsible for supporting the use of educational report cards.
Design of Ethical AI Frameworks for Sustainable and Adaptive Energy Management Systems Humadi, Mustafa; Abbas, Haider Hadi; Hilou, Hassan Waryoush; Najm, Nahlah. M. A. D.; Ali, Ammar Abdulkhaleq; Batumalay, M.
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.v5i1.1288

Abstract

The integration of Artificial Intelligence (AI) in Energy Management Systems changed completely how sustainable infrastructure operates?and is guarded. But the growing independence of AI decision-making presents some serious ethical questions about?fairness, transparency, and accountability. The article introduces a new framework with Ethical AI for Sustainable and Adaptive Energy Management Systems (EAI-SEM) that is designed to combine functional (re)configuration for operational control and ethical governance in centralized: smart buildings and?decentralized: nano-grid settings. The approach incorporates deep reinforcement learning for adaptive control, federated learning for privacy-preserving model updates, and an?integrated Ethics Verification Module for a dynamic assessment of privacy-conformance levels. In experimental simulations over 30-day operation of the smart building and 10-rounds of federated training of the nano-grid, unjust fairness deviation and explainability of the system experienced enhancements, which also indicated?the reduction of carbon dioxide emissions. The?study demonstrated that ethical protocols can be included without impacting on computational efficiency and system responsiveness. Additionally, the federated structure facilitated decentralized ethical responsibility across different actors and thus allowed for the scalable?implementation. The authors verify the possibility of integrating ethics into the computational core of?intelligent energy systems, near from auditing static policies, towards dynamic ethical choices. In the future the process innovation work could be applied to deployments in other infrastructure systems like water?systems and mobility systems, and it provides a reproducible model for the embedding of normative reasoning into AI for infrastructure.
Neuromorphic Hardware Design for Energy-Aware Artificial Intelligence Computation Aljanabi, Yaser Issam Hamodi; Hussain, Salah Yehia; Salim, Darin Shafiq; Al-Doori, Vian S.; Brieg, Jassim Mohamed; Batumalay, M.
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.v5i1.1279

Abstract

Rapid growth of the energy-efficient artificial intelligence (AI) systems has attracted substantial interest in neuromorphic computing that emulates organization and actions of a biological neural?system to support low-power, event-driven information processing. In this work, we propose a neuromorphic hardware architecture for energy-efficient AI computing that utilizes spiking neural networks and monolithic?vertical integration to improve the performance of a variety of vision tasks. The architecture is tested against three benchmark datasets— MNIST, N-MNIST, and DVS128,?representing static, spiking and dynamic input modalities, respectively. The performance metrics, such as energy efficiency, inference latency,?throughput, classification accuracy, and unified Energy Efficiency Index (EEI) are compared to characterize the generalization power of the system in different processing environments. Experimental results show that the proposed chip provides a sharply lower energy per inference with a competitively performing accuracy over conventional AI?accelerators, including GPU-based and microcontroller platforms. Additionally, the hardware achieves sub-2 ms inference latency and high throughput, indicating suitability for real-time, embedded AI applications. Comparative analysis with existing neuromorphic platforms highlights the advantage of architectural co-design in balancing energy and performance constraints. While the absence of on-chip learning presents a limitation, the system offers a scalable foundation for edge AI systems requiring efficient, continuous inference. Future directions include integrating adaptive learning mechanisms and extending evaluation to broader AI domains as a process innovation.
Soft Iontronics: AI-Based Self-Regulating Energy Storage in Living Tissues Dusi, Prerna; Tiwari, Ankita; Desai, Tripti
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.v5i1.1448

Abstract

Using Soft iontronics as a revolutionary approach for biocompatible energy storage is impossible without next-generation biomedical implants and bioelectronic systems. The proposed soft iontronic energy storage system dynamically regulates itself, based on physiological conditions, as an AI-driven, with the capability of efficient energy management in living tissues. Using ionic hydrogels as supercapacitors, and based on AI-powered adaptive power distribution, the system uses biocompatible supercapacitors for stable and flexible charge storage under real-time conditions. Bioenergy harvesting mechanisms, which are integrated in the device, are enzymatic biofuel cells and piezoelectric nanogenerators that allow continuous power generation, thereby reducing the dependence on external charging. With a predictable AI model which fine-tunes the energy release to match the cellular demands, implant longevity and associated energy losses are improved. To confer durability and long-term integration into biological environments, the framework is proposed to include self-healing polymer networks. The superior energy efficiency, rapid charge-discharge cycles, high biocompatibility, and performance evaluations are compared to standard bioelectronic energy systems. The applications from neuro interfaces, cardiac implants, and smart prosthetics are potential, which represent a major advancement in bio-integrated power solutions. The results provide a blueprint for the transition from living tissues to cleverly intelligent bioelectronic devices and the gap between the two. In future work, we will enlarge scalability, real-time optimisation, and in vivo testing to make the practical applicability.
Adaptive Beamforming Techniques for Mmwave and Thz Communications In 6G Kundra, Danish; Vamalatha, Bodireddy; Jadhav, Yogesh; Leo, L. Megalan; Hota, Sarbeswar; Sunil, M.P.; Agarwal, Trapty
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.v5i1.1489

Abstract

The transition to sixth-generation (6G) wireless networks focuses on fulfilling extraordinary demands for ultra-high data rates, extensive connectivity, and ultra-low latency.  Achieving these goals requires extensive spectrum resources, particularly in the emerging millimeter-wave (mmWave) and terahertz (THz) frequency bands. Unfortunately, reliable communication at these frequencies is greatly hindered by high path loss, molecular absorption, blockage, and, even more so, the growing susceptibility to loss of line of sight. To combat these issues, path adaptive beamforming methods are critical in targeting narrow beams to improve link reliability. This work focuses on complete coverage of adaptive beamforming methods applied to 6G mmWave and THz communications, covering all forms of beamforming from fully analog to hybrid and digital architectures. This also includes recent machine learning advancements in beam alignment optimization, channel estimation, user tracking, and overhead minimization. Further, the paper details these systems' performance, complexity, and energy-efficient trade-off factors while putting forth open research opportunities towards developing intelligent, resilient, and adaptive beamforming techniques for next-generation wireless systems.

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