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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 593 Documents
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Digital Transformation of Government: An Applied Science Approach to Smart Governance in Urban SDG Frameworks Alam, Syamsu; Syamsir, Andi; Rusdi, Rusdi; Sugiarto, Sugiarto; Bado, Basri
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1377

Abstract

This study applies an applied science approach to examine digital transformation in regional development, focusing on the Electronic-Based Government System (SPBE) and Smart Governance in Makassar City, Indonesia. The research evaluates the effectiveness, transparency, and contribution of technology-based governance systems toward achieving the Sustainable Development Goals (SDGs), particularly in strengthening urban governance performance. Employing a qualitative design that integrates Triangulation and the Logical Framework Analysis (LFA) method, this study investigates the practical impact of smart government initiatives and their correlation with development-oriented performance indicators. Findings reveal that insufficient interoperability of standards, protocols, and technologies impedes seamless data exchange across platforms, applications, and devices. This technical limitation has constrained Makassar’s smart governance outcomes, reflected in weak performance related to competitiveness, service efficiency, employment levels, and life expectancy. The study also identifies inadequate investment in smart infrastructure, research and development, and institutional capacity, which collectively hinder the realization of a data-driven, adaptive governance ecosystem. From an applied science perspective, this research underscores the necessity of strengthening interoperable digital architectures, ICT infrastructure, and human resource competencies to enhance system integration and decision support. By advancing engineering-based solutions for interoperability and data governance, regional governments can achieve higher levels of efficiency, transparency, and sustainability. The proposed framework provides a technological roadmap for aligning local smart city strategies with global development targets, demonstrating how applied digital innovations can bridge governance effectiveness and socio-development resilience in the context of sustainable regional transformation.
Blockchain Technology for Renewable Energy Transactions and Grid Management Mousa, Sura Hamed; Hussain, Refat Taleb; Hassan, Zahraa Mohammed; Qasim, Nameer Hashim; Mahdi, Akram Fadhel; Batumalay, M.
International Journal of Engineering, Science and Information Technology Vol 5, No 3 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i3.1731

Abstract

The transition to renewable energy sources necessitates novel solutions for decentralized energy management, secure transactions, and transparent regulatory compliance. This paper presents the design and evaluation of a blockchain-based system addressing these challenges through peer-to-peer (P2P) energy trading, dynamic smart grid coordination, and automated Renewable Energy Certificate (REC) lifecycle management. Employing a hybrid methodology that combined qualitative stakeholder interviews with a six-month quantitative simulation of 50 prosumers, our Ethereum Proof-of-Stake (PoS) platform was assessed for efficiency, latency, and stability. The results indicate superior performance over traditional models, revealing significant gains in energy transfer efficiency, marked reductions in transaction latency under various network loads, near-elimination of REC fraud, and enhanced grid frequency stability. This study empirically confirms that decentralized architectures can augment or replace centralized utility models, establishing blockchain as a viable infrastructure for future smart grids and informing policy decisions needed to create a more resilient and equitable energy market for energy efficiency.
Exploring Servant Leadership and Work Commitment on Service Quality in Small and Medium Enterprises in the Agricultural Sector in Karawang, West Java Sutarman, Asep; Kadim, Ahmad; Hua, Chua Toh; Sihotang, Sondang Visiana
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1762

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the national economy. MSMEs are a populist economic system that can help alleviate poverty, and their growth has the potential to expand the economic base and contribute significantly to improving the regional economy and national resilience. The large number of MSMEs can become government partners in resource management. The MSME development strategy focuses on the agricultural sector in Karawang Regency. The success or failure of government policies in advancing MSMEs in the agricultural sector in Karawang Regency depends heavily on leadership, work commitment, and service quality. No company can develop or operate well until MSME participants provide exceptional service quality, work commitment, and service leadership. Therefore, it is important to address service problems in the MSME sector, especially in the agricultural sector in Karawang Regency. The main objective of this study is to empirically investigate the impact of servant leadership and work dedication on service quality. Data were collected using an online survey distributed to 259 SMEs in the agricultural industry in Karawang Regency, Indonesia. Data were evaluated using SEM. Hypotheses were assessed directly and jointly using two-step Partial Least Squares (PLS) path modelling. Based on the research findings, servant leadership had a higher influence value of 30.5% in influencing service quality than work commitment, which had a value of 22.4%. Mediation testing using the Sobel test resulted in a t-statistic value of 2.33 1.96 and a one-sided p-value of 0.00 0.05. Work dedication is an effective mediating component to increase the impact of servant leadership on service quality.
Integrating E-Learning into The Vocational High School Curriculum: Strategies, Challenges, and Future Directions Hakiki, Muhammad; Kartika, Rani; Hamid, Mustofa Abi; Utami, Resti; Suprapto, Yuni; Subhanadri, Subhanadri
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1523

Abstract

This study investigates the integration of e-learning into the curricula of Vocational High Schools, emphasising strategies, challenges, and prospective avenues for enhancing the quality of teaching and learning. E-learning plays a crucial role in enhancing vocational education within the framework of rapid digital transformation, facilitating flexibility, interactivity, and access to a variety of learning resources. A qualitative approach was employed to collect data through in-depth interviews, surveys, and participatory observation at 39 Vocational High Schools in Padang, Indonesia, which offer Computer and Network Engineering and Software Engineering programs. The research included 73 teachers and 195 students who participated in e-learning activities. The findings indicate that both teachers and students possess favourable views regarding the integration of e-learning, recognising its capacity to improve conceptual understanding, promote learner autonomy, and create more engaging educational environments. Educators indicated that the implementation of learning management systems, online discussions, multimedia resources, and virtual simulations enhances student engagement and fosters collaboration. Data triangulation confirmed that teacher competence and engagement in professional development significantly impact e-learning success. Challenges remain, such as insufficient digital literacy, inadequate infrastructure, and diminished direct interaction. The research highlights the necessity of ongoing teacher training, dependable technological infrastructure, and curriculum redesign in accordance with industry standards to facilitate effective e-learning integration. It is advisable to establish collaborative partnerships among educational institutions, industry stakeholders, and policymakers to improve curriculum relevance and learning outcomes. Ongoing monitoring and evaluation are crucial for sustaining dynamic and adaptive e-learning environments. This study presents a framework aimed at enhancing e-learning implementation in Vocational High Schools, thereby facilitating students' preparedness for the digital and industrial workforce.
Usability Evaluation of Virtual Reality Metaverse Lab Using Usability Testing With the User-Centered Design Approach Kartini, Ketut Sepdyana; Yusa, I Made Marthana; Adnyana, I Nyoman Widhi; Putra, I Nyoman Tri Anindia
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1497

Abstract

Advances in educational technology have introduced immersive tools such as Virtual Reality (VR) to support complex learning, especially in abstract fields like chemistry. Metaverselab was developed to provide a safe virtual environment for conducting laboratory experiments, yet early implementation revealed substantial usability issues. Students experienced difficulties with the interface, confusion in navigation, and insufficient guidance, which affected the overall learning experience. This study aims to evaluate and improve the usability and user experience of the Metaverselab platform using a User-Centered Design (UCD) approach. The research applied an iterative process involving 40 student respondents and used two standardized instruments: the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). Both instruments were administered during the initial and final evaluation stages to measure changes in usability and user experience after improvements were introduced. Initial results showed low usability, with an average SUS score of 50.81 and UEQ benchmark values categorized as “Bad” in all dimensions. Based on these findings, specific user requirements were identified and translated into targeted design solutions. Key improvements included an interactive tutorial for first-time users, descriptive information pop-ups for laboratory tools, and undo–redo functions to support error recovery during experiments. Post-implementation testing demonstrated substantial improvement. The average SUS score increased by 44.16% to 73.25, placing the system in the “Good” usability category. UEQ results also improved significantly, with the Efficiency dimension rated “Excellent,” while Attractiveness, Perspicuity, and Stimulation were rated “Good.” These results confirm that the UCD approach effectively identifies user needs and produces design interventions that enhance the usability, efficiency, and overall learning experience of virtual educational platforms.
Application of Singular Value Decomposition for Image Compression of Yogyakarta Cosmological Axis in Digital Learning in Vocational Education Sahria, Yoga; Sudira, Putu; Salim, Mohamad Hidir Mhd
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1732

Abstract

This study examines the application of the Singular Value Decomposition (SVD) method as a digital image compression technique on the Yogyakarta Cosmological Axis object which is used as a digital learning medium in vocational education. The background of this study is based on the need for high-quality visual media with efficient file sizes for easy storage, transmission, and access through digital-based learning systems. The study uses an experimental quantitative approach with data in the form of high-resolution digital images processed through SVD-based compression stages. The research procedure includes image transformation into matrix form, matrix decomposition using SVD, selection of a number of dominant singular values (ranks), and reconstruction of the compressed image. The research data were analyzed using image quality evaluation parameters, namely Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Compression Ratio (CR). The results show that an increase in the rank value is directly proportional to an increase in the quality of the reconstructed image, as indicated by a decrease in the MSE value and an increase in the PSNR and SSIM values. Conversely, a decrease in the rank value results in a higher compression rate but is followed by a degradation in the visual quality of the image. Experimental data also shows that most of the visual information of an image can be represented by a small number of principal singular values, thus allowing for significant file size reduction without losing the important visual structure of the image object. Visually, the compressed image at a medium rank value is still considered suitable for use as a learning medium because the main details, object contours, and visual characteristics of the Yogyakarta Cosmological Axis can still be recognized well. These findings prove that the SVD method is effective as a mathematical-based image compression technique to support the development of efficient, informative, and contextual digital learning media based on local wisdom in vocational education
Big Data and Data Mining for Efficient Energy Storage and Management Nazar, Mustafa; Ali, Zaid Ghanim; Adnan, Kahtan Mohammed; Khalil, Ibraheem Mohammed; Nassar, Waleed; Maidin, Siti Sarah
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1759

Abstract

The rapid expansion of decentralized and renewable energy systems necessitates intelligent strategies for energy storage and management. This paper presents a comprehensive framework that leverages big data analytics and data mining to optimize energy storage systems within smart grid architectures. By integrating high-frequency data from IoT-enabled Li-Ion batteries, flow batteries, supercapacitor arrays, and hybrid systems, our methodology enhances storage efficiency, predictive accuracy, and fault detection. The approach uniquely combines an ensemble forecasting model (Random Forest and XGBoost), which achieved a 97% R² score in predicting energy demand, with Gaussian Mixture Models for consumer pattern clustering and canonical correlation analysis to model the impact of environmental variables. Validation on real-world datasets demonstrates significant performance gains without additional hardware. For instance, algorithmic optimization improved the round-trip efficiency of a Hybrid Battery Energy Storage System from 86.7% to 93.3% and a Li-Ion battery by 7%. The study underscores the critical influence of contextual variables like temperature and humidity on state-of-charge stability. Furthermore, the analytical framework demonstrated a 50% increase in system throughput (from 34 to 51 tasks/sec) after optimization. This research provides a replicable, data-driven model for deploying intelligent analytics in both microgrid and industrial-scale settings, paving the way for more adaptive and resilient energy infrastructures. Future work will explore edge computing and reinforcement learning to further enhance scalability and autonomy.
An Integration of Multicultural Perspective in Musical Theatre Education Using Pattern Mining Li, Jialin; Kim, Hyuntai
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1084

Abstract

Musical theatre education has traditionally focused on Western techniques, limiting students' exposure to the cultural diversity inherent in the art form. Current curricula frequently lack systematic methods for incorporating non-Western traditions, resulting in an underrepresentation of practices like Chinese musical theatre. To address this limitation, this study suggests developing a culturally inclusive curriculum framework based on the Multicultural Musical Theatre Dataset (MMTD) with the Hybrid Rule-Based Similarity Matching Algorithm (HRSMA). The HRSMA combines rule-based pattern extraction through frequent pattern mining with similarity-based classification via Jaccard Similarity. This hybrid approach allows for accurate categorization of various musical theatre styles into structured curriculum themes, ensuring balanced cultural representation. Experimental results validate the model's effectiveness, with 92.5% accuracy, 91.8% precision, 93.2% recall, along with an F1-score of 92.5%, indicating both efficiency and robustness in style classification. Beyond classification, the framework promotes pedagogical inclusiveness by systematically incorporating multicultural practices into theatre education. This approach goes beyond traditional Western-centric models to boost student creativity, broaden cultural understanding, and encourage critical thinking. The combination of frequent pattern mining with similar measures demonstrates creativity in balancing cultural inclusion with data-driven curriculum design. Furthermore, the findings demonstrate the practical advantages of this approach for both educators and students. At the same time, students are exposed to a broader range of cultural expressions, which fosters a deeper appreciation for global heritage and strengthens their artistic adaptability. This dual focus ensures that the curriculum remains both academically rigorous and culturally inclusive. To summarize, the proposed HRSMA-based framework offers a reproducible, methodical, and innovative approach to broadening the scope of musical theatre education. Incorporating global cultural practices improves classification accuracy while also promoting a cosmopolitan learning environment that values diversity, encourages engagement, and strengthens appreciation for world cultural heritage in performing arts training.
Bioinformatics in Sustainable Healthcare and Energy Efficiency Ahmed, Saif Saad; Alal, Sumaia Ali; Badran, Mina Louay; Issa, Samer Saeed; Mohammed, Ghada S.; Batumalay, M.
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1760

Abstract

While originating in genomics, bioinformatics is emerging as a powerful tool for optimizing complex, energy-intensive systems. This paper investigates a novel application of bioinformatics across four critical sectors—healthcare, biofuel production, renewable energy, and the Internet of Things (IoT)—to enhance energy efficiency, operational reliability, and system adaptability. Using a mixed-methods approach that combines statistical modeling, algorithm development, and institutional case studies, this research quantifies the impact of bioinformatics-driven interventions on key performance and energy metrics. The results demonstrate significant and consistent improvements across all domains. In healthcare, integrating genomic analytics and adaptive controls led to energy savings of up to 12.8%. For biofuel production, bio-inspired enzymatic and microbial process optimization reduced energy intensity by as much as 18.1% per liter. In the renewable energy sector, bioinformatics-based modeling increased the net efficiency of a solar farm by 50%. Furthermore, IoT systems with embedded bioinformatics algorithms achieved up to 15.8% improvement in energy-aware operations, confirming the methodology's cross-disciplinary value. This study positions bioinformatics not merely as a scientific tool but as a core organizing principle for fostering sustainability in digitized infrastructures. While challenges such as computational overhead and ethical governance remain, this research provides compelling evidence that bioinformatics can serve as a catalyst for cross-industrial environmental innovation. Future work should focus on integration with high-performance computing and the development of socio-ethical frameworks to ensure scalable and responsible deployment for energy efficiency.
Firewall Analytics in DNS and SYN Flood Protection on Mikrotik CCR in the North Aceh District Government Imanda, Nanda; Abdullah, Dahlan; Fajriana, Fajriana; Nurdin, Nurdin; Ula, Munirul
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1791

Abstract

This study investigates the implementation of an analytical firewall on the Mikrotik Cloud Core Router (CCR) device for network protection against Domain Name System (DNS) and Synchronise Flood (SYN Flood attacks in the information technology infrastructure of the North Aceh Regency Government. DNS-based attacks and SYN Flood have demonstrated a significant disruptive capacity for the continuity of electronic public services, illustrating the urgency of robust security protocols on government infrastructure. The study implemented a quantitative-experimental approach, with methodological triangulation in empirical data acquisition through controlled attack simulations, firewall log analysis, and semi-structured interviews with technical personnel. Experiments are designed with variations in attack intensity to evaluate system resilience thresholds, while firewall log analysis facilitates the identification of anomalous patterns through detection algorithms. The analytics process applies parametric evaluation to temporal mitigation metrics, packet processing capacity, and operational implications on network performance, complemented by descriptive statistical analysis that explores data distribution and temporal trends. The results indicate the differential effectiveness of the specific firewall configuration against a specific attack typology, with an empirical determination of optimisation parameters for real-time mitigation. This research contributes to the corpus of knowledge regarding the security of government networks through the derivation of protective models that are adaptive to the operational characteristics of public infrastructure. The findings have substantive implications for cybersecurity policy formulation in the administrative context of local governments, with extensive significance for the implementation of network architectures that are resilient to volumetric attacks and protocol exploitation.

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