cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Dahlan Abdullah
Contact Email
dahlan@unimal.ac.id
Phone
+62811672332
Journal Mail Official
ijestyjournal@gmail.com
Editorial Address
Jl. Tgk. Chik Ditiro, Lancang Garam, Lhokseumawe, Aceh - Indonesia, 24351
Location
Kota lhokseumawe,
Aceh
INDONESIA
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 775 Documents
 69   70   71   72   73 
Composable Commerce: Designing Protocol-Agnostic, Agent-Ready Enterprise Retail Infrastructure Senthil Kumar Muthu
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.v6i1.1979

Abstract

Every enterprise commerce platform running today was built for human consumers sitting in front of browsers, clicking, reading, deciding, and entering payment details one field at a time. Agentic commerce introduces an entirely different kind of consumer to this infrastructure, exposing fundamental mismatches through brittle integrations, suboptimal commercial outcomes, and agent transactions that fail to meet customer expectations. This paper argues that the mismatch cannot be resolved through incremental feature additions. Instead, it results from five architectural assumptions that are appropriate for human-initiated commerce but inadequate for agent-initiated commerce: session state coupling, synchronous rendering dependency, human-latency API design, monolithic promotion evaluation, and identity-first checkout. For each assumption, the paper proposes a composable architectural resolution, which together forms a Composable Commerce Design Philosophy based on four core architectural principles. The paper further introduces a four-level Capability Maturity Model to assess the extent to which commerce platforms are prepared for agent-driven transactions. To support practical adoption, a Strangler Fig-based migration strategy is proposed, enabling retailers to progress toward agent-readiness without undertaking a disruptive platform-wide rewrite. The paper concludes by examining the broader industry implications of adopting this design philosophy, including the potential transformation of commerce architecture and competitive dynamics. Attention is given to the risk that agent-readiness could become concentrated among the largest and best-capitalized retailers, creating technological and economic barriers for smaller enterprises. The proposed framework therefore provides both an architectural perspective and a practical pathway for organizations preparing their commerce platforms for an increasingly agent-driven digital marketplace
Enterprise Cloud Observability and Security Governance: Building Resilient Multi-Account Architectures for Modern Financial Services Platforms Prasada Rao Paleti
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.v6i1.2002

Abstract

Cloud delivery of financial services is increasingly adopted for mission-critical applications such as portfolio management, electronic trading, risk analytics, fraud detection, and regulatory reporting. However, distributed multi-account and multi-region cloud environments introduce persistent challenges in operational visibility, security governance, compliance monitoring, and service resilience. This study develops and evaluates a generalized framework for enterprise cloud observability and security governance in financial services organizations. The framework integrates centralized log analytics, multi-account network governance, identity and access management, automated policy enforcement, AIOps-based predictive operations, and cloud-native disaster recovery within a unified operational model. The approach combines observability engineering, cloud governance, security control, and financial-sector compliance requirements to establish coordinated monitoring and governance across distributed environments. Experimental evaluation was conducted to assess the framework's effectiveness in operational monitoring, security governance, compliance management, anomaly detection, incident response, and resilience. The results demonstrate that integrated observability and governance mechanisms improve the timeliness of anomaly detection and incident resolution, reduce compliance violations, and strengthen operational resilience across complex multi-account environments. Centralized visibility and automated policy controls also improve consistency in security enforcement and compliance oversight, while predictive operational capabilities support earlier identification of potential service disruptions. The findings indicate that the framework provides a structured and adaptable model for organizations requiring strong visibility, controlled access, continuous compliance, and reliable cloud-based financial services. Its modular architecture also supports adaptation to other highly regulated sectors, including banking, insurance, healthcare, and government services. The study concludes that integrating observability with security governance provides a practical foundation for managing operational complexity and regulatory requirements in distributed cloud environments
Software-Defined UPF on ARM: Architecture, Performance, and Industry-Vertical Applications at the 5G Edge Madhav Narayan Bhat
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1966

Abstract

The 5G User Plane Function (UPF) is the workhorse of commercial 5G cores, terminating GTP-U tunnels from the radio access network through the N3 interface and forwarding subscriber traffic to data networks through N6, while being controlled by the SMF through the PFCP-based N4 interface. Carrier-grade packet processing has traditionally relied on x86 processors with DPDK; however, recent advances in cloud-native networking, ARM Neoverse and embedded ARM systems-on-chip, and O-RAN-enabled network disaggregation have established ARM-based UPFs as credible and potentially advantageous solutions for edge deployments. This article argues that high-performance ARM-based packet processing at the 5G edge represents an architectural shift rather than a tactical optimization. The analysis identifies eight industry verticals where ARM-based UPFs can provide significant value: private 5G for manufacturing, fixed wireless access, neutral-host small cells, immersive cloud gaming and augmented or virtual reality, vehicle-to-everything (V2X) connectivity, telemedicine, public safety, and rural connectivity. These applications are categorized according to their dominant technical requirements, including latency, throughput, multi-tenancy, and cost efficiency, demonstrating the applicability of ARM-based architectures across diverse 5G service classes. Publicly reported performance results, including eBPF/XDP-based UPFs achieving approximately 10 million packets per second on six cores and VPP-based platforms delivering multi-terabit-per-second throughput, are synthesized with relevant standards, including 3GPP TS 23.501, TS 29.244, and TS 22.104, ETSI Multi-access Edge Computing (MEC), and O-RAN specifications. The article further examines economic, energy-efficiency, sustainability, and geopolitical implications, emphasizing ARM-based UPFs as a strategic mechanism for telecom infrastructure diversification, edge scalability, and supply-chain resilience
A Methodology of Data Arrival Time Equalization in High-Speed, Highly Skewed Digital Design Sagar Mallik
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.v6i1.2011

Abstract

The digital system-on-chip industry is increasingly adopting advanced technology nodes, in which global variations in process, device, and interconnect introduce substantial uncertainty in timing behavior. Such variations complicate static timing analysis and timing closure because conventional corner-based approaches can introduce excessive pessimism and fail to capture realistic combinations of delay conditions. This study develops a comprehensive timing path modeling framework that addresses these limitations by targeting the combinational logic cloud rather than optimizing individual paths or isolated bottleneck gates. The proposed approach seeks to balance minimum and maximum data arrival times across sequential endpoints, thereby expanding the valid data window available for reliable operation. Useful skew is incorporated to mitigate setup timing violations. At the same time, tapered gate structures and controlled delay scattering during logic synthesis or engineering change order implementation are used to resolve setup–hold conflicts without creating closure deadlocks. The resulting methodology provides a coordinated mechanism for managing timing variability and improving the efficiency of the timing-closure process toward tapeout. Balanced arrival times increase the available timing margin and can reduce the susceptibility of sequential circuits to functional faults caused by global process variation. The expanded valid data window also improves signal integrity and power behavior by reducing the sensitivity of timing paths to crosstalk-induced delays and by limiting conditions that lead to glitching. These results indicate that combinational-cloud-level timing modeling can provide a broader and more systematic alternative to conventional path-centric optimization. Integration of the proposed techniques into electronic design automation tools could extend their capability to manage aggressive global process variations while reducing closure complexity. The approach therefore offers a practical framework for improving timing robustness, design reliability, and tapeout efficiency in advanced digital system-on-chip designs
AI-Driven Energy Optimization in 5G Advanced/6G Radio Access Networks: A Conceptual Architecture and Methodology Gaurav Patel
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.v6i1.2000

Abstract

Energy consumption in 5G-Advanced and 6G Radio Access Networks (RANs) is a critical operational challenge, as energy costs account for 15–40% of mobile network operators' expenditures and base stations account for approximately 73% of total network power consumption. Traditional rule-based energy management, relying on fixed sleep schedules and static thresholds, is inadequate for dynamic traffic patterns and stringent Quality of Service (quality of service) requirements in next-generation networks. This study develops an AI-driven RAN Energy Controller that integrates machine learning-based multi-horizon traffic forecasting, predictive load balancing, and safe reinforcement learning (RL) orchestration within a three-plane Data, Intelligence, and Control architecture aligned with O-RAN principles. Multi-state sleep scheduling is optimized using constrained integer programming, while continuous adjustments to antenna tilt and transmit power enable adaptive energy management. Safety is enforced through action masking and Lagrangian constraint mechanisms to prevent coverage violations. A 48-hour synthetic multi-cell RAN simulation is conducted under carrier-grade guardrails, including P5 RSRP ? –110 dBm, PRB utilization ? 90%, and BLER 0.5%. The proposed controller reduces energy consumption by 24.3% relative to an always-on baseline while maintaining 99.8% system uptime and a 99.7% handover success rate. Zero coverage violations are observed under forecast errors of up to ±30%. Compared with rule-based methods and static scheduling, the controller achieves higher energy savings of 24.3%, compared with 15.4% and 12.1%, respectively, while avoiding the reported quality of service degradation of 1.8% and 2.3%. Multi-cell validation yields an accuracy of 84.7%. The results demonstrate that the proposed architecture can combine predictive intelligence, constrained optimization, and safe RL to enable autonomous, QoS-aware energy optimization for carrier-grade O-RAN deployments
Secure-by-Design Modernization in Insurance: Managing Risk, Identity, and Compliance in API-Led Hybrid Architectures Kalyana Sundaram Chidambaram
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1964

Abstract

Modernization of insurance systems is driving a fundamental transition from closed, perimeter-protected legacy environments to distributed, application programming interface (API)-led, cloud-integrated ecosystems. Although this transformation enables greater operational agility, scalability, and integration, it also expands the attack surface and introduces regulatory complexities that conventional perimeter-based security models cannot adequately address. This article presents a secure-by-design framework for insurance modernization that integrates identity and access management (IAM), API security governance, risk mitigation, regulatory compliance automation, and operational resilience into architectural decisions from program inception rather than applying security controls as post-deployment overlays. The framework is analyzed across five dimensions: centralized identity management, API gateway security, hybrid architecture risk management, automated compliance enforcement, and operational resilience. Drawing on practitioner literature and evidence from comparable enterprise security programs, the analysis indicates that secure-by-design adoption can generate measurable security and governance improvements. Centralized IAM and role-based access controls reduce unauthorized access risks, while gateway-enforced security policies mitigate vulnerabilities at the API layer. Continuous monitoring strengthens incident detection capabilities, with reported mean time to detection (MTTD) improvements of 55–70 percent. Furthermore, policy-as-code governance pipelines enable earlier identification of security and compliance defects, achieving detection improvements of approximately 65–80 percent earlier in the software development lifecycle. The framework is mapped against relevant regulatory and security standards, including the National Association of Insurance Commissioners (NAIC) Model Cybersecurity Law, General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and NIST Cybersecurity Framework (NIST CSF). The proposed framework provides insurance technology leaders with a regulatory-grounded architectural reference for managing cybersecurity, compliance, and resilience throughout modernization initiatives
Enhancing Computational Thinking through FluidSIM: Preparing Future Vocational Teachers for Quality Education Nurulita Imansari; Muhammad Nurtanto; Rina Febriana; Agung Panji Sasmito; Dani Irawan; Eko Supraptono
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.v6i1.1617

Abstract

Computational thinking ability is an essential 21st-century competency that prospective vocational teachers need to develop to support technology-based learning. However, its development is still dominated by programming-based approaches, while the use of engineering simulation software remains limited. This study aims to analyze the effectiveness of FluidSIM in improving the computational thinking ability of prospective Electrical Engineering teachers. A quasi-experimental method with a one-group pretest-posttest design was employed, involving 21 students from the Electrical Engineering Education Study Program. The research instrument was a computational thinking test measuring four dimensions: decomposition, pattern recognition, abstraction, and algorithmic thinking. The results of the paired-sample t-test showed a significant improvement in students’ computational thinking ability after FluidSIM-based learning was implemented. Furthermore, the N-Gain analysis produced an average score of 0.734, which falls into the high category. The highest improvement occurred in decomposition, with an N-Gain value of 0.750, followed by algorithmic thinking at 0.736, pattern recognition at 0.721, and abstraction at 0.714. These findings indicate that FluidSIM is effective not only in supporting students’ understanding of engineering concepts but also in developing essential computational thinking skills. The simulation environment enables students to decompose engineering problems, recognize patterns, construct abstract representations, and formulate systematic solution procedures through interactive learning activities. Therefore, FluidSIM-based learning can serve as an alternative technology-supported approach for strengthening computational thinking in vocational teacher education. This study contributes empirical evidence for integrating engineering simulation into teacher preparation and supports Sustainable Development Goal 4 by promoting quality education through meaningful technology integration in learning
Rules-Based Consolidation Automation: Demystifying Reconciliation Engines and Ledger-Mapping Intelligence in Modern Financial Close Systems Srinivasarao Challagundla
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.v6i1.2005

Abstract

Manual effort in financial consolidation is often driven less by accounting complexity than by the configuration of elimination, mapping, ownership, and metadata rules. This article examines how rules-based consolidation architectures, ownership-driven elimination engines, chart-of-accounts mapping paths, and metadata governance layers influence intercompany elimination, currency translation, and multi-entity reporting in cloud enterprise performance management platforms. The study uses two large-scale implementations of Oracle Fiscal Close and Consolidation Service, architected by the author as an applied comparative basis: a consolidation rebuild involving more than fifty entities for a Saudi Arabian conglomerate and a thirteen-entity dual-GAAP consolidation for a Southeast Asian telecommunications subsidiary. Across these implementations, the analysis develops a practitioner-oriented framework for assessing when rules-based elimination logic can replace manually adjusted consolidation workbooks while preserving control and auditability. The results indicate that structured mapping paths and ownership-rule configuration can function as embedded control mechanisms rather than merely computational routines. Their use reduced dependence on recurring manual adjustments, improved consistency in intercompany treatment and reporting classification, and supported more traceable consolidation processes. The implementations also indicate that close-cycle compression depends on governance conditions, particularly controlled dimension structures, validation checkpoints, and phased deployment of consolidation rules. The study concludes that effective consolidation automation is as much a configuration and governance problem as a processing problem. Sustainable gains, therefore, require finance and IT teams to govern metadata, ownership relationships, mapping logic, and validation controls as integrated components of the consolidation architecture. This approach provides a practical basis for platform redesigns seeking shorter close cycles without weakening reporting consistency or audit traceability
Bridging Data Gaps: A Cross-System Validation Strategy for Cloud and Legacy Healthcare Platforms Sripathi Nagababu
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.v6i1.1987

Abstract

Hybrid healthcare ecosystems increasingly integrate traditional healthcare infrastructures with cloud-based platforms to support operational transactions, advanced analytics, scalability, and regulatory requirements. However, the coexistence of these heterogeneous infrastructures creates significant challenges related to data representation, synchronization, consistency, traceability, and governance. Traditional infrastructures remain essential for maintaining transactional consistency in critical healthcare processes, including billing, eligibility verification, enrollment, claims processing, and provider management. Meanwhile, cloud platforms provide flexible computing resources, distributed data processing, and enhanced analytical capabilities. Differences in database schemas, data formats, ingestion mechanisms, processing architectures, and transformation procedures can consequently introduce discrepancies and reduce confidence in cross-system healthcare data. This study proposes a validated cross-system data structure designed to improve the reliability and integrity of data synchronization within hybrid healthcare ecosystems. The proposed approach incorporates four primary validation components: source validation, transformation validation, inter-system reconciliation, and lineage monitoring. These components are complemented by additional validation mechanisms, including schema validation, record-level validation, time-window validation, and hash-based validation, to detect inconsistencies at different stages of the data lifecycle. Source validation verifies the completeness, accuracy, and conformity of incoming data, while transformation validation evaluates whether data-processing rules preserve semantic and structural consistency. Inter-system reconciliation compares records across traditional and cloud environments to identify missing, duplicated, or inconsistent transactions. Lineage monitoring provides traceability by documenting data origins, transformations, dependencies, and destinations throughout the processing pipeline. Furthermore, automation and orchestration mechanisms are incorporated into extract-transform-load (ETL) workflows and cloud computing environments to enable continuous validation, reduce manual intervention, and improve scalability. The proposed structure provides a systematic framework for strengthening data integrity across heterogeneous healthcare infrastructures. Its implementation can improve synchronization reliability, enhance auditability, support compliance readiness, and reduce the risks associated with inconsistent healthcare information. The framework also enables healthcare organizations to maintain dependable data flows while progressively adopting cloud technologies without compromising the transactional reliability of legacy systems. Overall, the study demonstrates that integrating automated validation, reconciliation, and lineage monitoring into hybrid data architectures can contribute to more reliable, transparent, scalable, and governance-oriented healthcare information systems capable of supporting both operational decision-making and evolving regulatory demands
Analysis of The Effect of Electric Motor Power on Electric Bicycle Speed and Battery Discharge Time Aris Sunawar; Massus Subekti; Dian Sri Wulandari
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1505

Abstract

The growing use of electric bicycles for urban transportation creates a need to select motor capacity according to performance and energy requirements. Motor power affects speed, electrical demand, battery operating duration, and travel range; therefore, a higher-rated motor does not necessarily provide the most efficient configuration. This study compares 350 W and 500 W brushless direct current motors installed alternately on the same electric bicycle platform. The objective was to evaluate the relationship between motor power, rider load, speed performance, mileage, battery discharge time, terminal voltage, current consumption, and electrical power consumption under controlled comparative conditions. Experiments used the same Selis Murai bicycle platform, 48 V 12 Ah battery, 48 V 500 W controller, and 16 x 2.5 wheel size. Five rider loads of 60, 70, 80, 90, and 100 kg were tested on a relatively flat route repeatedly traversed until the battery discharge limit was reached. Maximum speed, average speed, mileage, battery operating duration, terminal voltage, current, and electrical input power were evaluated using descriptive comparison and linear trend analysis. The 500 W motor achieved 20.89% higher maximum speed and 5.5% higher average speed than the 350 W motor. However, its battery operating duration was 16.51% shorter. Across the five load conditions, the 350 W motor provided an average load-wise mileage advantage of 13.08% and consumed approximately 35.5% less current and 37.3% less electrical power. Increasing rider load reduced speed, mileage, battery operating duration, and terminal voltage while increasing current and power demand. These findings demonstrate a clear trade-off between speed performance and electrical energy use. The 500 W configuration is preferable when higher speed is prioritized, whereas the 350 W configuration is more suitable for longer range, longer operating duration, and lower electrical consumption in daily urban use

Page 71 of 78 | Total Record : 775

 69   70   71   72   73 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol 6, No 4 (2026) Vol 6, No 3 (2026) Vol 6, No 2 (2026) Vol 6, No 1 (2026) Vol 5, No 4 (2025) Vol 5, No 3 (2025) Vol 5, No 2 (2025) Vol 5, No 1 (2025) Vol 4, No 4 (2024) Vol 4, No 3 (2024) Vol 4, No 2 (2024) Vol 4, No 1 (2024) Vol 3, No 4 (2023) Vol 3, No 3 (2023) Vol 3, No 2 (2023) Vol 3, No 1 (2023) Vol 2, No 4 (2022) Vol 2, No 3 (2022) Vol 2, No 2 (2022) Vol 2, No 1 (2022) Vol 1, No 4 (2021) Vol 1, No 3 (2021) Vol 1, No 2 (2021) Vol 1, No 1 (2021) More Issue