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Journal of Applied Engineering and Technological Science
Scopus
ISSN 2715-6087 · Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) · 432 artikel di indeks
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Artikel Jurnal
Enhancing Cognitive Skills Through Interactive Digital Innovation in Computer Program Design For Vocational Students
The objectives of this study were: 1) engaging developing digital innovative interactive on computer programming design for cognitive skills enhancement among vocational certificate students of the Office of Vocational Education Commission 2) effectiveness evaluation 3) compare the cognitive skills…
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Artikel Jurnal
Comparative Analysis of infiltration Area Regulations: A Study of Ministerial Regulation No. 10/2015 on Public Works and Public Housing Versus Ministerial Regulation No. 10/2022 on Environment and Forestry with a Focus on Rupat Island, Indonesia
Groundwater sustainability on small islands depends heavily on effective infiltration zones that support natural recharge. Rupat Island in Indonesia faces declining groundwater levels and seawater intrusion, raising the need for accurate infiltration mapping. This study aims to compare the…
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Innovation in Crop Nutrition Planning Based on Rainfall Prediction Using Singular Spectrum Analysis and Boosting to Optimize Agricultural Management
The high variability of rainfall in tropical climates presents a major challenge for agricultural management, as weather uncertainty often leads to inefficient fertilization practices due to nutrient loss. This study aims to develop a robust framework for rainfall prediction, which can inform a…
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Artikel Jurnal
Study on Machining Process of Multi-step Holes by Using The Standard Cutting Tool and Stepped Drill
Besides technological solutions, machining productivity is a factor that it is always considered by manufacturers. The cutting tool (CT) is one of the key points to boost the cutting efficiency and improve machining productivity of the machining process. The proper cutting tool is a good solution…
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Artikel Jurnal
Optimizing Thermal Load in Compact Buildings: A Comparative Analysis of Single and Hybrid Metaheuristics for Balanced HVAC Efficiency
This work is a comprehensive comparison study of five metaheuristic algorithms — namely GA, PSO, SA, GA-PSO, and GA-PSO-SA — using 3,000 model evaluations across 30 independent runs to optimize compact building thermal loads. Statistical analysis demonstrates that the SA, GA-PSO, and GA-PSO-SA…
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Artikel Jurnal
seQuRe: an Integrated Dual Digital QR and Invisible Watermark
This study introduces seQuRe, a novel approach that employs a dual-layer QR code system combined with invisible watermarking to enhance security measures in data transmission. The outer layer of the QR code facilitates general data accessibility while the inner layer, encrypted and embedded within…
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Artikel Jurnal
Cross-Domain Fake Reviews Identification Based on Deep Learning Neural Network With Rolling Collaborative Training
Identifying fake reviews in the current digital era has become an interesting study, especially in cross-domain context. This process is based on the limitations of the situation, where not all review domains have labels, and the labeling process takes a long time. In the context of machine…
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Artikel Jurnal
Image Recognition Using a Neural Network (Using Convolutional Neural Networks)
An essential decision in constructing a neural network for any application is determining the appropriate representation of the data for presentation. Advancements in training techniques, such as changes to data augmentations and optimization methods, have greatly contributed to the notable…
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Artikel Jurnal
Enhancing Privacy in Real-Time Video Streams: Techniques, Challenges, and Benchmark datasets Powered by Deep Learning
The exponential growth of video surveillance, live streaming platforms, and AI-driven analytics has created unprecedented threats to visual privacy. Traditional de-identification methods (pixelation, blurring) fail to balance privacy protection with contextual utility in dynamic environments. This…
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Artikel Jurnal
YOLOv11-LCA: YOLOv11 Enhanced with the Low-Complexity Attention Mechanisms for a Robust Waterway-Floating Trash Detection
Accurate trash detection in aquatic environments remains a significant challenge for detection models, which exhibit persistent limitations in identifying small and partially submerged objects. Additionally, a notable gap exists in methodologies for fine-tuning the detection model to optimize…
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Artikel Jurnal
Backpropagation Artificial Neural Network For Classification Arrhythmia in ECG Signals
Cardiovascular diseases (CVDs) remain the leading cause of mortality globally, accounting for approximately 17.9 million deaths annually. Among these, arrhythmias represent a significant concern due to their potential to lead to severe cardiac events. Traditional methods for detecting arrhythmias…
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Artikel Jurnal
A Performance-Based Approach to Safety Management: Mapping Safety Indicators and Targets in Multi-Approval Training Organizations
Safety Management Systems (SMS) are formally required across aviation training organizations; however, institutions holding multiple operational approvals frequently encounter difficulties in translating regulatory requirements into coherent and measurable safety performance indicators and targets…
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Artikel Jurnal
Lean-Driven Sustainable Engineering Enhanced by TRIZ: A Conceptual Approach to Waste Elimination in Manufacturing System Laboratory
Manufacturing system laboratories are essential in engineering education, however, existing laboratory-scale equipment often exhibits long cycle times, high energy consumption, poor ergonomics, and limited integration of sustainability principles. Prior studies generally address lean manufacturing…
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Artikel Jurnal
Spatio-Temporal Graph Neural Network Based on Nonlinear Time–Frequency Features for Mu-ERD Classification in Multi-Session EEG Motor Imagery
Mu rhythm event-related desynchronization (ERD) is a key indicator of motor imagery activity based on EEG signals. However, accurate classification of ERD remains challenging due to the nonlinear nature of EEG signals and inter-session variability. This study proposes a motor imagery classification…
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Artikel Jurnal
Enhancing Student Motivation in Programming Education Through N-EGM-Based Gamification: A Mobile Application Approach
Programming education continues to face persistent challenges, including high cognitive load, abstract syntax complexity, and declining intrinsic motivation among students. Although gamification has been widely adopted to address these issues, existing frameworks such as MDA and Octalysis lack…
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Artikel Jurnal
Design and Potential of a Hybrid Biogas Reactor with Solar Panels for Energy Conversion in Tropical Areas
Improperly managed cow dung can pollute the environment, causing unpleasant odors and contaminating groundwater. Therefore, a portable biogas reactor with a floating digester model was designed to process the waste into biogas energy and organic fertilizer while reducing the impact of pollution…
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Artikel Jurnal
Deep Embedded Clustering for Indonesian Protein, Fat, and Energy Availability Data
Understanding disparities in regional food availability is crucial for food security policies. Most previous studies on Indonesian food availability use conventional clustering methods. These methods operate directly on the feature space and may miss complex, non-linear relationships in nutritional…
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Artikel Jurnal
Effect of Polymer Modified Asphalt With Crumb Rubber on The AC-WC Wear Layer Against Rutting Uses Wheel Tracking Machine (WTM)
Premature rutting remains one of the most critical failure mechanisms in flexible pavements, particularly in tropical regions where high temperatures and increasing axle loads accelerates permanent deformation. Although polymer modified asphalt has been widely investigated to mitigate integration…
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Artikel Jurnal
Efficient Road Surface Classification on Low-Cost Devices Using Vehicle Vibration Data
During road traffic operations, pavement quality directly affects safety, vehicle operating costs, and pavement maintenance activities. Traditional inspection methods are often costly and time-consuming, and they cannot provide continuous data on pavement conditions. This study aims to develop an…
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Artikel Jurnal
Linking Mercury Contamination to Transport Dynamics in an Indonesian River: A Data-Driven Engineering Framework for ASGM-Impacted Watersheds
While Artisanal and Small-Scale Gold Mining (ASGM) severely contaminates watersheds with mercury (Hg), existing studies primarily diagnose pollution levels without identifying the underlying transport mechanisms or actionable engineering solutions. Addressing this gap, this study analyzes Hg…