423 hasil
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Edumatic
SINTA 3
ISSN 2549-7472 · Universitas Hamzanwadi · 423 artikel di indeks
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Artikel Jurnal
Integrated Behavioral Perceptual Evaluation for Comparative E-Commerce Web Usability: Evidence from Shopee and Tokopedia
The growth of e-commerce has intensified competition among digital platforms, making usability a crucial factor in user engagement and convenience. However, many usability studies rely on single-method evaluation approaches, rarely conduct cross-platform comparisons, and seldom examine the…
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Artikel Jurnal
An Efficient Two Stage Detection Segmentation Framework for Automated Road Crack Assessment
Road cracks significantly degrade infrastructure quality and pose a threat to traffic safety. To minimize manual inspection inefficiencies, this study investigates a segmentation model integrating MobileNetV3-Small as a backbone for the U-Net architecture to reduce processing time. The performance…
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Artikel Jurnal
Algorithm-Sensitive Feature Weighting using Mutual Information and ReliefF for Heart Disease Classification
Heart disease remains a critical global health issue requiring reliable early prediction for clinical decision-making. This study evaluates the effect of feature selection and feature weighting on the performance of machine learning models with different learning mechanisms, namely K-Nearest…
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Artikel Jurnal
Portable IoT Traffic Light System with Deterministic Cycle Recalculation and Real-Time Remote Configuration
Traffic control in temporary or emergency situations often requires portable traffic signal systems. However, many existing traffic light systems are designed as fixed infrastructure and limiting portability. This study proposes a portable IoT-based traffic light system with real-time remote…
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Artikel Jurnal
Security Maturity Assessment of Indonesian Android Mobile Banking Apps using MobSF and OWASP
The rapid expansion of mobile banking in emerging economies has increased exposure to client-side security risks, while MASVS-based security maturity benchmarking of conventional banking applications remains underrepresented in the literature. This study conducts a standard-based comparative…
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Artikel Jurnal
Behaviorally Interpretable Transactional Features for Customer Segmentation Using K-Means in Grocery Retail
Customer segmentation based on transactional data is widely used to understand purchasing behavior in retail. However, many existing studies tend to emphasize algorithm performance, with limited discussion on how transactional variables represent actual customer behavior. This study adopts a…
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Artikel Jurnal
Beyond Predictive Accuracy: Enhancing Parameter Stability in Multicollinear Time Series Forecasting via Regularisation
Multicollinearity in feature-based time series regression arises as a structural consequence of lagged and rolling feature construction. However, existing studies on Ridge and ElasticNet regularization adopt an accuracy-driven evaluation paradigm, with limited attention to parameter stability…
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Artikel Jurnal
Machine Learning Approaches for Export Trend Classification: Evidence from Leading Commodities in Indonesia
Sorong City holds a strategic position in the export economy of Papua Barat Daya; however, its export performance remains volatile due to global price fluctuations, logistical constraints, and shifts in international demand. To address these challenges, this study applies machine learning-based…
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Artikel Jurnal
Citizen-Centric Decision Support Systems for Housing Assistance: A Low-Barrier E-Government Approach
Digital public services often require account-based authentication that can create access barriers for citizens with limited digital literacy. In housing assistance services, such barriers may reduce the accessibility of systems intended to support vulnerable groups. This study aimed to develop and…
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Mobile Learning Design and Its Role in Fostering Critical Thinking in Informatics Education
The use of mobile learning in vocational education continues to grow; however, its implementation often emphasizes technological development without sufficient attention to instructional organization and learning evaluation. This study aims to develop a Kodular-based mobile learning application and…
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Artikel Jurnal
Hybrid Human AI SDLC for Rapid SaaS Development: Evidence from a 60 Days Case Study
There is a vacuum in the risk of architectural changes in critical systems because macro-architectural governance in AI-based software development is frequently ignored in current scholarly debate. The purpose of this study is to assess how well the Visualize, Integrate, Build, Execute (VIBE)…
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Artikel Jurnal
Gamified Mobile Learning for Teaching the Prophet’s Mandatory Traits in Elementary Education
The integration of digital media in Islamic elementary education remains limited, particularly in studies that integrate Islamic character education with game-based learning and provide quantitative evidence of learning effectiveness. This study develops and evaluates the usability of an…
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Demand-Based Product Classification Using K-Means with Intermittency Metrics
Inventory management at multi-SKU distribution companies becomes complex when most products have unstable and intermittent demand patterns. At PT JJA, procurement is still reactive without the use of historical patterns, while the previous approach generally relied on aggregate indicators such as…
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Artikel Jurnal
Mitigating Class Imbalance in Indonesian Sarcasm Detection: A Cross-Platform Transformer Study
Sarcasm detection in Indonesian social media remains challenging due to implicit pragmatic expressions, severe class imbalance, and strong domain variation across platforms. Unlike prior Indonesian sarcasm studies that predominantly focus on in-domain accuracy using conventional balancing methods…
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Mutual Information-Driven Feature Selection for Efficient DDoS Detection Using Modern Boosting Ensembles
Distributed Denial of Service (DDoS) attacks generate high-dimensional network traffic that poses significant challenges for machine learning-based detection systems in terms of predictive accuracy and computational efficiency. This study presents a systematic evaluation of Mutual Information (MI)…
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Artikel Jurnal
Forward Chaining Expert System for Optimizing Marketing Strategies in Social Commerce Platforms
The complexity of digital performance indicators in social commerce environments poses significant challenges for small and medium enterprises (SMEs) in formulating coherent and actionable marketing strategies. This study develops and evaluates a forward chaining based expert system to support…
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Feature Interaction and Performance Analysis of RankSum-Based Extractive Summarization in Indonesian Scientific Articles
The extractive summarization of Indonesian scientific articles is hindered by a domain mismatch where established methodologies rely on news-corpus assumptions, whereas Indonesian scientific discourse follows rigid, IMRaD-driven structural and lexical patterns. This study aims to systematically…
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Utilitarian vs Human-Centered AI Acceptance: Explaining Students’ Adoption of ChatGPT in Higher Education
The growing use of generative artificial intelligence (AI) in higher education raises questions about how students assess and adopt these systems, particularly whether traditional utilitarian models are sufficient to explain their use. This study compares the Technology Acceptance Model (TAM) and…
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Artikel Jurnal
Advancing Sustainability Education through Narrative Digital Media: A Structural Model of Student Acceptance
While teaching the 17 Sustainable Development Goals (SDGs) is important, many schools struggle to keep students interested, often leading to boredom or confusion. This research evaluates a 2D visual novel, Liora Island, for enhancing engagement and reducing cognitive complexity when teaching the…
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Artikel Jurnal
Deep Learning for PM2.5 Prediction under Zero-Inflated Tropical Rainfall: RNN vs GRU
Air quality forecasting in maritime tropical regions is challenged by zero-inflated rainfall regimes, where prolonged dry periods are intermittently disrupted by extreme precipitation, generating highly non-linear PM₂.₅ dynamics and limiting the effectiveness of conventional predictive models. This…