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Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
ISSN 2089-8673 · Universitas Pendidikan Ganesha · 457 artikel di indeks
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Artikel Jurnal
Comparison of the SMOTE Method on Naive Bayes and K-Nearest Neighbor for Sentiment Analysis of the MyPertamina Application
MyPertamina is a digital application developed by PT Pertamina as a means of non-cash payment and a verification tool in the distribution of fuel oil, as well as offering loyalty programs in the form of points, prizes, and electronic coupons to its users. The application has a rating of 3.3 on the…
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Artikel Jurnal
AI-Driven Adaptive Learning to Enhance Digital Literacy Integrated with Mental Health Support of Teen Learners
The rapid advancement of digital technology has significantly transformed education worldwide, including in Indonesia. Artificial intelligence (AI) is increasingly used to create personalized, adaptive, and interactive learning experiences. Despite high exposure to technology, many high school and…
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Artikel Jurnal
Understanding User Continuance Intention Toward AI-Driven Social Media Platforms: The Mediating Role of Attitude and Satisfaction
Artificial Intelligence (AI) is influencing user engagement, interactions, and perceptions on social media. The purpose of this study is to understand the user’s purpose, with the aim of determining which of the various factors linked to the user’s intention of continuing to use AI social media…
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Artikel Jurnal
Development of Digital Learning Media in Informatics Vocational Education in Facing the Industrial Revolution 4.0 (2003–2023)
The large number of digital learning media developed made researchers conduct this research. The objects of the study is to determine the extent of research trends on digital learning media in vocational schools, and the types of digital learning media that are most widely used. This study used the…
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Artikel Jurnal
A Hybrid Salp Swarm Optimization and Behavioral Nudge Framework for Optimizing Software Developer Task Allocation
Effective task allocation is critical in Agile software development, yet most optimization-based approaches treat it as a purely technical scheduling problem and disregard behavioral factors such as motivation, fairness, and engagement. This study proposes a Hybrid Salp Swarm…
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Artikel Jurnal
Multi-Class Classification and Segmentation on Kvasir Endoscopic Images Using Deep Learning Methods
This study evaluates the use of deep learning methods for multi-class classification and polyp segmentation on Kvasir endoscopic images. A dual-model approach was employed, where EfficientNet handles multi-class classification and U-Net handles polyp segmentation, each trained and evaluated…
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Artikel Jurnal
Real-Time Deep Learning and OCR for Medication Recognition in Visually Impaired Users: A Systematic Literature Review
Medication misidentification remains a safety risk for visually impaired and low-vision users who manage medicines independently. This systematic literature review synthesizes eligible studies on real-time medication recognition systems on real-time medication recognition systems that combine deep…
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Artikel Jurnal
An Integration Framework of Google Earth Engine as a Cloud Processing Engine in a Web-GIS Architecture for Flood Risk Analysis
Flooding is a significant hydrometeorological hazard in Southeast Asia, causing severe social, economic, and environmental impacts. Effective flood risk management is hindered by the lack of timely and accurate information, especially in areas such as Nakhon Pathom, Thailand, where seasonal floods…
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Artikel Jurnal
A Scholarship Award Recommendation System by Integrating Interpolation and Profile Matching Methods
Scholarships are financial aid provided to students to support the continuity of their studies. Universitas Pendidikan Nasional (UNDIKNAS) offers various scholarship programs, both from internal sources and external institutions, with limited quotas. However, the selection process, which has not…
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Artikel Jurnal
Optimizing V2X Intersection Safety: A Hybrid KF-LSTM Framework for Intelligent Collision Detection
This position paper argues that current Vehicle-to-Everything (V2X) safety strategies have reached a plateau due to their reliance on rigid, single-prediction models that fail to account for the heterogeneous movement characteristics of road users at intersections. A position paper, as recognized…
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Artikel Jurnal
Static Sign Language Classification Using RGB, Skeleton Image, and Fusion Representations: A Cross-Dataset Evaluation
This study investigates static sign language classification by examining three image-based input representations, namely RGB images, skeleton images, and RGB+skeleton fusion, using two datasets with different visual characteristics. The first dataset reflects a relatively controlled acquisition…
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Artikel Jurnal
Forecasting of BBNI Stock Prices under Middle East Geopolitical Uncertainty Using Multivariate Time Series: A Comparative Study
Global geopolitical uncertainties, such as the Middle East crisis, inherently trigger high volatility and systemic risks in capital markets, potentially threatening the stability of banking sector stocks. This study aims to analyze the structural shifts in trends and stock price volatility of PT…
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Artikel Jurnal
AI-Based IPTV Monitoring System for Optimizing Hospitality Entertainment Services: A Case Study of Radisson Blu Uluwatu Bali
This study proposes an intelligent IPTV monitoring system aimed at enhancing service reliability and operational performance in hospitality environments. The system integrates multicast IPTV monitoring and Chromecast tracking with the Random Forest algorithm to identify, classify, and handle…
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Artikel Jurnal
Machine Learning-Based Mental Health Classification Using Physiological and Physical Activity Data from Wearable Sensors
Mental health profoundly impacts individuals’ quality of life, productivity, and holistic well-being. The early identification of mental health disorders remains problematic, owing largely to the dependence on subjective evaluation methods. This study addresses these limitations by establishing a…
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Artikel Jurnal
Mental Workload Evaluation in Adaptive Boss Battle Gamification for PHP Programming Education: A Two-Phase NASA-TLX Analysis
Programming education, particularly server-side PHP, imposes high cognitive demands through complex syntax and abstract logic, while conventional instruction often fails to sustain engagement, motivating gamification as an alternative. This study evaluates student mental workload in CodeBossArena…
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Artikel Jurnal
Energy-Efficient APTEEN LoRa Wireless Sensor Network for Soil Moisture Monitoring in Precision Agriculture
Precision agriculture requires energy efficient wireless sensor networks (WSNs) that operate reliably over long distances in harsh outdoor environments. This paper presents a field implementation and experimental evaluation of the APTEEN routing protocol on a LoRa RFM95W WSN for soil moisture…
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Artikel Jurnal
Analysis of the Effectiveness and Efficiency of Cruise Ship Crew Visa Processing Using Machine Learning and Process Mining
The visa processing workflow for cruise ship crews frequently encounters delays caused by the high volume of applications and the limited availability of embassy appointment quotas, where estimation processes are still primarily conducted manually. This study aims to analyze the visa processing…
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Artikel Jurnal
YOLOv8-Based Defect Inspection of Can Packaging Using Multi-View Frame Fusion in Manufacturing Systems
Packaging quality is an important factor in ensuring product quality and safety, particularly for can packaging that is widely used in food and beverage industry. During the production process, defects such as dents, scratches, and label damage may occur on both the inner and outer surfaces of…
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Artikel Jurnal
Multi Coordinate Dekadal Rainfall Prediction in South Sumatera Using Long Short-Term Memory
An accurate rainfall prediction is essential to help mitigate natural disasters that may disrupt human activity. Diversity of the Indonesian climate makes it harder to predict rainfall with high accuracy, and this situation also occurs in South Sumatera. Therefore, this research aims to assess Long…
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Artikel Jurnal
Biomedical Image Processing for Enhanced Classification of Medicinal Plants Using Voting Ensemble
Indonesia harbors extensive biodiversity, including many medicinal plants used in health. Accurate and scalable identification remains challenging because of high intra class variation, strong visual similarity among species, and variable capture conditions in the field. This study evaluates three…