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JOIN: Jurnal Online Informatika
Scopus
ISSN 2528-1682 · Department of Informatics, UIN Sunan Gunung Djati Bandung · 260 artikel di indeks
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Artikel Jurnal
Vehicle Routing Problem: A Performance Comparison of Hybrid Evolutionary Algorithm with Local Search Strategies
The Vehicle Routing Problem (VRP), one of the most challenging problems in logistics and transport, has been an area of optimization solutions to minimize costs and optimize the operational process. This study examines a hybrid of metaheuristic algorithms that are combinations of the Genetic…
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Comparative Performance of Fine-Tuned IndoBERT BASE and LARGE Variants for Emotion Detection in Indonesian Tweets
In the digital era, where emotions play a crucial role in shaping human behavior, communication, and decision-making, their expressions are often conveyed through short and informal texts on platforms such as Twitter. This research aims to improve the accuracy of emotion detection in Indonesian…
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Optimizing Hypertension Prediction from Electronic Health Records via Hybrid ANN–LSTM with Ant Colony and Bayesian Optimization
Hypertension is a chronic medical condition that, if undetected early, can result in life-threatening complications such as cardiovascular disease and stroke. Despite numerous studies on predictive modeling for hypertension, existing approaches often suffer from limited accuracy due to suboptimal…
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Convolutional Neural Networks for Measuring Service Satisfaction of Hajj Pilgrims through Facial Expression Analysis
Facial expressions serve as important non-verbal indicators of human emotions and can be leveraged to assess satisfaction levels in service environments. In the context of Hajj and Umrah, where verbal feedback may be limited due to language barriers or cultural factors, facial expression…
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Using Readability Metrics in Estimating the Readability of REpresentational State Transfer State Transfer Uniform Resource Identifiers Schema
Uniform Resource Identifiers (URIs) may have a direct impact on the understanding of REpresentational State Transfer State Transfer (RESTful) functionality, and thus, on the discovery of final RESTful product. RESTful Web Services (WS)/Application Programming Interfaces (APIs) are designed to…
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An Improved Offline Text-independent Chinese Writer Identification Scheme based on Two-tier Image Retrieval Mechanism
Research in writer identification has received significant interest in recent years due to its forensic applicability. Undoubtedly, many achievements have been carried out on the traditional method which is without retrieval and only focused on inconsistent and lead ambiguous identification…
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Comparative Performance Analysis of Several Python Libraries Utilizing the Least Significant Bit Method
Steganography serves as a critical information security technique for concealing data within digital media. While the spatial-domain Least Significant Bit (LSB) method is widely adopted due to its embedding effectiveness and straightforward implementation, this study addresses a crucial gap: the…
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A Linear Sequential Model for Cloud-Based ECM: Comparative Analysis with On-Premises ECM
The rapid growth of digital information has made effective enterprise content management (ECM) essential for modern organizations. While traditional on-premises ECM systems have long supported information management needs, the shift toward cloud-based ECM offers enhanced scalability, accessibility…
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Maleo-Short: An "In-the-Wild" Indonesian Dataset for Speaker Diarization
Speaker diarization (SD), the task of partitioning an audio stream into speaker-homogenous segments, is fundamental for analyzing multi-speaker recordings. Its application to “in-the-wild” data, such as content from the YouTube platform, poses significant challenges, including overlapped speech…
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Defense Policy Strategy based on Network Centric Warfare (NCW) toward Asymmetric Threats: Case study from an Indonesian Perspective
Implementation of NCW as a core element of defense policy requires a comprehensive strategic framework. Without these basic elements, NCW may remain underutilized or fail to deliver the desired results in the face of asymmetric threats. Therefore, it is important to explore a Network Centric…
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Early Fusion of Visual and Ingredient Representations for Multimodal Food Classification
Identifying the most appropriate food dish based on available kitchen ingredients remains a practical yet challenging task in everyday life. To address this, this study specifically aims to develop an intelligent food classification system using a multimodal approach. We propose a multimodal food…
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Denial of Service (DOS) Attack Detection on MQTT Protocol Using the Random Forest Method
The Message Queuing Telemetry Transport (MQTT) protocol serves as a critical lightweight communication infrastructure for Internet of Things (IoT) systems. Still, it remains highly vulnerable to Denial of Service (DoS) attacks that compromise network availability and security. Despite extensive IoT…
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CPSO-LSTM: Chaotic Particle Swarm Optimization improved LSTM Hyperparameters for Air Pollution Prediction
Accurate air pollution predictions are crucial for public health and environmental management, but achieving high prediction accuracy remains a challenge due to the complexity of temporal patterns in pollution data. This study aims to improve performance of Long Short-Term Memory (LSTM) by…
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Optimizing Stacking Ensemble Models for Customer Churn Prediction in the Telecommunications Industry
One of the biggest challenges in the telecommunications industry is predicting churn, which is the condition when a customer unsubscribes and switches to another service provider. In an era of competitive market conditions, retaining customers is much more efficient than acquiring new customers…
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Leveraging Blockchain for Real‑Time Monitoring and Optimization of Blood Supply Networks
Blood is one of the most vital fluids in the human body. Many existing blood donation systems lack sufficient time, reliable data, effective tracking, data integrity, visibility, monitoring, anonymity, and privacy. Centralized systems are also prone to failures due to their dependence on fixed…
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Comparative Analysis of Pre-Trained Deep Learning Models for Classifying Tropical Fungal Skin Infections
Tropical fungal skin infections, including Tinea corporis, Tinea versicolor, Tinea pedis, and Tinea nigra, are common health problems in tropical countries such as Indonesia. Although not life-threatening, these diseases can cause discomfort, reduce self-confidence, and interfere with daily…
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Evaluating RAG Performance on Small Language Models for Low-Resource Devices through Chunking and Retrieval Methods
Retrieval-Augmented Generation (RAG) combines generative capabilities of language models with external document retrieval to answer questions grounded in reference texts. However, deploying RAG on low-resource devices like Android smartphones is challenging because SLMs have limited computational…
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Analysis of Facial Emotion Recognition with Various Techniques
Facial emotion recognition (FER) is a prominent investigation area in computer vision and affective computing. It involves the automatic detection and analysis of human emotions based on facial expressions. The current work offers a broad analysis of the present state-of-the-art approaches…
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Improving Imbalanced Data Handling in Intrusion Detection Systems using SMOTE with an Extended Kalman Filter
Class imbalance is a major hurdle when building intrusion detection systems (IDS). Most network traffic is normal, while certain types of attacks are very rare. This uneven distribution makes it hard for machine learning models to perform well—they often focus on the common traffic and miss the…
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Comparison of MobilenetV2 and NASNetMobile for Lavender Flower Analysis using Convolutional Neural Network
The identification of lavender flower varieties is a critical challenge in botany and agriculture, primarily due to the high morphological similarity among different varieties and the influence of environmental conditions on their appearance. Traditional methods of identifying lavender varieties…