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CommIT Journal
Scopus
ISSN 1979-2484 · Bina Nusantara University · 373 artikel di indeks
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Artikel Jurnal
Power-Efficient Surveillance Camera Using Sleep Mode and YOLOv3 Model-Based Edge Computing
Surveillance cameras play a vital role in a wide range of monitoring applications, particularly in ensuring real-time security and observation. However, conventional surveillance systems often face limitations in energy efficiency, especially when deployed in remote locations or powered by battery…
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Artikel Jurnal
Chatbot Quality and Its Impact on User Satisfaction and Continuance Usage Intention in the Indonesian Banking Industry
The research aims to investigate the role of chatbot quality in influencing user satisfaction and continuance usage intention within the Indonesian banking industry. The research is among the first to apply Expectation Confirmation Theory (ECT) to chatbot usage in the Indonesian banking industry…
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Artikel Jurnal
Magnetic Resonance Imaging (MRI)-Based Breast Cancer Detection Using Graph Convolutional Network (GCN) with Advanced Texture Feature Extraction
Breast cancer is the leading cause of death for women worldwide, and it is predicted to be an important factor in public health. Therefore, early and accurate detection is crucial to enhancing survival rates. Recently, Magnetic Resonance Imaging (MRI) has become a superior option to biopsies due to…
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Artikel Jurnal
Developing Embedded Systems for E-Bike Rentals with Logistic Map-Based Token Generation
The research presents a novel electric bike rental system that operates efficiently without an internet connection. The system integrates a logistic map algorithm into an embedded microcontroller and a web-based rental information system. The logistic map has pseudo-random code generation…
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Artikel Jurnal
An Adaptive DTN Routing Protocol Using a Q-Learning Framework for Archipelagic Emergency Networks
Natural disasters in archipelagic regions often disrupt communication networks, particularly in geographically isolated islands where terrestrial infrastructure is limited and highly vulnerable. Hence, adaptive, infrastructure-independent solutions are required to maintain connectivity during…
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Artikel Jurnal
CNN-LSTM Architecture for Multi-Task Sentiment and Emotion Classification on Large-Scale Indonesian TikTok Application Reviews
Sentiment and emotion analysis of mobile application reviews has attracted significant attention as a means to understand users’ perceptions and experiences. The research proposes a novel Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model for multi-task sentiment and emotion…
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Artikel Jurnal
Sequran: Composite Scoring and Reranking Techniques for Refining Quran Search Engine Results
Information Retrieval (IR) systems are crucial in the development of accurate and relevant search engines, especially in domain-specific applications such as Sequran. While fine-tuning is a common optimization approach, this method often requires significant computational resources, diverse…
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Artikel Jurnal
Benchmarking Deep Convolutional Neural Networks for Brain Tumor Detection Using Magnetic Resonance Imaging Data
Brain tumors are associated with high mortality and severe neurological effects, making accurate and timely diagnosis essential. However, manual interpretation of Magnetic Resonance Imaging (MRI) remains subjective and time-consuming. Deep learning, particularly Convolutional Neural Networks…
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Artikel Jurnal
Statistical Analysis of Normalization Impact on GLCM-Based Coral Classification
To the best of the authors’ knowledge, this research provides part of the first statistically validated and comprehensive comparison of multiple normalization methods for GLCM-based coral image classification across different classical classifiers using ANOVA and Tukey’s HSD tests. The process…
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Artikel Jurnal
Dynamic Sign Language Recognition: A Hybrid Approach Combining MediaPipe and LSTM
The inability of the general population to understand sign language creates serious communication barriers for hearing-impaired individuals in critical situations such as healthcare emergencies, educational settings, and workplace environments. Addressing this gap requires effective and accurate…
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Artikel Jurnal
Vision Transformer for Cataract Detection in Anterior Eye Images: Achieving Optimal Performance with Limited Data
Convolutional Neural Networks (CNNs) continue to face several challenges in cataract classification using image data, particularly due to limitations in dataset size and variability in color, shape, and position. These constraints arise because CNNs primarily process local features within each…
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Artikel Jurnal
Improving Ranking Quality via Consequent Set Quartile Partitioning in Rule-Based Recommendation
Accurate ranking remains challenging in session-based recommender systems, particularly in dynamic domains such as e-commerce and digital news. Neural models can achieve high accuracy but require substantial computational resources, while Association Rule (AR)-based methods are computationally…
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Artikel Jurnal
Design and Performance Analysis of a Point-to-Point LoRa-Based Wearable Health Monitoring System in Line-of-Sight (LOS) and Indoor Environments
This research presents the design and performance evaluation of a Long Range (LoRa)-based wearable health monitoring system for real-time transmission of physiological data, namely heart rate, blood oxygen saturation (SpO2), and body temperature. The system integrates a MAX30105 sensor with an…
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Artikel Jurnal
Bi-Directional Isometric GRU for Urban Travel Time Prediction Using Deep Learning on Synthetic Global Positioning System Trajectories
Accurate short-term travel time prediction is crucial for optimizing urban transportation systems and enabling responsive Intelligent Transportation Systems (ITS). The research introduces a novel Deep Learning (DL) architecture, the Bi-Directional Isometric Gated Recurrent Unit (BDIGRU), to enhance…
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Artikel Jurnal
Combining Feature Embedding Based on the BERT Architecture and Random Forest Algorithm to Identify the Handling Section and Risk Priority Level in an ISP Company in Indonesia
Revision Presently, Internet usage in society has grown considerably. It presents significant opportunities for companies to develop business related to internet service providers (ISPs). In Indonesia, both domestic and foreign ISPs are competing. To survive and remain popular with Indonesian…