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Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
ISSN 2598-3245 · P3M Politeknik Negeri Banjarmasin · 132 artikel di indeks
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Artikel Jurnal
K-Nearest Neighbor Algorithm for Intelligent Monitoring and Control System Integration in Renewable Energy Applications
A real-time biogas monitoring and control system was developed by integrating the K-Nearest Neighbor (KNN) algorithm into an IoT-based framework for methane pressure prediction and automated control. The system uses an ESP32 microcontroller connected to temperature, gas, and pressure sensors…
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Artikel Jurnal
A VGG16 CNN-based Method for Multiclass Lung Cancer Classification using CT Imaging
Lung cancer is the leading cause of death worldwide among all types of cancer. Early detection and accurate classification are essential to prevent disease progression and improve patient survival rates. One effective approach is the use of computer-aided diagnosis (CAD) systems based on medical…
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Artikel Jurnal
Smart Hydroponic Nutrient Monitoring and Control System using Fuzzy Logic and IoT
Hydroponic farming offers an efficient and sustainable solution for modern agriculture, although main-taining stable nutrient levels remains a key challenge. Previous systems often exhibited high overshoot and were unable to adapt to external changes or disturbances, and no existing research has…
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Artikel Jurnal
Explainable AI-Driven Convolution Neural Network for Quality Grading of Soybean Seeds
This study developed a soybean seed grading system based on Explainable Artificial Intelligence (XAI). Traditional soybean quality assessment is time-consuming, and limited research has applied explainable AI methods to the grading process. To address these issues, this study employed…
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Artikel Jurnal
IoT-MQTT Protocol-Based Water Sensor System to Monitor Citarum River Water Quality using Arduino Uno R4 Wifi
River water quality is critical for sustaining life, necessitating advanced monitoring technologies. This study presents a novel IoT-based water monitoring system using the Arduino Uno R4 WiFi and the MQTT protocol, offering significant improvements in real-time data acquisition, reliability, and…
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Artikel Jurnal
Prediction of Telkomsel 4G LTE Card Sales using The K-Nearest Neighbor Algorithm
Accurate sales prediction is a critical challenge in business decision-making, as factors such as data imbalance, outliers, and overfitting may compromise the reliability of predictive models. This study aims to develop a precise model for predicting card sales using the K-Nearest Neighbor (KNN)…
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Artikel Jurnal
Imbalanced Text Classification on Tourism Reviews using Ada-boost Naïve Bayes
Hidden paradise is a term that aptly describes the island of Madura, which offers diverse tourism potential. Through the Google Maps application, tourists can access sentiment-based information about various attractions in Madura, serving both as a reference before visiting and as evaluation…
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Artikel Jurnal
Optimization Model for Fake Account Detection on Twitter (X) Social Media using Feature Engineering and Machine Learning Approaches
Twitter (X) has become an important platform for community interaction, but this also creates serious challenges due to the proliferation of fake accounts that can harm users and undermine credibility. Previous studies have proposed detection methods but often lacked forensic analysis based on…
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Artikel Jurnal
Efficient Strategy for Distribution Transformer Replacement: A Study on Replacement Methods in Power Systems
A dependable and efficient electric power distribution system is increasingly required due to growing industrial and population demand. Many distribution transformers currently in use are outdated, which increases operating expenses and reduces efficiency. This study examines the issue of…
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Artikel Jurnal
An Intelligent Fuzzy Logic-Controlled IoT System for Efficient Hydroponic Plant Monitoring and Automation
This paper addresses the challenges of optimizing environmental conditions in hydroponic farming by integrating an Intelligent Fuzzy Logic-Controlled IoT System. The research problem lies in the inefficiency of traditional hydroponic monitoring systems, particularly in maintaining ideal conditions…
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Artikel Jurnal
Design and Performance Evaluation of A Portable Low-Head Pico-Hydro System using A Rewound Axial Generator for Rural Energy
This study evaluates the performance of a pico-hydro system installed on a river with low head and discharge. The system was assessed under no-load and varying load conditions (25–100%). The results indicate that the generator performs according to the initial design, despite some fluctuations in…
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Artikel Jurnal
Integration of PM1200 and IoT for Electrical Energy Monitoring with Web-Based Map Visualization
This study aims to integrate the PM1200 device with Internet of Things (IoT) technology using the Modbus protocol to enable real-time monitoring of electrical energy. The current challenge lies in the limited flexibility of energy monitoring, which is typically restricted to local access and lacks…
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Artikel Jurnal
No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method
No-reference Video Quality Assessment (VQA) presents a critical challenge in digital multimedia. This study explores video quality measurement using the DOVER framework combined with a transfer learning method. While existing approaches often rely on end-to-end fine-tuning that requires substantial…
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Artikel Jurnal
Deep Learning Approach for Pneumonia Prediction from X-Rays using A Pretrained Densenet Model
Pneumonia remains a major global health concern, particularly affecting young children and older adults, contributing to significant morbidity and mortality. Traditional diagnostic methods using chest CT scans are time-consuming and prone to errors due to the reliance on manual interpretation. This…
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Artikel Jurnal
Classification of Diabetes Mellitus using Decision Trees
Diabetes Mellitus is a global health concern, with its prevalence and incidence rising sharply world-wide, including in Indonesia. Several factors contribute to the onset of diabetes mellitus, such as heredity, age, weight, and blood pressure. Managing blood sugar levels, maintaining a balanced…
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Artikel Jurnal
Wound Depth Measurement System in Forensic Cases using Image Processing and Machine Learning
Accurate evaluation of wound depth is crucial in forensic investigations, as it significantly affects case assessments and outcomes. This study introduces a method for classifying wound depth using a Support Vector Machine (SVM) model and compares its performance with Decision Tree and Logistic…
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Artikel Jurnal
Multi-Label Classification for Opinion Mining in The Presidential Election using TF-IDF with NB And SVM
Public opinion plays a crucial role in presidential elections, shaping voter choices and influencing outcomes. Most sentiment analysis studies focus on binary (positive vs. negative) or multiclass (positive, negative, neutral) classification, which limits their ability to capture opinions that…
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Artikel Jurnal
Fine-Grained Plant Classification using Vision Transformers with Optimized MLP Heads
Automatic plant species classification is crucial for advancing education and biodiversity conserva-tion. Deep learning models, such as Vision Transformer (ViT), have demonstrated strong performance in plant species classification tasks. However, limited research explored the impact of…
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Artikel Jurnal
Application of Natural Language Processing and LSTM in A Travel Chatbot for Medan City
The tourism sector plays a vital role in economic growth and regional development. Medan, a major city in North Sumatra, offers rich religious, historical, and cultural attractions. However, fragmented and inconsistent information presents challenges for both tourists and destination managers…
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Artikel Jurnal
The Synergy of Blockchain and Cybersecurity: Building Trust in Digital Environments
The rapid expansion of digital ecosystems has intensified concerns about data security, privacy, and trust. Blockchain technology, characterized by its decentralized, immutable, and transparent nature, offers a transformative approach to strengthening cybersecurity. This paper examines the synergy…