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Journal of Innovation Information Technology and Application
ISSN 2716-0858 · Pusat Penelitian dan Pengabdian Masyarakat (P3M), Politeknik Negeri Cilacap · 167 artikel di indeks
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Artikel Jurnal
Shortest Path Calculation for Bandung Tourist Destinations Using Ant Colony Optimization
Efficient route planning is essential in modern tourism, particularly for multi-destination travel in complex urban environments. This study proposes a tourism route optimization model based on Ant Colony Optimization (ACO) integrated with real-world geographic distance data. The problem is modeled…
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Artikel Jurnal
Robust DeBERTa-v3 Framework for Aspect-Based Sentiment Analysis with Extreme Class Imbalance
Aspect-Based Sentiment Analysis (ABSA) often operates under extreme class imbalance, causing Transformer-based models to favour majority classes while failing to detect minority sentiments disproportionately. This study proposes RoABSA, a robust DeBERTa-v3–based framework that integrates Hybrid…
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Comparison of Multiple Linear Regression, Random Forest, and Decision Tree Methods for House Price Prediction in West Nusa Tenggara
This study aims to develop an accurate housing price prediction model for West Nusa Tenggara (NTB) by comparing three machine learning approaches: Multiple Linear Regression (MLR), Random Forest (RF), and Decision Tree (DT). The research adopts a quantitative experimental design consisting of data…
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Construction of an Indonesian Language Corpus for the Evaluation of the JMO Application Using UMUX-Lite Based on Google Play Store User Reviews
The JMO application is a key digital service platform developed by the Social Security Administration for Employment. This public legal entity provides social security protection for all workers in Indonesia, offering them online access. It offers a comprehensive suite of services, including…
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Artikel Jurnal
Dual-Domain Transformer-Based Video Deepfake Detection
Deepfake-enabled fraud caused nearly US$900 million in global losses during 2025, yet existing detection methods struggle with high-quality synthetic videos. Traditional CNN-based approaches fail to capture subtle global manipulations, while transformer-based models focus predominantly on spatial…
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Artikel Jurnal
Optimized Skill Mastery Prediction for Adaptive Test Decision-Making
Adaptive testing systems require accurate and timely estimation of students' skill mastery levels to support decision-making in question selection and assessment flow determination. However, uncertainty in students' knowledge levels and variations in learning behavior often limit the performance of…
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Artikel Jurnal
A Hybrid Ensemble Learning Framework for Forecasting Renewable Energy Stocks: Evidence from the Indonesia Stock Exchange
Forecasting stock prices in the renewable energy sector remains a challenging task due to high market volatility, regulatory dynamics, and rapidly changing investor sentiment. Accurate prediction models are therefore essential to support informed investment decisions and reduce financial…
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Artikel Jurnal
Edge Detection and Post-Edge Filtering for Crescent Detection Using Circular Hough Transform
Crescent detection based on digital images faces major challenges due to low contrast, atmospheric noise, and the very thin curved structure of the crescent moon. This study aims to evaluate the influence of edge detection and post-edge filtering methods on the performance of crescent moon…
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Artikel Jurnal
User-Centered Feature Prioritization in Stroke Self-Care Applications: A Kano Model Study
Stroke survivors often require ongoing support for long-term recovery, yet many face limited access to healthcare, particularly in developing countries like Indonesia. Mobile health technology enables supporting self-care. However, their usefulness and effectiveness depend heavily on their…
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Impact of Stopword Variation on Qur'anic Text Classification using Support Vector Machine and Backpropagation
This study aims to analyze the impact of varying stopword sets on the performance of Qur'anic text classification models in Indonesian translations, using two machine learning algorithms: Support Vector Machine (SVM) and Backpropagation Neural Network (BPNN). The research involved six stopword…
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Artikel Jurnal
Demystifying Political Hate Speech Detection: An Explainable Artificial Intelligence Audit of Transformer and Linear Models
The rise of political hate speech on social media calls for detection systems that are not only accurate but also transparent to avoid moderation bias. Although Transformer models achieve high performance, their “black box” nature creates the risk of a “false sense of security” in content…
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Artikel Jurnal
Deep Learning Approach for Human Tracking by Utilizing Convolutional Neural Network and Long Short-Term Memory
The world of digitalization is evolving at a fast pace, and automation growth in large sectors of industry, as well as in all aspects of life, creates a necessity for a robust and dependable product in tracking objects. Any pre-recorded or live-stream video can benefit from the ability to track an…
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Artikel Jurnal
E-SAFE: EfficientNet with Squeeze-and-Attention Feature Enhancement for Deepfake Detection
Deepfakes have become a serious threat to digital security, individual privacy, and the spread of disinformation globally. The main challenge in detecting manipulated media lies in balancing accuracy, model complexity, and generalization across varying levels of compression. This study proposes the…
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Artikel Jurnal
A Multimodal Deep Learning Framework for Herbal Plant Classification with Large Language Model Integration
Accurate identification of herbal plants remains challenging due to high species diversity and the need for specialized botanical knowledge. This study proposes a multimodal artificial intelligence framework that integrates deep learning-based image classification with a large language model to…
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Artikel Jurnal
Hybrid Genetic Algorithm and XGBoost Model for Optimizing Sharia Compliant Stock Portfolios in the Indonesian Capital Market
This study proposes a hybrid portfolio optimization model that integrates Genetic Algorithm (GA) and Extreme Gradient Boosting (XGBoost) to optimize Sharia-compliant stock portfolios in the Indonesian capital market. The model leverages the predictive capability of XGBoost and the adaptive…
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Artikel Jurnal
3D Visualization of Post-Disaster Priorities Using CILOS–MARCOS for Decision Support and Mitigation
One of the main challenges in disaster mitigation is delivering information that various stakeholders, including the public, policymakers, and emergency response teams, can easily understand. Visualization of disaster damage serves as an intuitive and informative tool to support better…
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Artikel Jurnal
Enhancing The Accuracy of Academic Document Plagiarism Detection Through Big Data and Similarity Measure Approaches
This study develops a Big Data-based plagiarism detection system using Similarity Measures to enhance objectivity and efficiency in evaluating student assignments. Employing a Research and Development (R&D) approach, the system processes .pdf and .docx documents through text preprocessing and…
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Artikel Jurnal
Multiclass Waste Image Classification Based on Convolutional Neural Network and Transfer Learning
The escalating waste generation presents significant challenges for waste management systems, driving the need for innovative and efficient waste separation technologies. Efficient waste management requires the accurate separation of organic and inorganic waste, which automation can significantly…
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Artikel Jurnal
Development of Prototype IoT-Based Control and Monitoring System for Pakcoy
This research aims to design and develop an Internet of Things (IoT)-based automatic control and monitoring system for hydroponic plants. This system measures, displays, and regulates nutrient parameters, pH, and water volume in real-time to improve water use efficiency, nutrient stability, and…
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Artikel Jurnal
A Hybrid K-Means-Random Forest Approach for Optimizing CO Air Pollution Prediction
Air quality is becoming an increasingly worrying global issue due to increasing air pollution. The increase in air pollution in the environment encourages the presence of innovative solutions in terms of countermeasures and prevention. This study compares regression algorithms (Random Forest…