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LargeLanguage Model-Based Extraction of Logic Rules from Technical Standards for Automatic Compliance Checking
n this research, we design logic rules as a representation of technical standards documentsrelated to ship design,which will be used in automatic compliance checking. We present a novel design of logic rulesbased on a general pattern of technical…
Sentiment Analysis of ChatGPTon Indonesian Textusing Hybrid CNN and Bi-LSTM
This study explores sentiment analysis on Indonesian text using a hybrid deep learning approach that combines Convolutional Neural Networks (CNN) and Bidirectional Long Short-Term Memory (Bi-LSTM). Due to the complex linguistic structure of the…
Measuring Factors of Trust in the Use of E-Government: A Multi-Factor Analysis ofthe E-Governmentin Indonesia
Research related to trust has been widely conducted, but few studies have comprehensively explored the factors influencing trust, encompassing both technical and non-technical aspects, particularly in the context of the public sector. This gap serves…
Customer Satisfaction Evaluation in Online Food Delivery Services: A Systematic Literature Review
The rapid growth of online food delivery services has heightened the need for effective customer satisfaction measurement. This systematicliterature review examines 476 papers, selecting 15 key studies to identify prevailing evaluation approaches.…
Deep learning with Bayesian Hyperparameter Optimization for Precise Electrocardiogram Signals Delineation
Electrocardiography (ECG)serves as an essential risk-stratification tool to observe further treatment for cardiac abnormalities. The cardiac abnormalities are indicated by the intervals and amplitude locations in the ECG…
Word2Vec Approaches in Classifying Schizophrenia Through Speech Pattern
Schizophrenia is a chronic brain disorder characterized by symptoms such as delusions, hallucinations, and disorganized speech, posing significant challenges for accurate diagnosis. This research investigates an innovative …
Multi-Process Data Mining with Clustering and Support Vector Machine for Corporate Recruitment
Having an efficient and accurate recruitment process is very important for a company to attract candidates with professionalism, a high level of loyalty, and motivation. However, the current selection method often faces problems due to…
Detecting Alzheimer'sBasedon MRI Medical Imagesby Using External Attention Transformer
Alzheimer's disease is one of the major challenges in medical care this century, affecting millions of people worldwide. Alzheimer's damages neurons and connections in brain areas responsible for memory, language, …
Comparison of Sugarcane Drought Stress Based on Climatology Data UsingMachine Learning Regression Modelin East Java
Crop Water StressIndex (CWSI), derived from vegetation features (NDVI) and canopy thermal temperature (LST), is an effective method to evaluate sugarcane sensitivity to drought using satellite data. However, obtaining CWSI…
Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments
Business development cannot be separated from relationships with customers. Understanding customer characteristics is important both for maintaining sales and even for targeting new customers with appropriate strategies. The…