Browse Items (14 total)
- Collection: Vol 8 No 3 (2024)
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A Middleware Applications Design for Health Information Sharing
The interoperability between electronic health records (EHR) and electronic medical records (EMR) from various healthcare facilities for comprehensive patient care is important. However, integrating such systems, including the…
Comparative Analysis of Recurrent Neural Network ModelsPerformance in Predicting Bitcoin Prices
Recurrent Neural Network is a Deep Learning algorithm that is commonly used to develop prediction systems. There are many variants of RNN such as RNN itself, Long Short Term Memory (LSTM), and Gated Recurrent Unit, so it is frequently debatable which…
Comparative Analysis ofHybrid ModelPerformanceUsing Stacking and Blending Techniques for Student Drop-OutPrediction in MOOC
Despite being in high demand as a lifelong learner and academic material supplement, the implementation of Massive Open Online Courses(MOOC) has problems, one of which is the dropout rate (DO) of students which reaches 93%. As one of the solutions to…
Comparisonof Matrix Decomposition in Null Space-Based LDA Method
Problems with small sample sizesand high dimensionality are common in pattern recognition.Almost all machine learning algorithms degrade in high-dimensional data, so thatsingularities in the scatter matrices, the main problem of the …
Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3
The application of an electronic violation detection system has begun to be implemented in many countries by utilizing CCTV cameras installed at highway and toll road points. However, the development of a violation detection system using data in…
Forecasting theStockPrice of PT Astra InternationalUsing theLSTM Method
Stocks are one of the long-term investment options and represent ownership in a company that can be acquired through buying and selling. Investment carries both profit potential and risks that must be faced by investors when they provide their…
GLCM-BasedFeature Extraction for Alpha Matting on Natural Images
The main objective of this research is to determine the optimal threshold value in the unknown region in the alpha-matting operation of natural images. Alpha-mating serves to draw matte from the image used in segmentation. The alpha value is very…
Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases
Heart disease is a majorproblem that must be overcome for human life. In recent years, the volume of medical data related to heart disease has increased rapidly, and various heart disease data have collaborated with information technology such as…
Integration of YOLOv5Algorithm and OpenCV in InnovativeSmart Parking Management Approach
The problem of automatic parking lot identification and vehicle detection in open areas is becoming increasingly important due to the growth in the number of vehicles in Indonesia, particularlyin big cities, resulting in difficulties in finding…
Making AI Work for Government: Critical Success Factors Analysis Using R-SWARA
Artificial Intelligence (AI) stands at the forefront of modern technologyand isextensively leveraged by the public sector to enhance management and service delivery. Despite its potential, many organizations face challenges in AI …