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Improved Backpropagation Using Genetic Algorithm for Prediction of Anomalies and Data Unavailability
Anomalies and data unavailability are significant challenges in conducting surveys, affecting the validity, reliability, and accuracy of analysis results. Various methods address these issues, including the Backpropagation Neural Network…
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 …
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…
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…
Recommendation for Scrum-Based Software Development Process with Scrum at Scale: A Case Study of Software House XYZ
Software House XYZ employs Scrum as one of its software development processes. However, the company faces several challenges in the implementation of Scrum, leading to delays in their product releases. Two specific problems are 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…
mplementing Continuous Integration and Deployment Strategy: Cloversy.id RESTful API Development
The software development cycle involves testing and deployment stages that can be laborious and time-consuming, especially in collaborative projects that involve several developers. Implementing Continuous Integration (CI) and Continuous Delivery…
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 …
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…