Browse Items (12 total)
- Collection: Vol 8 No 5 (2024)
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An Investigation Towards Resampling Techniques and Classification Algorithms on CM1 NASA PROMISEDataset for Software Defect Prediction
Software defect prediction is a practical approach to improvingthequality and efficiency of software testing processes. However,establishing robust and trustworthy models for software defect prediction is quite challenging due to the…
Designing aKnowledge-Based Chatbot to Elevate Business Licensing Services in Indonesia
The business licensing process in Indonesia often faces several challenges, including lack of information, unstable system, complicated procedure, and slow response to complain. These issues can hinder economic growth and limit access…
Optimizing Book Stocktaking Process: Integration of Mobile Robot QRCode Commands with SLiMS
This study presents a novel approach to enhance efficiency and precision in library management through the utilization of QR code technology. Integration of a mobile robot equipped with a QR code reader into the stocktake process, interfaced with…
Machine Learning Methods for Forecasting Intermittent Tin Ore Production
Effective production forecasting is important for resource planning and management in the mining industry.Tin ore production from Cutter Section Dredges (CSD) may fluctuatedue to a variety of factors, in which there are periods when the production is…
ESP32 and MAX30100 with Chebyshev Filter for Enhanced Heart and Oxygen Measurement
Health monitoring is important in the technology and information era. A health monitoring device must possess high accuracy in monitoring an individual's health. The MAX30100 sensor still exhibits low accuracy and requires improvements to enhance its…
Cross-Spectral Cross-Distance Face Recognition via CNN with Image Augmentation Techniques
Facial recognition is a critical biometric identification method in modern security systems, yet it faces significant challenges under varying lighting conditions, particularly when dealing with near-infrared (NIR) images, which exhibit …
Rice Price Prediction with Long Short-Term Memory (LSTM) Neural Network
Rice is a crucial commodity, especially in countries that rely on rice as a staple food. Fluctuations in rice prices can impact inflation, purchasing power, and economic stability. Therefore, an effective method for forecasting rice prices is…
Prototype of SwiftletNest Moisture ContentMeasurement Using Resistance Sensor and Machine Learning
Swiftletnests are highly valued for their health and cosmetic benefits, with moisture content crucial in determining their quality. Traditional moisture measurement methods are often slow and can potentially damage the samples. This …
Quantum-Enhanced K-Medoids Clustering: Comparative Analysis of Stroke Medical Data
Stroke is a severe medical condition that occurs when the blood supply to parts of the brain is interrupted or reduced, resulting in brain tissue that lacks oxygen and nutrients. This causes brain cells to start to die in minutes. Early prevention…
Improving Diabetes Prediction Accuracy in Indonesia: A Comparative Analysis of SVM, Logistic Regression, and Naive Bayes with SMOTE and ADASYN
This study aims to enhance the accuracy of diabetes prediction models in Indonesia by comparing the performance of Support Vector Machines (SVM), Logistic Regression, and Naïve Bayes algorithms, both with and without synthetic …