Browse Items (26 total)

The Thermal Humidity Index (THI) serves as a critical measure of environmental thermal comfort, particularly vital for living beings in densely populated regions. This study projects and classifies THI in the western northern coastal areas of Central…

The increasing demand for data security in digital communication, particularly in high-risk sectors like defense, has led to the exploration of innovative encryption approaches. This study presents a dual-layer encryption model that enhances…

Road damage, including potholes and cracks, is a significant issue frequently encountered in road infrastructure in many regions. Such conditions accelerate road degradation, increase the risk of traffic accidents, and …

This study evaluates the performance of five optimization algorithms in Artificial Neural Network (ANN) models for predictinghouse prices in Pekanbaru. The optimizers tested include Adam, AdaDelta, Stochastic Gradient Descent (SGD), Nadam, and…

Liver diseases (e.g. cirrhosis, hepatitis, and fatty liver disease) are globally one of the leading causes of mortality and are typically diagnosed in advanced stages due tovague symptoms and the difficulty involved in existing…

n Agile software development, efficient defect prediction is crucial because of the rapid and iterative nature of the delivery. Conventional methods that rely on source code or commit logs often fail to capture the critical contextual signals…

Tourism is a vital economic sector for Lombok Island, which is renowned for its natural beauty and cultural richness as a topdestination. The rapid growth of tourism in Lombok requires a deep understanding of tourists' perceptions and sentiments to…

The complexity of the motifs and large number of different patterns make the classification of Toraja carvings challenging. The objective of this study is to develop a Convolutional Neural Network automatic classification model using a…

Traditional methods for identifying potato leaf diseases rely on manual visual inspection, which is prone to human error and inefficiencies. Although machine learning models have improved automation, conventional closed-set classifiers …

As climatic products, tomatoes are highly sensitive to harvesting and processing. The sorting of tomatoes can be significantly improved by utilizing Hue Saturation Value (HSV) color features that are classified using neighboring algorithms, such as…