Browse Items (20 total)

Navigating complex educational websites poses challenges for users looking for specific information. This research discusses the problem of efficient information search on closed-domain educational platforms, focusing on the Universitas …

Indicators of the main mode of transportation used by domestic touristsduring tourism trips cannot yet be estimated using Passive MPD which is recorded based on the location of the BTS that captures the cellular activity …

This research aims to analyze the impact of the Adaptive Synthetic (ADASYN) oversampling technique on the performance of the Naïve Bayes classification algorithm on datasets with class imbalance. Class imbalance is a common problem in machine…

Chatbots are increasingly prevalent in various fields, including academic fields. Universities often rely on lecturers and staff for information access, which can lead to delays, limited availability outside working hours, and the risk of…

This research aims to evaluate the performance of various Transformer models in social media-based classification tasks, specifically focusingon applications in personality profiling. With the growing interest in leveraging social…

The purpose of this research is to determine whether or not a deep learning model called VGG16 can automatically identify bone fractures in X-ray pictures. The dataset, sourced from Kaggle, includes 10,522 images of human hand and foot bones, which…

Agriculture is one of the most important sectors integral to human civilization, and technological adaptation is necessary to maintain its quality. This research aims to achieve high productivity in the agricultural sector by using neural…

Advancements in machine learning have enabled the development of more accurate and efficient health prediction models. This study aims to improve diabetes prediction performance using the Support Vector Machine (SVM) model optimized…

Most of thehate speech and abusive content on social media, particularly in the Indonesian language, presents significant challenges for content moderation systems. Previous research has applied machine learning models such as Recurrent Neural…

Stunting, a condition characterisedby short stature, is a growth disorder caused by chronic malnutrition, which often begins in the womb. Children affected by stunting usually show different physical and cognitive characteristics …