Vol 9 No 2 (2025)
Dublin Core
Title
Vol 9 No 2 (2025)
Collection Items
Feature SelectionUsingPearson Correlation for Ultra-WidebandRangingClassification
Indoor positioning plays a crucial role in various applications, including smart homes, healthcare, robotics, and asset tracking. However, achieving high positioning accuracy in indoor environments remains a significant challenge due to obstacles…
Comparing Word Representation BERT and RoBERTa in Keyphrase Extraction using TgGAT
In this digital era, accessing vast amountsof information from websites and academic papers has become easier. However, efficiently locating relevant content remains challenging due to the overwhelming volume of data. Keyphrase …
Hand Sign Recognition of Indonesian Sign Language System (SIBI) Using Inception V3 Image Embedding and Random Forest
This paper presents a sign language recognition system for the Indonesian Sign Language System (SIBI) using image embeddings combined with a Random Forest classifier. A dataset comprising 5280 images across 24 classes of SIBI alphabet…
Optimizing Multilayer Perceptron for Car Purchase Prediction with GridSearch and Optuna
Multilayer Perceptron (MLP) is a powerful machine learning algorithm capable of modeling complex, non-linear relationships, making it suitable for predicting car purchasing power. However, its performance depends on…
Implementation of Generative Language Models in Cyber Exercise Secure Coding Using Prompt Engineering
Utilizing Artificial Intelligence (AI) in various fields can open up great opportunities to improve cybersecurity. AI can effectively detect security threats, analyze attack patterns, and respond rapidly to changes in thecyber…
Enhancing Problem-Solving Reliability with Expert Systems and Krulik-Rudnick Indicators
Problem-solving is one of the skills needed in the 21st century, but there is a significant gap between the ideal conditions and the reality of students' problem-solving skills. One method that can improve students' problem-solving …
Enhanced Heart Disease Diagnosis Using Machine Learning Algorithms: A Comparison of Feature Selection
Heart disease or cardiovascular disease is one of the leading causes of death in the world. Based on WHO data, in 2019,as many as 17.9 million people died from cardiovascular disease. If early prevention is not carried out immediately, of course,the…
Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance
Industry 4.0 requires secure networks as the advancements in IoT and AI exacerbate the challenges and vulnerabilities in data security. This research focuses on detecting Bot-IoT activity used the dataset Bot-IoT UNSW Canberra 2018. Bot-IoTdataset…
Comparative Analysis of Machine Learning Algorithms for Predicting Patient Admission in Emergency Departments Using EHR Data
very patient who is rushed to the Emergency Department needs fast treatment to determinewhether the patient should be inpatientor outpatient. However, the existing fact is that decidingwhether an inpatientor outpatientmust wait for the…
An In-depth Exploration of Sentiment Analysis on Hasanuddin Airport using Machine Learning Approaches
Machine learning-based sentiment analysis has become essential for understanding public perceptions of public services, including air transportation. Sultan Hasanuddin Airport, one of the main gateways in eastern Indonesia, faces the…