Browse Items (20 total)
- Collection: Vol 9 No 2 (2025)
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Customer Satisfaction Evaluation in Online Food Delivery Services: A Systematic Literature Review
The rapid growth of online food delivery services has heightened the need for effective customer satisfaction measurement. This systematicliterature review examines 476 papers, selecting 15 key studies to identify prevailing evaluation approaches.…
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…
Deep learning with Bayesian Hyperparameter Optimization for Precise Electrocardiogram Signals Delineation
Electrocardiography (ECG)serves as an essential risk-stratification tool to observe further treatment for cardiac abnormalities. The cardiac abnormalities are indicated by the intervals and amplitude locations in the ECG…
Comparison of Sugarcane Drought Stress Based on Climatology Data UsingMachine Learning Regression Modelin East Java
Crop Water StressIndex (CWSI), derived from vegetation features (NDVI) and canopy thermal temperature (LST), is an effective method to evaluate sugarcane sensitivity to drought using satellite data. However, obtaining CWSI…
Detecting Alzheimer'sBasedon MRI Medical Imagesby Using External Attention Transformer
Alzheimer's disease is one of the major challenges in medical care this century, affecting millions of people worldwide. Alzheimer's damages neurons and connections in brain areas responsible for memory, language, …
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…
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…
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…
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…
Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments
Business development cannot be separated from relationships with customers. Understanding customer characteristics is important both for maintaining sales and even for targeting new customers with appropriate strategies. The…