Browse Items (5 total)
- Collection: Vol 8, No 1
January 2025
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Classification and Prediction of Video Game Sales Levels Using the Naive
Bayes Algorithm Based on Platform, Genre, and Regional Market Data
The exponential expansion of the video game industry has resulted in a vast accumulation of market data that can be leveraged to analyze and
predict sales performance. This study aims to construct a classification model for video game sales levels…
predict sales performance. This study aims to construct a classification model for video game sales levels…
An Efficient Sampling Approach for Village Elections: Quick Count Using
Stratified Systematic Cluster Sampling
Quick counts are widely used to estimate election outcomes before official results are announced. However, their accuracy depends on the quality
of the sampling method used. This study applies the Stratified Systematic Cluster Random Sampling method…
of the sampling method used. This study applies the Stratified Systematic Cluster Random Sampling method…
A Machine Learning Approach to Indonesian Climate Change Sentiment
Analysis Using Naive Bayes
Climate change poses a significant global challenge, particularly for archipelagic nations such as Indonesia that are highly vulnerable to rising
temperatures and extreme weather events. This study applies machine learning-based sentiment analysis…
temperatures and extreme weather events. This study applies machine learning-based sentiment analysis…
Identifying Adolescent Behavioral Profiles Through K-Means Clustering
Based on Smartphone Usage, Mental Health, and Academic Performance
The pervasive integration of digital devices into students’ daily lives has profoundly shaped their learning habits and psychological well-being.
As technology becomes increasingly embedded in academic and personal routines, understanding the…
As technology becomes increasingly embedded in academic and personal routines, understanding the…
A Gaussian Naive Bayes and SMOTE-Based Approach for Predicting
Breast Cancer Aggressiveness in Imbalanced Datasets
Breast cancer remains one of the leading causes of death among women worldwide, making early and accurate detection essential to improving
patient outcomes. This study aims to develop a predictive model for breast cancer aggressiveness using the…
patient outcomes. This study aims to develop a predictive model for breast cancer aggressiveness using the…