Journal of Computer and Creative Technology

Comparing a Thai Words Segmentation Methods in the LST20 Dataset

2024-03-28T15:21:06+07:00

In this era of globalization where information is widely available, organizations are increasingly placing importance on using information to enhance their business. Although data is easily available, there are still challenges in natural language processing tasks, especially, the division of Thai words that lacks clarity of word boundaries, etc. This makes it difficult to identify the word groups in a sentence appropriately. Therefore, this study focuses on evaluating the performance of the word segmentation method including the Dictionary use and learning from data using evaluation of word segmentation in six techniques are important goals for the verification of the literal level accuracy and processing time of each method and technique, by the LST20 dataset contains 3,745 documents and covers 15 news categories in results show a more efficient way to learn from data.

Land Price Prediction with Machine Learning in Mueang Khon Kaen District

2024-04-29T10:20:19+07:00

This research aims to develop a model of land price assessment and study of factors influencing land prices with machine learning used as a guideline for determining the estimated price to be close to the actual purchase price in Mueang Khon Kaen District from land price information traded on websites in enforcement department of 193 locations, and land price assessment information in land department of 1,500 locations in this study the factors involved include appraisal value, property type, land size, distance, and the average appraisal value of five nearby plots of land. The models used for analysis are Regression Tree, Random Forest, Gradient Boosted Trees, and Linear Regression. Which, the land price assessment from the case study by model measurement in MAE, RMSE, R-squared, Grid Search, and Cross-validation to selected model parameters and evaluate their performance. The results found that the model with the best predictive performance is Gradient Boosted Trees in R-squared at the highest of 0.80, MAE, and RMSE at the lowest of 7929.40, and 15281.33, respectively. Feature Importance in the locations with the most influence on prediction, followed by area size, average appraised value from five nearby locations, and property type.

Development of Honoring His Majesty’s Exhibition in Metaverse Model, Royal Rainmaking Project

2024-06-12T14:20:06+07:00

This research aims to develop and evaluate the satisfaction of honoring His Majesty's exhibition in the metaverse model, Royal Rainmaking project in a study among 30 samples of visitors to the exhibition honoring His Majesty in data collection operations from honoring His Majesty's exhibition in the metaverse model, and satisfaction assessment form towards analysis by mean and standard deviation. Results find that viewers can avatar themselves and visit the developed metaverse exhibition space such as infographics, multimedia, and 3D models, there are comments and interactions to collect items at exhibition points. Which, is the satisfaction of honoring His Majesty's exhibition in the metaverse model of high levels.

Development of Mathematics Achievement, Mathematics Problem- Solving Ability, and Responsibility Using Inquiry-Based Learning Management of Grade, 7 Students

2024-04-05T06:32:33+07:00

This study aimed to 1) compare the mathematics achievement before and after the inquiry-based learning management, 2) compare the mathematics achievement after learning management with the 70 percent criterion, and 3) develop the level of mathematics problem-solving and responsibility after the learning management of grade, 7 students. The instruments used for data collection were learning management plans, achievement tests, problem-solving ability tests, and responsibility tests. Data analysis was analyzed using mean, standard deviation, the t-test. The results found that 1) the students have higher mathematics achievement after learning than before learning, and higher than the 70 percent criterion at a statistically significant of 0.05 levels, 2) problem-solving ability at high levels, and 3) responsibility after learning management at most levels.

Ability for Mathematical Problems-Solving by Think-Pair-Share Technique of Grade, 4 Students

2024-04-05T06:33:15+07:00

This research aims to study the ability for mathematical problem-solving by Think-Pair-Share technique of grade, 4 students at Municipal School, 5 in Siharakwittaya, Udon Thani Province in this study. The instruments used for data collection were learning management plans, academic achievement tests, ability for mathematical problem-solving tests, and responsibility tests leading to data analysis using mean, standard deviation, and t-test. The results found that the ability for mathematical problem-solving and academic achievement of students was higher than the 70% criteria with statistical significance at the .05 level. The ability for mathematical problem-solving after learning management was high-level accounting for 55.19%, moderate-level accounting for 41.31%, and low-level accounting for 3.44%, respectively. The responsibility after learning management is at the highest level.