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เนื่องจากปลาหมอคางดำมีการแพร่กระจายของประชากรได้อย่างรวดเร็ว จึงต้องมีการควบคุมประชากรของปลาหมอคางดำด้วยการนำไปใช้ประโยชน์ จึงมีการทดลองนำปลาหมอคางดำมาทำเป็นผลิตภัณฑ์ลูกชิ้นปลา เพราะลูกชิ้นปลาเป็นอาหารที่เข้าถึงได้ง่าย และโปรตีนสูงอีกทั้งยังเป็นอาหารที่เหมาะสมสำหรับทุกเพศทุกวัย
วิทยาเขตชุมพรเขตรอุดมศักดิ์
This project focuses on developing a work tracking system for team members. Python is used to extract data from Excel files and import it into a SQL Server database for systematic data management. The system includes a function to notify task status via LINE and displays reports via Power BI, allowing supervisors to track progress and evaluate team members' performance efficiently. Additionally, the system helps promote work and time management skills for team members.
คณะอุตสาหกรรมอาหาร
This study aims to develop alginate-based hydrogels reinforced with carrageenan and gellan gum as composite materials for oral drug delivery. Alginate, a naturally derived polymer from brown algae, forms a gel upon exposure to cations such as calcium ions, enhancing the hydrogel’s structural integrity. Carrageenan and gellan gum, both polysaccharides, further improve stability and encapsulation efficiency. This research investigates the physical properties, mechanical strength, encapsulation capacity, and swelling behavior of hydrogel beads under simulated gastrointestinal conditions. The findings are expected to demonstrate that incorporating carrageenan and gellan gum enhances the durability and stability of hydrogel beads while enabling controlled release of active compounds in the gastrointestinal tract. These advanced hydrogel beads hold significant potential for applications in the food and pharmaceutical industries as effective oral delivery systems for bioactive substances.
คณะวิทยาศาสตร์
In a highly competitive business, understanding customers is crucial for an organization to determine its success. Effective marketing is not just about offering good products, promotions, or services; it also requires strategies to reach and build strong relationships with customer groups. Segmenting customers is one method that helps businesses deeply understand the needs and behaviors of the customers who use their services In this internship, the objective is to understand the behavior of customers purchasing coffee and tea at a large cafe group by analyzing stored customer data. As a result of this process, customer groups purchasing coffee and tea were segmented using Naive Bayes, Random Forest, and Deep Learning techniques to compare the accuracy and suitability of different Machine Learning methods, and the insights gained from this analysis can be for further development in analyzing other data set in the future