The growing interest in antioxidant-rich foods is driven by their potential to reduce the risk of chronic diseases such as cancer, cardiovascular conditions, and cellular degeneration. Ginger (Zingiber officinale), banana inflorescence (Musa paradisiaca L.), and roselle (Hibiscus sabdariffa L.) are herbal plants known for their high phenolic content, a crucial component in antioxidant activity. However, the bioactive compounds in these plants are often unstable when exposed to light, temperature, and oxygen, leading to a reduction in their efficacy. This study aims to investigate the optimal ratio of ginger, banana inflorescence, and roselle for encapsulation in liposomes—a technique designed to enhance the stability of bioactive compounds and improve their delivery efficacy. The research evaluates the antioxidant activity of the extracts using DPPH, ABTS, and FRAP methods, alongside total phenolic content (TPC) measurement. The most effective ratio for antioxidant activity will be selected for liposomal encapsulation, employing phospholipids as key structural components. The encapsulation efficiency (EE%) will be calculated to assess the effectiveness of the liposomal delivery system. The findings are expected to identify the optimal combination of ginger, banana inflorescence, and roselle that maximizes antioxidant potency and enhances the stability of bioactive compounds through liposomal encapsulation. This approach offers a promising strategy for developing herbal health supplements that maintain their biological properties over time.
การเสื่อมสภาพของเซลล์จากอนุมูลอิสระเป็นสาเหตุหลักที่นำไปสู่การเกิดโรคเรื้อรังต่าง ๆ เช่น โรคมะเร็ง โรคหัวใจ และการเสื่อมสภาพของเซลล์ในระบบต่าง ๆ ของร่างกาย ดังนั้นการใช้สารต้านอนุมูลอิสระจากธรรมชาติจึงเป็นวิธีหนึ่งในการลดความเสี่ยงจากการเกิดโรคเหล่านี้ ขิง ปลีกล้วย และกระเจี๊ยบ เป็นพืชที่มีสารต้านอนุมูลอิสระและสารฟีนอลิกที่มีคุณสมบัติในการป้องกันความเสื่อมของเซลล์ อย่างไรก็ตาม สารเหล่านี้อาจสูญเสียประสิทธิภาพเมื่อสัมผัสกับปัจจัยภายนอก เช่น แสง ความร้อน และออกซิเจน ดังนั้นการใช้เทคนิคการห่อหุ้มสารด้วยวิธีลิโพโซม จึงช่วยเพิ่มความเสถียรของสารสำคัญและเพิ่มประสิทธิภาพในการนำส่งสารไปยังจุดเป้าหมายจึงเป็นสิ่งสำคัญ

คณะวิทยาศาสตร์
This study aimed to investigate the effectiveness of extracts from moringa seeds, roselle seeds, and tamarind seeds as coagulants to improve water quality in surface water sources. Extracts from these seeds serve as environmentally friendly coagulants and provide alternative options for enhancing surface water quality. The turbidity of surface water sources ranged between 14 and 24 NTU. The coagulation process used the Jar Test method, where the moringa seed, roselle seed, and tamarind seed extracts functioned as both primary coagulants and coagulant aids. In the preparation process, the seeds were finely ground and extracted using a 0.5-M sodium chloride (NaCl) solution. These extracts were then applied as coagulants to reduce turbidity and enhance water quality, with each concentration tested in 300 ml of water. The results indicated that the most effective way to remove turbidity using 2,000 mg/L of moringa seed extract, achieving a turbidity reduction of approximately 73.19% at a cost of 0.0309 baht per 300 ml of water. Followed by Tamarind seed extract, with a concentration of 4,000 mg/L, followed with a turbidity reduction of approximately 56.75% at a cost of 0.0933 baht per 300 ml. Lastly, roselle seed extract at 6,000 mg/L achieved a turbidity reduction of approximately 32.67% at a cost of 0.0567 baht per 300 ml of water.

คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.

คณะวิศวกรรมศาสตร์
This cooperative education report presents a project for developing a Distributed Control System (DCS) for boilers in a sugar factory. The objective is to enhance the control system for boilers 1-8 to operate cohesively within the DCS framework provided by ABB, utilizing the ABB Ability™ System 800xA software. The overall functionality of the system involves creating a control program that begins with the utilization of bagasse, a byproduct from the sugar extraction process, as fuel for the boiler. The program manages various operations of the boiler, including the intake of air into the combustion chamber, the internal functioning of the boiler, and the treatment of flue gases before their release into the atmosphere. The project encompasses the development of the DCS program, the design and creation of HMI display graphics, the study and design of the boiler control system, the documentation of the project, and the control processes utilizing the ABB Ability™ System 800xA software, culminating in the operational outcomes.