Development of a Web-based Community Marketplace System to Enhance the Competitiveness of Community Enterprises

2026-03-28T11:58:07+07:00

This study aimed to design and develop an online community marketplace system, evaluate its technical performance, and analyze its impact on the business performance of community enterprises. The study employed a Research and Development (R&D) approach. The research instruments included the developed online community marketplace system, a five-point Likert scale questionnaire, and performance testing using Apache JMeter. The results indicated that the system successfully supported product management, ordering, payment processing, and order tracking functions. The system achieved a response time ranging from 1.20 to 1.80 seconds and an error rate of less than 1% under the specified testing environment. In addition, the system was capable of supporting concurrent users efficiently. Regarding business impact, the findings revealed that average revenue increased by approximately 40%, operating costs decreased by approximately 20%, and the number of customers increased by approximately 80%. Although the results of the paired samples t-test did not show statistically significant differences (p > 0.05) due to the limited sample size used for business impact analysis (n = 3), the findings demonstrated a clear trend toward improved business performance. The study highlights that integrating both technical and business evaluations provides a concrete explanation of the relationship between information system performance and business outcomes in the context of community enterprises.

The Application of ABC Analysis and Economic Order Quantity for Warehouse Management

2026-06-05T11:03:51+07:00

This research aimed to investigate the warehouse and inventory management system of AT Advance Co., Ltd. by applying ABC Analysis, the Economic Order Quantity (EOQ) model, and the Reorder Point (ROP) technique to improve inventory management efficiency and reduce inventory-related costs. This applied research collected inventory usage data over a 12-month period, including annual demand, unit cost, and relevant inventory cost information. The data were analyzed using ABC Analysis to classify inventory items according to their annual consumption value. Subsequently, Group A items were selected for determining the optimal order quantity using the EOQ model and for calculating appropriate reorder points. The results revealed that the company's inventory consisted of 105 items, which were classified into 33 Group A items, 41 Group B items, and 31 Group C items. Group A accounted for 79.25% of the total annual inventory consumption value, with most items comprising electrical equipment and electrical control devices that are critical to the company's operations. Subsequently, 12 high-priority items from Group A were selected for EOQ analysis. The results indicated that the optimal order quantity varied according to the annual demand and inventory-related costs of each item, enabling a more efficient balance between ordering and holding costs. Furthermore, the calculated reorder points ranged from 0.5 to 4.9 units, which helped reduce the risk of stockouts and provided a more systematic approach to replenishment planning. The findings demonstrate that integrating ABC Analysis, the Economic Order Quantity (EOQ) model, and the Reorder Point (ROP) technique can significantly improve warehouse and inventory management by prioritizing critical inventory items, supporting systematic purchasing decisions, reducing inventory-related costs, and enhancing overall operational efficiency.

Wittayasara: Integration Apply Engineering and Industrial Technology

Development of a Web-based Community Marketplace System to Enhance the Competitiveness of Community Enterprises

The Application of ABC Analysis and Economic Order Quantity for Warehouse Management