Fraud Detection System for Steel Logistic SME Business on Cloud Services model

This paper aims to present the system of Fraudulent Detection for Steel Logistic SME Business on Cloud Services. The system is developed based on the traditional steel logistic business management which is deployed on the cloud computing system. The study takes into account the concept of the Logistic Management in which it is started from analyzing the customer order processing and to the end process of the accounts clearing. The fraudulent detection is implemented to track all the logistic process. The survey of conceptual framework evaluation shows the significant efficiency between two kinds of business management models. Furthermore, the results of the evaluation also demonstrates that the positive feedback from all officers is greater than 80%. After implementing the success Fraudulent Detection System on the actual management, the results of the factors influencing the adoption of sufficient cloud services for steel logistic SME Business shows that the Delivery Performance Percentage (DPP) and the Truck Maintenance Performance can be classified into three levels: highest, medium and lowest of the delivery performance and the truck maintenance performance.