TRAVEL AND TOURS ADMINISTRATIVE MANAGEMENT SYSTEM: (FACILITIES RESERVATION, DOCUMENT MANAGEMENT, VISITOR MANAGEMENT, AND LEGAL MANAGEMENT) WITH SMART FACILITIES MONITORING AND ALARM SYSTEMS WITH MICROCONTROLLERS AND MICROSENSORS, ENHANCED BY AI

Abstract

In today’s highly competitive travel industry, digital transformation is crucial for achieving operational efficiency and maintaining a competitive edge. This study examines the implementation of the Travel and Tours Administrative Management System (TTAMS) at JVD Events and Travel Management Co. The research addresses key issues associated with manual workflows, such as process inefficiencies, unclear user roles, error-prone data entry, and prolonged service delivery timelines. Furthermore, reliance on legacy, paper-based documentation poses challenges in data traceability and exposes client information to potential security risks. The TTAMS initiative introduced four core capabilities: Facilities Reservation, Document Management, Visitor Management, and Legal Management. The system design integrated process automation through AI algorithms alongside IoT-enabled microcontrollers and sensor arrays to enhance operational performance. A notable advancement in cybersecurity was also implemented, utilizing TensorFlow to analyze malware-converted image data. This technique transforms potentially malicious files into grayscale or RGB images for neural network classification, effectively reducing the risk of cyberattacks on sensitive guest information within the travel industry. Key findings indicate substantial operational improvements following the implementation of TTAMS. The TensorFlow-based malware detection system effectively identified suspicious files, offering robust protection for sensitive travel data. Automation features significantly reduced processing overhead, enabled role-based access controls, and eliminated workflow bottlenecks. The introduction of a centralized document repository ensured version control, maintained data integrity, and enhanced information searchability. Additionally, database optimization techniques improved query response times, addressing previous service inefficiencies and supporting scalability for future customer growth. The adoption of digital record management also established comprehensive redundancy protocols, mitigating vulnerabilities inherent in traditional paper-based documentation systems. Users expressed high levels of satisfaction with the TTAMS platform, with clients particularly appreciating the streamlined process flows and data visualization features. The TensorFlow-based malware image analysis function was notably commended for its ability to perform flexible security tasks without compromising overall system performance. Overall, the findings suggest that the enterprise-level integration of TTAMS has a transformative impact on business operations in the travel sector, extending beyond internal optimization to influencing broader industry practices and standards.