Monitoring Kendaraan Kas (MONIKA)

• 1. Risk of Theft or Fraud: Trucks carrying valuable items, like money, are highly vulnerable to theft, whether from external threats or from internal sources, such as unauthorized personnel.

  2. Lack of Real-Time Vehicle Location Tracking: It’s difficult to monitor the location and movements of vehicles, leading to challenges in ensuring proper routing and accountability during transport.

  3. Difficulty in Ensuring Driver Accountability: Tracking which driver is operating the vehicle and ensuring that the right person is responsible for the vehicle’s movement and security is hard because the roosters were done manually.

  4. Inadequate Security for Vehicles and Cargo During Transport: Lack of monitoring could lead to undetected security breaches or other incidents.

  5. Route Deviations and Unauthorized Area Access: Vehicles may deviate from planned routes or enter unauthorized zones. Sometimes when unplanned things happen, we can't suggest the detour.

  6. Challenges in Inventory Verification and Management: Inventory loads were not recorded digitally, so we don't have direct access to this kind of data.

  7. Delayed Emergency Response in Case of Security Breaches: In the event of an emergency, such as a security breach or accident, quick intervention is not available.

• 1. Enhance Security and Prevent Theft: To improve the security of vehicles transporting valuable cargo, ensuring that unauthorized access, theft, or fraud is minimized during transit.

  2. Improve Vehicle and Driver Accountability: To track and verify the identity of drivers and ensure that only authorized personnel operate the vehicles, reducing the risk of internal misconduct or errors.

  3. Provide Real-Time Tracking and Monitoring: To enable BI to monitor the location and movement of vehicles in real time, ensuring that routes are followed, and any deviations or incidents can be promptly addressed.

  4. Ensure Compliance with Traffic Regulations and Speed Limits: To ensure that vehicles follow legal speed limits and other traffic regulations, reducing the risk of accidents, fines, and damage to reputation.

  5. Strengthen Operational Efficiency: To optimize vehicle routes, reduce delays, and ensure that resources (e.g., fuel, time, staff) are used efficiently during transportation, lowering operational costs.

  6. Improve Cargo and Inventory Management: To track and verify the inventory being transported, ensuring that the correct items are delivered to the right locations without discrepancies or loss.

  7. Enable Rapid Emergency Response: To ensure that emergency services (e.g., police) can respond quickly in case of a security breach, accident, or other urgent situation by integrating panic buttons and other emergency features.

  8. Optimize Resource Allocation: To effectively manage the fleet and drivers, ensuring that vehicles are properly dispatched, monitored, and used, thereby improving fleet management and reducing unnecessary costs.

  9. Improve Data-Driven Decision Making: To leverage real-time data on vehicle movement, driver behavior, and operational efficiency to make informed decisions and optimize BI’s logistics operations.

  10. Increase Transparency and Accountability: To create a transparent system for monitoring the movement and handling of high-value cargo, ensuring that any discrepancies can be identified and addressed quickly.

• 1. Compliance with Speed Limits and Traffic Regulations: Monitor how often vehicles adhere to speed limits and road safety regulations. An increase in compliance would suggest that the system is effectively managing driver behavior.

  2. Average Response Time for Emergency Situations: Track the time it takes for emergency responders (e.g., police) to react to panic button alerts or other security incidents. A reduction in response time indicates effective emergency response integration.

  3. Real-Time Tracking Accuracy: Measure the accuracy and reliability of real-time vehicle tracking data, including GPS positioning and route adherence. Higher accuracy would reflect successful tracking system functionality.

  4. Inventory Accuracy During Transit: Track the number of discrepancies or errors in inventory carried on vehicles during transit. A decrease in discrepancies would indicate better cargo management through the system.

  5. Vehicle Utilization Rate: Measure how efficiently the fleet is being used, including the number of vehicles deployed versus available. Higher utilization rates would indicate improved fleet management and reduced idle time.

  6. Driver Accountability and Compliance: Track the percentage of trips where the assigned driver complies with system requirements (e.g., logging in, following routes). High compliance rates would show that the system is effectively ensuring driver accountability.

  7. Incident Rate of Route Deviations: Measure the frequency of unauthorized route deviations or geofencing breaches. A reduction in deviations would suggest that the system is helping drivers stay on authorized paths.

  8. Reduction in Vehicle Downtime: Track how often vehicles are unavailable due to breakdowns, maintenance, or other issues. A reduction in downtime would indicate improved vehicle reliability and better fleet management.

BI internal team

Some snips of what has been accomplished

Internal use only