87 Chapter V Conclusion and Recommendations V.1. Conclusion The results showed that there were a number of root problems that caused significant deviations, exceeding the acceptable threshold of 5%. Based on the results of the analysis, the Author concludes that : 1. The cause of deviation in production estimates between the truck count method toward the survey consists of three factors, namely mismatch of truck factor that are not in accordance with field conditions, variations in payload, and the conventional system in the reporting and data management process. If the factors are not managed properly, they can impact for very high deviations (up to 30%) as shown in Figure 1.2. 2. To minimize the deviation of truck count methode toward survey method below 5%, it is necessary to conduct periodic retesting of truck factors to align with current field circumstances, revise the SOP for volume to tonnage conversion, and educate relevant teams on the revised SOP. Develop the detailed Standard Operating Procedure for uniform loading procedures, execute the training and certification of hauler operators, and perform frequent calibration of the payload system to ensure accuracy and consistency. This plan includes routine evaluation of SOP execution, improvement of data verification and validation procedures, and quarterly training for improvements in data management to reduce errors and inconsistencies. The integration of Fleet Management System (FMS) may improve operational efficiency and reduce the deviations as evidenced by PT.