<![CDATA[Accurate energy data management is essential for improving operational decision-making in industrial environments; however, manual and semi-integrated data acquisition processes often cause discrepancies between internal metering and external billing data. This study aims to implement a Modbus TCP-based Energy Information System (EIS) to reduce energy data discrepancies, improve reporting efficiency, and evaluate user acceptance in a food and beverage manufacturing facility. The research employed a structured implementation approach consisting of system design, integration, performance evaluation, and user acceptance analysis. The proposed EIS integrated 117 power meters using a hybrid Modbus TCP/RTU architecture, supported by Node-RED middleware and a PostgreSQL time-series database for real-time data acquisition and centralized monitoring. System performance was evaluated using Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE), while user acceptance was assessed using the Technology Acceptance Model (TAM) involving 23 respondents. The findings indicate that the implementation of EIS reduced energy data discrepancies from an average of 6.75% during the anomaly phase to 2.0% after stabilization, representing an improvement of approximately 70%. In addition, monthly reporting time decreased from 14 hours to 2.83 hours, improving reporting efficiency by approximately 80%. TAM analysis shows that Perceived Ease of Use significantly influences Perceived Usefulness, indicating the importance of system usability in industrial adoption. The study implies that Modbus TCP-based EIS provides an effective solution for enhancing energy data accuracy, operational efficiency, and data-driven energy management in industrial settings]]>
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