Purpose – Crude Palm Oil (CPO) distribution using tanker trucks faces challenges including delayed reporting, limited visibility, and potential cargo losses due to leakage or human error. This study develops an IoT-based dashboard for real-time monitoring and threshold-triggered leakage alerting during CPO distribution.
Methods – A prototype was developed and tested in a controlled laboratory-scale environment. The system integrated an ESP32 microcontroller with a YF-S201 flow sensor, HC-SR04 ultrasonic level sensor, and NEO-6M GPS module. Sensor data were transmitted via MQTT, visualized on a web dashboard, and stored in a Supabase cloud database for historical tracking and operational review.
Findings – Testing showed average error rates of 2.48% for the flow sensor and 2.67% for the ultrasonic level sensor. The GPS module captured location data across all test points. The system supported four simulated distribution phases: Loading, Transportation, Unloading, and Completed. During Transportation, a leakage alert was generated when outward flow was detected, confirming that the rule-based alert mechanism operated according to predefined logic.
Research Implications – The system offers a prototype framework for improving transparency, traceability, and operational monitoring in CPO logistics. However, field validation using industrial-grade sensors and full-scale tanker truck deployment is required.
Originality – This study integrates flow monitoring, tank level measurement, GPS tracking, cloud storage, and rule-based leakage alerting in a single IoT dashboard for CPO tank truck distribution.
Abud Jabidi, Andi Prayogi, Muhammad Akbar Syahbana Pane· Journal of Digital Technolog...· 0 citations
Warehouse management in oil palm plantations still faces challenges including manual recording that is prone to errors, inventory data discrepancies, and limited internet connectivity in remote areas. This study aims to design and develop a Warehouse Management Information System using a hybrid approach that supports offline and online operations, implement a data synchronization mechanism between local storage and the main database, and improve operational efficiency and inventory accuracy in oil palm plantation environments. The Research and Development (R&D) method with a Prototype approach was employed. The system was developed using Flutter as the frontend framework, Laravel as the backend and API, SQLite as the local device database, and MySQL as the main server database. Testing was conducted using the Blackbox Testing method with 46 test scenarios covering eight functional modules. The results show a 100% success rate across all functional test scenarios. The system operates in hybrid mode, automatically synchronizes data via a push-pull mechanism using UUID as an idempotency key, and provides inventory management features including item master data, goods receipt, goods issuance, stock opname, multi-level approval, digital reporting (PDF and Excel), and activity logs. The system has been proven to improve operational efficiency by eliminating redundant recording processes and enabling remote digital approvals, and to enhance inventory accuracy through automatic input validation, duplicate data prevention, and a structured audit trail.
Ready Perdana, Ratu Mutiara Siregar, Andi Prayogi· Rabit : Jurnal Teknologi dan...· 0 citations
