Track: Modeling and Simulation

Abstract

The palm oil industry is one of Indonesia's most important industries, contributing a significant portion of the country's non-oil and gas exports, which is growing every year. Palm oil's selling price is impacted by its quality, which is maintained by continuous monitoring of the production process in order to ensure that the oil fulfills the required quality requirements. Until now, the palm oil companies are still experiencing difficulties in monitoring the quality of palm oil in the storage process. The goal of this research is to find the best possible Internet of Things (IoT) technology that could be employed inside the palm oil mill monitoring process while considering the Internet of Things' criteria. IoT to monitoring processes could help the company monitor palm oil condition with less oversight, increase leads to an overall with actual proof of outcomes, and promptly includes recommendations discrepancies. To weight the factors for deploying monitoring technology, the Best Worst Method (BWM) was employed. Any proposed monitoring technology in palm oil mills has been rated using the Complex Proportional Assessment Method (COPRAS). The final result is that SCADA is chosen based on the criterion of Internet of Things implementation.