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Implementation of Digester Machine Automation Using an Arduino Uno and Multisensing Sensors to Improve Crude Palm Oil Production Efficiency Maharani, Putri; Alfisyahrin, A; Syukriyadin, S
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 2 (2025): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i2.127

Abstract

The production of crude palm oil was highly dependent on the operational efficiency of the digester unit, in which improper control of temperature, material level, and stirring speed often resulted in reduced productivity and unstable operating conditions. This study aimed to address these issues by developing an automated control system to improve digester performance through integrated sensing and motor control. An automation system based on a microcontroller was designed and simulated using multisensing technology, including temperature monitoring within an optimal range of 90–95 °C, material level detection with a minimum threshold of 75%, and direct current motor speed regulation through a motor driver module. System logic and operational behavior were evaluated using Proteus simulation software prior to hardware implementation. The simulation results showed that the proposed system was able to automatically stop the digester motor when the operating temperature exceeded 95 °C or when the material level dropped below the predefined threshold, thereby preventing unsafe operating conditions and potential equipment damage. The automated response ensured more stable digester operation and reduced the risk of process inefficiencies. The overall findings indicated that the proposed low-cost automation system effectively enhanced process control and operational reliability. Furthermore, the implementation of this system demonstrated a potential improvement in production efficiency of approximately 20–30%. These results confirmed that microcontroller-based automation with multisensing integration provided a practical and efficient solution for optimizing digester operations in crude palm oil processing plants.
Experimental Study of Active Noise Control on The Motor of A UAV Aircraft Noise Vibration Centre Using A DLE Gas Engine 30 Alfisyahrin, A; Isranuri, Ikhwansyah; Syukriyadin, S; Habiburrahman, H
Journal of Emerging Supply Chain, Clean Energy, and Process Engineering Vol 4 No 2 (2025): Journal of Emerging Supply Chain, Clean Energy and Process Engineering
Publisher : Universitas Pertamina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57102/jescee.v4i2.132

Abstract

Abstrak—The noise that occurs at the USU UAV Noise and Vibration Center ranges between 90-100 dB. The engine used is a 2-stroke engine which certainly has high noise. The engine drive motor determines the high rotation and contributes to the noise. The method used to reduce noise is ANC. ANC in this study focused only on the drive motor. The results obtained are after comparing the noise before using ANC and after using ANC. The noise reduction obtained is at a rotation of 3000 rpm with a distance of 1.25 m of 1.36 dB.