Automatic Depuration System for Green Mussels (Perna viridis) to Support Food Safety

Syah, Syalahuddin Abdul Aziz (2024) Automatic Depuration System for Green Mussels (Perna viridis) to Support Food Safety. Jambura Journal of Electrical and Electronics Engineering, 7 (1). pp. 1-10. ISSN 27150887

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Abstract

The high content of heavy metals in green mussels necessitates the development of an effective depuration system. Automation of the depuration system becomes a crucial solution to optimize efficiency and effectiveness, both in terms of natural and human resource utilization. This research aims to develop an automated depuration system using an ESP-32 microcontroller integrated with digital filters EMA (Exponential Moving Average) and LPF (Low Pass Filter) to enhance sensor reading stability. The monitored water quality parameters include temperature (DS18B20), pH (4502C), TDS (V1.0), and salinity. Measurement data is displayed in real-time through LCD I2C and stored in an SD Card for continuous recording. System testing was conducted for 24 hours, focusing on sensor performance evaluation and pump activity. The results showed that the automated depuration system operated according to the set parameters without deviation. The sensors demonstrated high accuracy with low error percentages: temperature (0.34%), pH (2.02%), TDS (0.91%), and salinity (5.92%). Implementation of this system resulted in a high mussel survival rate of 95%, proving its effectiveness in the green mussel depuration process.

Item Type:	Article
Uncontrolled Keywords:	Green Mussels; Automatic Depuration; Water Quality; Recirculation Filtration
Subjects:	Engineering > Electronical Engineering Engineering
Divisions:	Faculty of Engineering > Electronical Engineering Study Program
Depositing User:	Syalahuddin Abdul Aziz Syah
Date Deposited:	07 Mar 2025 07:43
Last Modified:	07 Mar 2025 07:43
URI:	http://eprints.umg.ac.id/id/eprint/13071

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