Internet of Things (IoT) Enabled Filtration System for Accelerated Struvite Fertilizer Production

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Sarah Nada Jinan, Maya Fitria, Daffa Hirta Adharani, Ilham Maulana, Cut Nurul Faizah, Hendrik Leo, Hisbullah, Teuku Mukhriza, Rahmad Dawood

2025 2025 9th International Conference on Electrical, Electronics and Information Engineering, ICEEIE 2025 Conference paper Cited by 0 Quartile

Abstract

Struvite is an environmentally friendly phosphate fertilizer, but its production is constrained by a time-consuming and inefficient manual filtration process. This study proposes an automated filtration system based on the Internet of Things (IoT) to overcome this limitation. The system was constructed using an ESP32 microcontroller, a load cell sensor, a vacuum pump, and the AWS IoT Core platform to enable real-time monitoring and control. Performance testing showed the system could filter 2,000 grams of solution in 5 minutes, a vast improvement over the 2 4-hour manual process (representing a 99.56% reduction in filtration time). Furthermore, the phosphate content of the automatically filtered product (0.4573 mg / L) was found to be statistically comparable to the manual result (0.5982 mg / L). The proposed IoT-based system offers a significant increase in time efficiency and process monitoring without affecting quality, presenting a viable solution for future industrial-scale applications in smart agriculture. © 2025 IEEE.

Affiliations

Universitas Syiah Kuala, Electrical and Computer Engineering, Banda Aceh, Indonesia; Universitas Syiah Kuala, Electrical and Computer Engineering Interactive Intelligent System Research Group, Banda Aceh, Indonesia; Universitas Syiah Kuala, Chemical Engineering, Banda Aceh, Indonesia

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