Handy Wicaksono

Pengembangan Sistem Penyaringan Air Otomatis Berbasis Internet of Things

Introduction

Pengembangan sistem penyaringan air otomatis berbasis internet of things. Sistem penyaringan air otomatis berbasis IoT dirancang untuk memantau pergerakan & notifikasi error. Menggunakan PLC Siemens, Schneider & Raspberry Pi, sistem ini mengirim peringatan kurang dari 1 menit ke MySQL.

Abstract

Sistem penyaringan air otomatis telah dirancang untuk memonitor pergerakan sistem via internet dan memberikan notifikasi kepada petugas jika sistem dalam keadaan error. Kontroler yang digunakan ialah PLC Siemens S7-1200 dan PLC Schneider M221. Raspberrry Pi 4 digunakan sebagai IoT gateway dengan Node-RED sebagai tool untuk integrasi berbagai komponen sistem IoT. Berdasarkan hasil pengujian, sistem telah berjalan sesuai dengan alur program yang dibuat. Jika salah satu bagian dari sistem tidak menyala atau aliran air tidak terdeteksi, maka sistem akan mengirim notifikasi dengan waktu kurang dari 1 menit. Sistem dapat menyimpan waktu dan tanggal terjadinya error ke database MySQL.

Review

The article, "Pengembangan Sistem Penyaringan Air Otomatis Berbasis Internet of Things," addresses a highly relevant and practical issue: the automation and remote monitoring of water filtration systems. The abstract clearly outlines the development of an IoT-enabled system designed to enhance the reliability and responsiveness of water treatment by providing automatic error detection and notification. This approach, leveraging modern industrial and IoT technologies, shows considerable promise for improving operational efficiency and proactive maintenance in environments requiring consistent water quality and continuous system oversight. A key strength of the proposed system lies in its robust technical architecture, which seamlessly integrates industrial-grade PLCs (Siemens S7-1200 and Schneider M221) with a Raspberry Pi 4 as an IoT gateway, orchestrated via Node-RED for data integration. The system's core functionality—monitoring system status and water flow, providing rapid error notifications (stated to be under 1 minute), and logging error events with timestamps into a MySQL database—highlights a well-conceived design for real-world application. This combination of industrial control with IoT capabilities offers a practical solution for real-time problem detection and data-driven maintenance planning. While the abstract presents a compelling overview, a more comprehensive journal submission would greatly benefit from deeper elaboration on several critical aspects. Crucially, the paper should detail the specific type of water being filtered and the filtration mechanisms employed, as these details directly impact the system's applicability and performance claims. Furthermore, beyond the notification time, a rigorous quantitative evaluation of the system's overall performance metrics—such as system uptime, data accuracy, data latency for general monitoring, scalability, and long-term reliability under diverse operational conditions—would significantly strengthen the findings. Finally, a discussion on security considerations for the IoT communication, a comparative analysis with existing manual or semi-automated solutions, and an exploration of the system's energy consumption would further enhance its value and practical contribution.

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