Penerapan Sistem Programmable Logic Controler (PLC) untuk Monitoring Kualitas Air Limbah Laboratorium Kimia Hasil Pengolahan

Authors

  • Deny Saputra Fakultas Adab dan Humaniora UIN Syarif Hidayatullah Jakarta
  • Muhammad Yusuf Integrated Laboratory Centre, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta, Jl. Ir. H. Juanda No. 95 Ciputat Tangerang Selatan 15412, Indonesia
  • Adawiah Adawiah Integrated Laboratory Centre, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta, Jl. Ir. H. Juanda No. 95 Ciputat Tangerang Selatan 15412, Indonesia
  • Khoerunissa Novianti Rosalina Universitas Indonesia

DOI:

https://doi.org/10.32493/jiup.v10i1.47584

Keywords:

pH, Progarammable Logic Controller, turbidity, wastewater

Abstract

Chemical laboratory wastewater contains hazardous compounds such as carcinogenic, toxic, and difficult-to-degrade substances, which can have a negative impact on the environment and human health. Therefore, the wastewater needs to be treated first before being discharged into the environment through the Waste Water Treatment Plant (WWTP) system. This research aims to develop and evaluate a Programmable Logic Controller (PLC)-based automatic wastewater quality monitoring system, focusing on two main parameters, namely pH value and turbidity. The system utilizes a pH sensor (SKU: SEN0161) and a turbidity sensor (SEN0189), whose measurement results are displayed in real-time through a Human Machine Interface (HMI). The main contribution of this research is the implementation of a PLC-based automatic monitoring system integrated with environmental sensors and HMI, which has been proven to replace manual laboratory testing more efficiently. The test results showed that the pH value of the treated wastewater was 6.00, in accordance with the quality standards of Permen LHK No. 68 of 2016 (range 6-9). The turbidity value was recorded at 27 NTU, close to the threshold set by Permenkes No. 32 Year 2017, which is a maximum of 25 NTU. Although the turbidity result slightly exceeds the threshold, the system still provides accurate and fast detection. A comparison with laboratory results showed that the PLC-based system provided results that were not significantly different quantitatively but more efficient in terms of response time and continuous monitoring. The system has the potential to be widely applied in laboratory wastewater management, which requires continuous and automated monitoring.

References

Agarwal, V., Mehta, S., & Patel, H. (2020). Real-time monitoring and control of pH in industrial processes using PLC and SCADA. International Journal of Engineering Research & Technology (IJERT), 9(5), 1–6.

Alonso, M., Rodríguez, P., & Domínguez, D. (2020). Human–Machine Interfaces in Industry 4.0: A Review of Technologies and Trends. Journal of Industrial Information Integration, 18, 100125. https://doi.org/10.1016/j.jii.2020.100125

Bolton, W. (2015). Programmable Logic Controllers (6th ed.). Newnes.

Chaitra, K., & Shree, P. (2020). Kontrol pH pada Instalasi Pengolahan Air Limbah Menggunakan PLC. International Journal of Technical Science and Research Development, 9(3), 87-94

De Coste, J.B., & Peterson, G.W. (2014). Metal-Organic Frameworks for Air Purification of Toxic Chemicals. Chem. Rev., 114, 5695–5727. https://doi.org/10.1021/cr4006473

Franklin, G. F., Powell, J. D., & Emami-Naeini, A. (2015). Feedback Control of Dynamic Systems (7th ed.). Pearson.

Hendra, Indriani, A., Hernadewita, & Rizal, Y. (2016). Assembly Programmable Logic Control (PLC) in the Rotary Dryer Machine for Processing Waste Liquid System. Applied Mechanics and Materials, 842, 319-323.https://doi.org/10.4028/www.scientific.net/AMM.842.319

Hendra, Yulianto, A.S., Indriani, A., Hernadewita, & Hermiyetti. (2018). Control Systems of Rubber Dryer Machinery Components using Programmable Logic Control (PLC). IOP Conference Series: Materials Science and Engineering, 307, 012-021. https://doi.org/10.1088/1757-899X/307/1/012021.

Kim, J., Lee, D., & Choi, S. (2021). Integration of HMI with smart sensors for adaptive process control in water treatment systems. Sensors, 21(8), 2714. https://doi.org/10.3390/s21082714

Langmann, R., & Stiller, M. (2019). The PLC as a Smart Service in Industry 4.0 Production Systems. Appl. Sci., 9(18), 1-20. https://doi.org/10.3390/app9183815

Lellis, B., Fávaro-Polonio, C.Z., Pamphile, J.A., & Polonio, J.C. (2019). Effects of Textile Dyes on Health and The Environment and Bioremediation Potential of Living Organisms. Biotechnol. Res. Innov., 3(2), 275–290. https://doi.org/10.1016/j.biori.2019.09.001

Moorthy, A.K., Rathi, B.G., Shukla, S.P., Kumar, K., & Bharti, V.S. (2020). Acute toxicity of textile dye Methylene blue on growth and metabolism of selected freshwater microalgae. Environ. Toxicology and Pharmacology., 82, 103552. https://doi.org/10.1016/j.etap.2020.103552

Petruzella, F. D. (2010). Programmable Logic Controllers (4th ed.). McGraw-Hill Education.

Prasetyo, D., Yuliana, S., & Setiawan, A. (2018). Desain Sistem Kontrol Kualitas Air pada Otomatisasi Kincir Air dan Penggantian Air Tambak Udang. Jurnal Teknik Kimia Indonesia, 3(1), 45-53.

Rahmani, M., Naderpour, M., & Lu, J. (2022). A Framework for Intelligent Human-Machine Interaction in Cyber-Physical Systems. Computers & Industrial Engineering, 171, 108426. https://doi.org/10.1016/j.cie.2022.108426

Santos, F. R., Souza, D. G., & Silva, M. F. (2021). Designing Flexible HMIs for Industrial Automation: Integration with SCADA and PLC Systems. International Journal of Automation and Smart Technology, 11(1), 1–9. https://doi.org/10.5875/ijast.2021.11.1.1

Sari, A. R., & Hidayat, W. (2020). Rancang Bangun Sistem Kendali dan Monitoring Pengolahan Air Limbah Berbasis PLC. Jurnal Teknologi, 5(2), 102-108.

Sari, M. I., & Yudha, P. (2021). Sistem Pengolahan Air Limbah Hotel Berbasis Kontrol PLC. Jurnal Teknik Lingkungan, 4(2), 121-130.

Susanto, A., & Sunomo. (2017). Modul Programmable Logic Controller (PLC) Berbasis Arduino Severino. Jurnal Edukasi Elektro, 1(2), 99-109. https://doi.org/10.21831/jee.v1i2.17413

Zhang, Y., Li, H., & Liu, J. (2022). Design and implementation of a smart pH monitoring system based on industrial IoT. Journal of Industrial Information Integration, 27, 100289. https://doi.org/10.1016/j.jii.2021.100289

Downloads

Published

2025-03-30