Utilization of tds sensors for water quality monitoring and water filtering of carp pools using IoT

Author:

Sulistiyanto ORCID,Setyobudi RanuORCID,Tijaniyah ORCID

Abstract

Carp is a type of consumption fish that is much favored by people in Indonesia, because Carp has a lot of protein and meat with good taste. In addition, Carp can be cultivated using tarpaulin ponds, because it saves land and land rental costs. In addition, Carp can be harvested in just 7 months. According to carp cultivators, market demand tends to increase every day, making the need for carp increase and causing Indonesian people to cultivate carp. In this case, it is necessary to apply technology that can help the community in the field of aquaculture, which can be controlled remotely and can monitor the condition of the water in the ponds. The purpose of this study is to find out how pool water filtration works and monitor water conditions using a Total Dissolved Solids (TDS) sensor. The selection of sensor inputs and set point values must be in accordance with the water quality conditions in the Carp pond. The use of the TDS sensor here functions as a detector for turbidity values in Carp ponds that have been set on the NodeMCU ESP32, a submersible water pump as output and the Blynk application as monitoring. The method used, Literature Study, Research Design, Field Study, Functional Testing, Data Processing, Analysis. Because it uses Internet of Thing (IoT) technology in this study, the monitoring and filtering control process can be done anywhere and anytime as long as it is connected to the internet network. From the results of testing the tool on 3 types of water, namely mineral water, clean water, and turbid water, the results for turbid water with 400–600 ppm turned out to be 479 ppm, the value is in the middle between 478 ppm mineral water and 480 ppm clean water. So it can be concluded that this tool works well and can be used in Carp ponds

Publisher

OU Scientific Route

Subject

General Physics and Astronomy,General Engineering

Reference15 articles.

1. Cholilulloh, M., Syauqy, D., Tibyani (2017). Implementation of the Fuzzy Method on Water Quality in Seed Mas Pools Based on Temperature and Turbidity. Journal of Information Technology Development and Computer Science, 2 (5), 1813–1822.

2. Ezetoha, F. C., Opara, F. K., Chukwuchekwa, N., Akande, A. O., Anyalewechi, C. J. (2023). Automation System For Optimum Water Quality Maintenance In Tropical Fish Culture. International Journal of Engineering and Environmental Sciences, 6 (1), 32–41. doi: https://doi.org/10.5281/zenodo.8024681

3. Deni, L., Sigiro, M., Sinurat, B., Siahaan, B., Siahaan, C. (2016). Design of a water quality monitoring system. Information Technology National Seminar. Del Institute of Technology. Medan, 159–195.

4. Siskandar, R., Santosa, S. H., Wiyoto, W., Kusumah, B. R., Hidayat, A. P. (2022). Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model. Jurnal Ilmu Pertanian Indonesia, 27 (1). doi: https://doi.org/10.18343/jipi.27.1.141

5. Haikal, M. A. (2019). Quality Analysis of Refillable Drinking Water Detection Equipment with Boiled Water Based on PH Sensors and TDS Sensors. Medan: Panca Budi Development University Medan.

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