MONITORING SYSTEM OF FISH POOL WATER TURBIDITY WITH ESP32 AND BLYNK

Antoni Pribadi, Indra Irawan, D. Senthil Kumar

Abstract


Technological developments in all aspects of life today are urgently needed, this can be seen from the many technologies that have replaced human jobs. As with the fish column at home, the work that is routinely done in the fish column is to replace the water in it if it is too cloudy so that it looks clean and creates good conditions for the development and health of the fish. Usually, fish farmers will make a schedule to check water quality and replace it. This work can sometimes take up time, especially when busyness increases and if you are late or forget to change the water in the pond, it can harm the condition of the fish in it. To help overcome this problem, equipment has been designed to monitor the turbidity level of the water that can be monitored from anywhere and at any time. This study aims to produce a tool that can monitor and control the condition of the level of water turbidity in fish ponds so that fish growth can be maximized. This monitoring is carried out regularly in real-time using IoT (Internet of Things) so that it can facilitate monitoring without the need to come directly to the pond location. This research succeeded in creating a monitoring system that can detect the turbidity of aquarium water using the ESP 32 tool and display on the Blynk application automatically in real-time.

Full Text:

PDF

References


D. S. Kumar, A. Askarunisa, and R. M. Kumar, “Embedded Processor Based Automated Assessment of Quality of The Water in an IoT Background,” Microprocess. Microsyst., vol. 77, p. 103167, 2020, doi: 10.1016/j.micpro.2020.103167.

M. A. Ikhsan, M. Yahya, and F. A. Fiolana, “Pendeteksi Kekeruhan Air Di Tandon Rumah Berbasis Arduino Uno,” J. Qua Tek., vol. 8, no. 2, pp. 17–29, 2018.

F. Recknagel, T. Petzoldt, O. Jaeke, and F. Krusche, “Hybrid Expert system DELAQUA - a Toolkit for Water Quality Control of Lakes and Reservoirs,” Ecol. Modell., vol. 71, pp. 17–36, 1994.

N. R. Faudzilla, “Pembuatan Alat Pendeteksi Kekeruhan Air Dengan Turbidity Sensor Berbasis Arduino Uno,” 2018.

I. G. P. M. Eka Putra, I. A. D. Giriantari, and L. Jasa, “Monitoring Penggunaan Daya listrik Sebagai Implementasi Internet of Things Berbasis Wireless Sensor Network,” Maj. Ilm. Teknol. Elektro, vol. 16, no. 3, p. 50, 2017, doi: 10.24843/mite.2017.v16i03p09.

F. Cholik, Artati, and R. Arifudin, “Pengelolaan Kualitas Air Kolam.”

N. H. Zakaria, F. A. Phang, and J. Pusppanathan, “Physics on the Go: A Mobile Computer-based Physics Laboratory for Learning Forces and Motion,” Int. J. Emerg. Technol. Learn., vol. 14, no. 24, pp. 167–183, 2019, doi: 10.3991/ijet.v14i24.12063.

M. Meisel, V. Pappas, and L. Zhang, “A Taxonomy of Biologically Inspired Research in Computer Networking,” Comput. Networks, vol. 54, no. 6, pp. 901–916, 2010, doi: 10.1016/j.comnet.2009.08.022.

S. de Assis Silva, R. O. dos Santos, D. M. de Queiroz, J. S. de Souza Lima, L. F. Pajehú, and C. C. Medauar, “Apparent Soil Electrical Conductivity in the Delineation of Management Zones for Cocoa Cultivation,” Inf. Process. Agric., vol. 9, no. 3, pp. 443–455, 2022, doi: 10.1016/j.inpa.2021.04.004.

A. M. Gómez-Orellana, D. Guijo-Rubio, P. A. Gutiérrez, and C. Hervás-Martínez, “Simultaneous Short-term Significant Wave Height and Energy Flux Prediction Using Zonal Multi-task Evolutionary Artificial Neural Networks,” Renew. Energy, vol. 184, pp. 975–989, 2022, doi: 10.1016/j.renene.2021.11.122.

A. Bahtiar, B. Supeno, and M. A. P. Negara, “Rancang Bangun Pengontrol Suhu dan Kekeruhan Air Kolam Ikan Patin Berbasis Fuzzy Logic,” J. Arus Elektro Indones., vol. 2, no. 3, pp. 7–12, 2016.

A. Indriani, Y. Witanto, S. Supriyadi, and H. Hendra, “Sistem Kontrol Kekeruhan Dan Temperatur Air Laut Menggunakan Microcontroller Arduino Mega,” J. Tek. Mesin, vol. 6, no. 3, p. 158, 2017, doi: 10.22441/jtm.v6i3.1830.

B. Dharmadhas and S. Sampath Kumar, “Application of IOT based automated smart water quality recording in aquaculture system-An evaluation and analysis,” GRADIVA Rev. J., vol. 8, no. 12, 2022, [Online]. Available: https://www.researchgate.net/publication/366963771.

A. Novitasari, “Rancang bangun alat penggantian air dan pemberian pakan secara otomatis pada akuarium ikan hias berbasis mikrokontroler,” 2017.

R. N. Hidayat, “Perancangan Sistem Deteksi Kekeruhan Air Pada Akuarium Ikan Arwana Berbasis IoT,” KONSTELASI Konvergensi Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 391–401, 2021, doi: 10.24002/konstelasi.v1i2.4260.

Marisal and Mulyadi, “Rancang Bangun Alat Pemberi Pakan Ikan Otomatis Berbasis Android,” vol. 2, pp. 51–54, 2020.




DOI: http://dx.doi.org/10.24042/aisj.v2i1.18166

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Antoni Pribadi

License URL: https://creativecommons.org/licenses/by-sa/4.0

Office and Secretariat:

The Office of AISJ, Faculty of Science and Technology's Building (2nd Floor)

Universitas Islam Negeri Raden Intan Lampung, Indonesia. Endro Suratmin Street, No.1 Sukarame Bandar Lampung. Postal Code: 35131
Email: aisj@radenintan.ac.id
e-Journal: http://ejournal.radenintan.ac.id/index.php/AISJ/index

Asia Information System Journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Published By Universitas Islam Negeri Raden Intan Lampung. e-ISSN 2963-8593

 

Journal Indexing:

ISSN | Google Scholar | Garuda | ROAD | PKP Index | BASE | ESJI | General Impact Factor | Moraref | One Search | Cite Factor | Crossref | WorldCat | Neliti  | SINTA | Dimensions | ICI Index Copernicus

 

 

Contact Admin :