Metode Peningkatan Akurasi pada Sensor TDS Berbasis Arduino untuk Nutrisi Air Menggunakan Regresi Linier

Dhodit Rengga Tisna; Berlian Juliartha Martin Putra; Tamara Maharani; Hasnira Hasnira

doi:10.30871/ji.v14i1.3906

Penulis

Dhodit Rengga Tisna Akademi Komunitas Negeri Pacitan
Berlian Juliartha Martin Putra Akademi Komunitas Negeri Pacitan
Tamara Maharani Akademi Komunitas Negeri Pacitan
Hasnira Hasnira Politeknik Negeri Batam

DOI:

https://doi.org/10.30871/ji.v14i1.3906

Kata Kunci:

TDS, Regresi, Arduino UNO, Sensor

Abstrak

Kualitas air memegang peranan penting dalam bidang budidaya perikanan. Faktor yang menentukan kualitas air salah satunya adalah kadar TDS (Total Disolved Solid). Oleh karena itu dibutuhkan TDS meter yang memiliki akurasi yang presisi agar mampu mengukur kualitas berbagai jenis air secara akurat. Dalam penelitian ini mengembangkan protype yang mampu mengukur kadar TDS dalam air. Prototype ini terdiri atas perangkat sensor TDS, Arduino UNO dan LCD untuk menampilkan hasil pembacaan kualitas air yang diukur. Supaya akurasi yang dibaca prototype mampu mengimbangi TDS meter komersil, maka peneliti menggunakan algoritma regresi linier untuk dimasukkan ke dalam program program TDS Arduino. Hasil dari eksperimen menunjukkan akurasi prototype TDS yang semula 77% naik menjadi 98.3% hampir mendekati presisi dengan TDS meter komersil pada umumunya.

Unduhan

Data unduhan belum tersedia.

Referensi

Y. Irawan, A. Febriani, R. Wahyuni, and Y. Devis, "Water quality measurement and filtering tools using Arduino Uno, PH sensor and TDS meter sensor," J. Robot. Control, vol. 2, no. 5, pp. 357"“362, 2021, doi: 10.18196/jrc.25107.

B. Chen, "An Effective Construction Pattern of Wireless Sensor Network for Water Quality Detection," 2019 5th Int. Conf. Big Data Inf. Anal., pp. 84"“91, 2019.

M. K. Ganeshan, "New Agriculture Technology in Modern Farming," no. September, 2021, doi: 10.30726/ijmrss/v8.i3.2021.83016.

R. S. R. Mayavan, R. Jeganath, and V. Chamundeeswari, "Automated Hydroponic System for Deep Water Culture To Grow Tomato Using Atmega328," no. 8, pp. 27"“32, 2017.

"An Optimization Scheme for Water Pump Control in Smart Fish Farm with Efï¬cient Energy Consumption-translate.pdf." .

Z. Shareef, "Design and wireless sensor Network Analysis of Water Quality Monitoring System for Aquaculture," 2019 3rd Int. Conf. Comput. Methodol. Commun., no. Iccmc, pp. 405"“408, 2019.

D. R. Tisna, M. Udin Harun Al Rasyid, and S. Sukaridhoto, "AT-Mo: Wireless Data Collection System for Physiology Monitoring of Athlete," IES 2019 - Int. Electron. Symp. Role Techno-Intelligence Creat. an Open Energy Syst. Towar. Energy Democr. Proc., pp. 115"“119, 2019, doi: 10.1109/ELECSYM.2019.8901635.

R. A. Koestoer, Y. A. Saleh, I. Roihan, and Harinaldi, "A simple method for calibration of temperature sensor DS18B20 waterproof in oil bath based on Arduino data acquisition system," AIP Conf. Proc., vol. 2062, 2019, doi: 10.1063/1.5086553.

S. K. Verma, M. Rajesh, and R. Vincent, "Smart-farming using internet of things," J. Comput. Theor. Nanosci., vol. 17, no. 1, pp. 172"“176, 2020, doi: 10.1166/jctn.2020.8646.

D. Pant, A. Bhatt, M. Khan, O. P. Nautiyal, and P. Adhikari, "Automated IoT based Smart Water Quality Assessment System," Proc. 2019 8th Int. Conf. Syst. Model. Adv. Res. Trends, SMART 2019, pp. 98"“104, 2020, doi: 10.1109/SMART46866.2019.9117271.

A. G. Menon and P. Menon, "Automated Water Quality Monitoring IOT System for Small-scale Aquaculture Farms," J. Comput. Eng. Inf. Technol., vol. 9, no. 5, pp. 3"“8, 2020, doi: 10.37532/jceit.2020.9(3).239.

M. Badura, P. Batog, A. Drzeniecka-Osiadacz, and P. Modzel, "Regression methods in the calibration of low-cost sensors for ambient particulate matter measurements," SN Appl. Sci., vol. 1, no. 6, pp. 1"“11, 2019, doi: 10.1007/s42452-019-0630-1.

S. Hayder and B. H. Khudair, "Water Quality Assessment and Total Dissolved Solids Prediction," no. December, 2019.

T. Maharani, M. A. Zainuddin, and S. Sukaridhoto, "Brightness on LEDs for Light Fidelity Applications and Measurements," 2019 Int. Electron. Symp., pp. 53"“57, 2019.

M. Zainuddin, L. Politeknik, and N. Batam, "Desain dan Uji Coba Sederhana Pada Obstacle Avoiding Robot Menggunakan Mikrokontroler Arduino," Jagi, vol. 2, no. 1, p. 1, 2018, [Online]. Available: http://jurnal.polibatam.ac.id/index.php/JAGI/announcement/view/14Viewproject.

L. Hakim and B. Manurung, "Design and analytical simulation of heart rate measurement and human body temperature with linear regression approach," AIP Conf. Proc., vol. 2221, no. March, 2020, doi: 10.1063/5.0003189.