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Water Temperature, Humidity and Ph Measuring Device to Maintain Plant Growth Using Fuzzy Logic Method


Alat Pengukur Suhu, Kelembaban dan Ph Air untuk Menjaga Pertumbuhan Tanaman Menggunakan Metode Fuzzy Logic

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DOI:

https://doi.org/10.21070/ups.4391

Keywords:

Automatic watering, plants, fuzzy logic, temperature, soil moisture, water pH, Arduino Uno microcontroller.

Abstract

It is important to maintain and take good care of plants so that they thrive. The process of watering plants is very important. Automation systems can help humans in many ways, such as watering plants. The author of this study created an idea about a tool that uses fuzzy logic to water plants automatically. Fuzzy logic is used to process temperature, soil moisture, and water pH, and produce a watering pattern that matches environmental conditions. Using an Arduino, temperature sensor, soil moisture sensor, and water pH sensor, this plant condition control device was created for this research. The system consists of two design stages: hardware and software design. The block diagram and wiring design are required in the hardware design, while the flowchart for the software design describes the method used. The purpose of this research is to develop a tool that uses fuzzy logic to automatically control plant conditions

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References

D. Kurniawan and A. Witanti, “Witanti (Prototype of Control and Monitor System with Fuzzy Logic Method for Smart Greenhouse),” 2021.

“ALAT PENYIRAM TANAMAN OTOMATIS DENGAN LOGIKA FUZZY BERBASIS ATMEGA16.”

D. Rahmawati, I. Febriana, and K. A. Wibisono, “S Simulasi Rancang Sistem Penyiraman Tanaman Berbasis Fuzzy Logic Control Pada Proteus Dan Matlab,” ALINIER: Journal of Artificial Intelligence & Applications, vol. 3, no. 2, pp. 22–27, Dec. 2022, doi: 10.36040/alinier.v3i2.5834.

“269207-monitoring-kelembaban-tanah-pertanian-me-fadb929a”.

“10477-33345-1-PB”.

H. Hariyadi, M. Kamil, and P. Ananda, “SISTEM PENGECEKAN PH AIR OTOMATIS MENGGUNAKAN SENSOR PH PROBE BERBASIS ARDUINO PADA SUMUR BOR,” Rang Teknik Journal, vol. 3, no. 2, pp. 340–346, Jun. 2020, doi: 10.31869/rtj.v3i2.1930.

A. Ekaprasetyo, W. Setyo Pambudi, M. Jurusan Teknik Elektro Institut Teknologi Adhi Tama Surabaya, and D. Jurusan Teknik Elektro Institut Teknologi Adhi Tama Surabaya, “Prototype Rancang Bangun Robot Penyiram Tanaman Otomatis Dengan Kendali Fuzzy,” Jurnal Ilmiah MATRIK, vol. 22, no. 1, 2020.

N. Anis and A. Setia Budi, “Sistem Penyiraman Tanaman Bawang Merah berdasarkan Kondisi Suhu Udara, Kelembapan Tanah, dan PH Tanah dengan Metode Logika Fuzzy,” 2023. [Online]. Available: http://j-ptiik.ub.ac.id

J. Jamaaluddin, E. Rosnawati, I. Anshory, I. Sulistiyowati, and S. Syahrorini, “The utilization of levelled fuzzy logic for more precision results,” in Journal of Physics: Conference Series, Institute of Physics Publishing, Dec. 2019. doi: 10.1088/1742-6596/1402/7/077037.

A. Roihan, A. Mardiansyah, A. Pratama, A. A. Pangestu, P. S. Komputer, and U. Raharja, “SIMULASI PENDETEKSI KELEMBABAN PADA TANAH MENGGUNAKAN SENSOR DHT22 DENGAN PROTEUS,” Jurnal METHODIKA, vol. 7, no. 1, 2021.

A. F. Rahmah, Dwi Sartika Simatupang, and Alun Sujjada, “Sistem Monitoring Dan Kontrol Tanaman Pada Greenhouse Berbasis Android Menggunakan Fuzzy Sugeno,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 4, no. 2, pp. 332–340, Aug. 2023, doi: 10.37859/coscitech.v4i2.5088.

“50-56”.

I. S. Nasution et al., “Embedded fuzzy logic for controlling pH and nutrition in hydroponic cultivation,” in IOP Conference Series: Earth and Environmental Science, Institute of Physics, 2023. doi: 10.1088/1755-1315/1183/1/012113.

J. Jamaaluddin, I. Robandi, I. Anshory, and A. Fudholi, “VERY SHORT-TERM LOAD FORECASTING OF PEAK LOAD TIME USING FUZZY TYPE-2 AND BIG BANG BIG CRUNCH (BBBC) ALGORITHM,” vol. 15, no. 7, 2020, [Online]. Available: www.arpnjournals.com

S. Bimo Mursalin and H. Sunardi, “Sistem Penyiraman Tanaman Otomatis Berbasis Sensor Kelembaban Tanah Menggunakan Logika Fuzzy”.

Posted

2024-04-04