Measuring Water Content in Hydroponic Plants Based on PH Values and Nutriens Using Fuzzy Logic Microcontroller Based Tsukamoto

Miranda  Julianti; Rakhmat Kurniawan R

doi:10.47709/cnahpc.v6i4.4764

Authors

Miranda Julianti State Islamic University of North Sumatra Medan
Rakhmat Kurniawan R State Islamic University of North Sumatra Medan

DOI:

10.47709/cnahpc.v6i4.4764

Keywords:

Hydroponics, Fuzzy Tsukamoto, ESP8266 Microcontroller, TDS, NFT

Dimension Badge Record

Abstract

Hydroponic cultivation is a method of planting without soil by utilizing water containing nutrients and oxygen at certain levels. Regulation and monitoring of pH, nutrients (TDS), and water temperature are crucial factors in the success of a hydroponic system. Inaccuracies in nutrient water management can significantly affect plant growth. This study aims to design an automation system capable of monitoring pH and water nutrient levels using the Fuzzy Tsukamoto method based on the Nodemcu ESP32 microcontroller. The sensors used in this study are the MSP340 pH Module sensor to measure acidity (pH) and the Df Robot Module TDS sensor to detect nutrient levels in water. The Fuzzy Tsukamoto method is applied to make fuzzy logic-based decision-making, where the input values of pH and nutrients are converted into linguistic variables. The fuzzyfication process is carried out to determine the level of plant fertility, while the inference method is used to produce output based on previously set rules. This monitoring system also utilizes the Nutrient Film Technique (NFT) technique with a linear regression method to optimize the use of water pumps, making it more energy efficient. With the design of this system, hydroponic farmers can monitor water conditions automatically and in real-time, increasing efficiency and reducing human error in nutrient water management. The results of this study are expected to provide innovative solutions for the development of more efficient and sustainable hydroponic systems.

Downloads

Download data is not yet available.

Google Scholar Cite Analysis
Abstract viewed = 37 times

References

Apriani, F. 2017. Modeling of Per Capita Expenditure Using Small Area Estimation with Semiparametric Penalized Spline Approach . Thesis. ( unpublished ). Surabaya: FMIPA. Sepuluh Nopember Institute of Technology

Arif, S., Dewi, H., Untari, N, Z. (2023). The Tsukamoto Fuzzy Method for Predicting the Availability Status of Goods Inventory Based on Identification with RFID Technology. 10.21070/jeeeu.v7i1.1644

Anpo, M., Fukuda, H., Wada, T. (2019). Semi Plant- Factory Room Using Artificial Light. ISBN: 978-0-12- 813973-8, Elsevier Book Inc

Bakriansyah, A., Daud, M., Taufiq, T., & Asran, A. (2023). Prototype of Automatic Monitoring and Control System for Water Supply, Acidity, and Nutrition in Internet of Things Based DFT Hydroponics. MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering, 5(2), 339-350. https://doi.org/10.46574/motivection.v5i2.235

D. Pancawati and A. Yulianto, “Implementasi Fuzzy Logic Controller untuk Mengatur Ph Nutrisi pada Sistem Hidroponik Nutrient Film Technique (NFT),” J. Nas. Tek. Elektro, vol. 5, no. 2, pp. 278–289, 2016.

Daud, M., V. Handika, and A. Bintoro, (2018). Design and Realization of Fuzzy Logic Control for Ebb and Flow Hydroponic Systems, Int. J. Sci. Technol. Res., vol. 7, no. 9

Dewi, IZT, Ulinuha, MF, Mustofa, WA, Kurniawan, A., & Rakhmadi, FA (2021). Smart Farming: Integrated Hydroponic Plant System IoT MQTT Panel Based on Android. Journal of Tropical Agricultural Engineering and Biosystems, 9(1), 71–78.

Efendi, E., Harahap, A. ., Sitorus, Z. ., Hutapea, AA ., & Ardyansyah, F . . (2023). Application of Hydroponic Technology and Budikdamber in Supporting Food Security in Punggulan Village, Air Joman District. Journal Of Human And Education (JAHE) , 3 (2), 244–251. https://doi.org/10.31004/jh.v3i1.206

Furqan, M., Muhammad Ikhsan, Abdul Halim Hasugian, & Muhammad Ridzki Hasibuan. (2021). Application Of Security System Of Motorcycle Used Fingerprint Optical Sensor And Vibration Sensor With Fuzzy Logic Based On Arduino Uno R3. INFOKUM , 10 (1), 385-391.

Helman , Z . (2021) . Prototype of Raspberry Pi-Based Air Quality Monitoring System. Spektral, 2 (2), 58–63.

Kusumadewi, Sri and Purnomo Hari. 2010, “Application of Fuzzy Logic ”, First Edition, Graham Ilmu, Yogyakarta.

Nalwanga, Rosemary., and Belay, Ayalew. 2022. Fuzzy Logic based Vegetable Price prediction in IoT. Procedia Computer Science 203 (2022) 807-812, doi.org/10.1016/j.procs.2022.07.121

Nassiri, S.M., Tahavoor, A., and Jafari, A. (2021). Fuzzy logic classification of mature tomatoes based on physical properties fusion. Journal of Information Processing in Agriculture, doi.org/10/1016/j.inpa.2021.09.001

Nazava ( 2016). “TDS in Drinking Water - Nazava.” https://www.nazava.com/tds-dalam-airminum/ (accessed Sep. 06, 2023)

Ngafifuddin, M., Sunarno, S., & Susilo, S. (2017). Application Of Arduino -Based Ph Meter Design On X-Ray Radiography Film Washing Machine. Journal of Basic Science , 6 (1), 66. https:// doi.org/10.21831/jsd.v6i1.14081

Oktareza, Sarnia Rizki .& Rahayu, Y. (2015). Simulation of Railway Crossing Gate Security System using LabVIEW. Jom FTEKNIK, 2(2), 1–12

Rakhmat Kurniawan R, Muhammad Siddik Hasibuan, & Ivan Prayuda. (2022). Automatic Fish Sorter With Microcontroller Based Sugeno Fuzzy Logic. Infokum , 10 (03), 85-92. Retrieved from http://infor.seaninstitute.org/index.php/infokum/article/view/583

R. Rosdiana, A. Hasibuan, A. Chairani, M. Daud, and M. Sayuti, (2022) "Stress Diagnosis System Using Fuzzy Logic Method," Motiv. J. Mech. Electr. Ind. Eng. , vol . 4 , no . 3 , pp . 355–366.

Rinaldi, Munir (2018). Algorithms & Programming in Pascal and C Languages, Revised Edition, Rinaldi Munir, Informatika Publisher

Wahyu Cahyo Utomo, Muh Aris Saputra (2023) Forecasting Volatility Index Price Movements Using the Fuzzy Method Tsukamoto and Dstat Metric Evaluation . Generation Journal

Yandri Lesmana, Iwan Purnama, Rohan. (2023). Design of Height Measuring Device with Voice Output Based on Arduino Uno. Bulletin of Information Technology (BIT) Vol 4, No 2, June 2023, Pages 245 – 252 ISSN 2722 - 0524 (online media) DOI10.47065/bit.v3i1.697 https://journal.fkpt.org/index.php/BIT

Yunus, M., & Fona, Z. (2020). Hydroponic Technology as a Solution for Food Security During the Covid 19 Pandemic for the Community of Blang Poroh Village, Lhokseumawe City. 4(1), 32–34.