DOI: https://doi.org/10.14710/jtsiskom.2020.13822

Kendali pH untuk sistem IoT hidroponik deep flow technique berbasis fuzzy logic controller

PH control for deep flow technique hydroponic IoT systems based on fuzzy logic controller

1Department of Electrical Engineering, Politeknik Negeri Bandung, Indonesia

2Department of Computer Engineering, Politeknik Sukabumi, Indonesia

Received: 12 Jul 2020; Revised: 8 Sep 2020; Accepted: 13 Oct 2020; Available online: 24 Oct 2020; Published: 31 Oct 2020.
Open Access Copyright (c) 2020 Jurnal Teknologi dan Sistem Komputer under http://creativecommons.org/licenses/by-sa/4.0.

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Abstract
In hydroponic cultivation sites, pH control is still carried manually by checking the pH level with a pH meter and providing a pH balancing liquid manually. This study aims to design an automatic pH control system in the Deep Flow Technique (DFT) hydroponic system that uses the Internet of Things (IoT) based Fuzzy Logic Controller (FLC). The SKU SEN0161 sensor detects the pH value as FLC inputs in an error value and its changes. These inputs are processed using Mamdani FLC embedded in the Arduino Mega 2560 microcontroller. The FLC produces an output in a pH liquid feeding duration using the peristaltic pump. The results showed that FLC could maintain the pH value according to the set point with a settling time of less than 50 seconds, both with disturbance by adding pH liquid and without disturbance. The pH value can also be displayed on the website interface system as a monitoring system.
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Keywords: pH control; hydroponic DFT; fuzzy logic control; Internet of things
Funding: Politeknik Negeri Bandung

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Section: Original Research Articles
Language : ID
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  1. J. E. Son, H. J. Kim, and T. I. Ahn, Hydroponic systems, Plant factory: Academic Press, 2020, pp. 273-283. doi: 10.1016/B978-0-12-816691-8.00020-0
  2. Pengaruh ph pada tanaman dan nutrisi. [Online]. Available: https://hidroponiq.com/2015/05/ph-swing-dampak-dan-penyebabnya/. [Accessed: 14 August. 2019]
  3. M. Fakhruzzaini and H. Aprilianto, “Sistem otomatisasi pengontrolan volume dan pH air pada hidroponik,” Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 6, no.1, pp. 1335-1344, 2017
  4. F. F. Dzikriansyah, R. Hudaya, and C. W. Nurhaeti, “Sistem Kendali Berbasis PID untuk Nutrisi Tanaman Hidroponik,” in Industrial Research Workshop and National Seminar, Bandung, Indonesia, Aug. 2017, pp. 621-626
  5. I. Puspasari, Y. Triwidyastuti, and H. Harianto, “Otomasi sistem hidroponik wick terintegrasi pada pembibitan tomat ceri,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), vol. 7, no. 1, pp.97-104, 2018. doi: 10.22146/jnteti.v7i1.406
  6. F. Hadiatna, A. Dzulfahmi, and D. Nataliana, “Analisis penerapan kendali otomatis berbasis PID terhadap pH larutan,” ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 8, no. 1, pp. 163-177, 2020. doi: 10.26760/elkomika.v8i1.163
  7. I. Kustanti, M. A. Muslim, and E. Yudaningtyas, “Pengendalian kadar keasaman (pH) pada sistem hidroponik stroberi menggunakan kontroler PID berbasis Arduino Uno,” Jurnal Mahasiswa TEUB, vol. 2, no. 1, pp. 1-6, 2014
  8. F. D. Hartarto, “Rancang Bangun Monitoring Dan Kontrol Pertumbuhan Tanaman Pada Sistem Hidroponik DFT Menggunakan Metode Fuzzy Logic,” Tugas Akhir Politeknik Perkapalan Negeri Surabaya, 2019
  9. S. Sembiring, A. Rifai, S. Sutarno, and P. A. K. Tarigan, “Perancangan sistem pengatur pH air akuarium menggunakan kendali logika fuzzy,” Informatik: Jurnal Ilmu Komputer, vol. 16, no. 1, pp. 13-24, 2020
  10. D. Pancawati, and A. Yulianto, “Implementasi fuzzy logic controller untuk mengatur pH nutrisi pada sistem hidroponik Nutrient Film Technique (NFT),” Jurnal Nasional Teknik Elektro, vol. 5, no. 2, pp. 278-289, 2016. doi: 10.25077/jnte.v5n2.284.2016
  11. A. Y. H. Putra and W. S. Pambudi, “Sistem kontrol otomatis pH larutan nutrisi tanaman bayam pada hidroponik NFT (nutrient film technique),” Jurnal Mikrotek, vol. 2, no. 4, pp. 11-20, 2017
  12. M. Muhtar and Z. Huda, “Desain kontrol sistem telemetri pH larutan nutrisi hidroponik berbasis fuzzy logic,” IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), vol. 9, no. 2, pp. 151-160, 2019. doi: 10.22146/ijeis.49198
  13. F. Rahmah, F. Hidayanti, and M. Innah, “Penerapan smart sensor untuk kendali pH dan level larutan nutrisi pada sistem hidroponik tanaman pakcoy,” Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), vol. 6, no. 5, pp. 527-534, 2019. doi: 10.25126/jtiik.2019651738
  14. H. Helmy, A. Rahmawati, S. Ramadhan, T. A. Setyawan, and A. Nursyahid, “Pemantauan dan pengendalian kepekatan larutan nutrisi hidroponik berbasis jaringan sensor nirkabel,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI), vol. 7, no. 4, pp. 391-396, 2018. doi: 10.22146/jnteti.v7i4.456
  15. M. A. Nahdi, T. Y. Putro, and Y. Sudarsa, “Sistem pemantauan dan kendali suhu nutrisi tanaman hidroponik berbasis IoT,” in Industrial Research Workshop and National Seminar, Bandung, Indonesia, Aug. 2019, pp. 201-207
  16. T. A. Zuraiyah, M. I. Suriansyah, and A. P. Akbar, “Smart urban farming berbasis internet of things (IoT),” Information Management For Educators and Professionals: Journal of Information Management, vol. 3, no. 2, pp. 139-150, 2019
  17. A. Heryanto, J. Budiarto, and S. Hadi, “Sistem nutrisi tanaman hidroponik berbasis internet of things menggunakan NodeMCU ESP8266,” Jurnal Bumigora Information Technology (BITe), vol. 2, no. 1, pp. 31-39, 2020
  18. A. J. Kuswinta and I. W. A. Arimbawa, “Implementasi IoT cerdas berbasis inference fuzzy Tsukamoto pada pemantauan kadar pH dan ketinggian air dalam akuaponik,” Journal of Computer Science and Informatics Engineering (J-Cosine), vol. 3, no. 1, pp. 65-74, 2019. 10.29303/jcosine.v3i1.245
  19. D. Yolanda, H. Hindersah, F. Hadiatna, and M. A. Triawan, “Implementation of real-time fuzzy logic control for NFT-based hydroponic system on Internet of Things environment,” in 6th International Conference on System Engineering and Technology, Bandung, Indonesia, Oct. 2016, pp. 153-159. doi: 10.1109/ICSEngT.2016.7849641
  20. P. Musa, H. Sugeru, and H. F. Mufza, “An intelligent applied fuzzy logic to prediction the parts per million (PPM) as hydroponic nutrition on the based Internet of Things (IoT),” in Fourth International Conference on Informatics and Computing, Semarang, Indonesia, Oct. 2019, pp. 1-7. doi: 10.1109/ICIC47613.2019.8985712

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