Sistem Pengendalian Water Pump Untuk Mengatur Volume Level Air Dengan Logika Fuzzy Pada Pengairan Hidroponik

Rakhmat Kurniawan(1*), S Sriani(2), Alfan Ramadhan(3),

(1) Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
(2) Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
(3) Universitas Islam Negeri Sumatera Utara, Medan, Indonesia
(*) Corresponding Author

Abstract


Hydroponic culture can produce optimal plant growth, the yield and quality are better than soil media, the efficiency and quality of production depends on many factors such as controlling nutrition, plant genotype, freezing method, disease control, temperature control and controlling the amount of water in the tendons. Water that is circulated through the hydroponic network is supplied through a water pump. A lot of water supply cannot be stable, which can result in a decrease in plant quality, namely the control of hydroponic water pumps can be adjusted with the Tsukamoto fuzzy system. This study used the NFT hydroponic method, which is suitable for green vegetables such as mustard greens, lettuce, spinach, pakcoy, cucumber, tomatoes, and others. The application of this pump sensor monitoring tool uses a microcontroller based on the IoT platform. Also used Blynk software to display information from programming via Arduino software. Ultrasonic circuit, the sensor will measure the distance to the air surface, which will determine at what distance the water tap will open to fill air into the tendons. After running a number of experiments the content of water tendons can be controlled by fuzzy Tsukamoto. It is hoped that for further development it can use sensors other than Ultrasonic, and for further development it can use a large number of plants.

Full Text:

PDF

References


Akhun, N. (2021). Edamame Hidroponik - Protokol Sederhana & Dosis Nutrisi (1st ed.). Nafan Akhun. https://www.google.co.id/books/edition/Edamame_Hidroponik_Protokol_Sederhana_Do/Pt8LEAAAQBAJ?hl=en&gbpv=0&kptab=overview.

Alfita, R., Mamlu’ah, D., Ulum, M., & Nahari, R. V. (2017). Implementation of Fuzzy Sugeno Method for Power Efficiency. International Journal of Advanced Engineering Research and Science, 4(9), 1–5. https://doi.org/10.22161/ijaers.4.9.1.

Chaudhuri, A. B. (2020). Flowchart and Algorithm Basics. David Pallai. https://terrorgum.com/tfox/books/flowchartandalgorithmbasics.pdf.

Fathulloh, & Budiana, N. S. (2020). Akuaponik. Penebar Swadaya Grup. https://www.google.co.id/books/edition/Akuaponik/ruIhEAAAQBAJ?hl=en&gbpv=0.

Furqan, M., Sriani, Hasugian, A. H., & Hsb, M. S. (2021). Penentuan Kualitas Bibit Padi Menggunakan Metode Fuzzy Mamdani. Jurnal Sains Komputer & Informatika (J-SAKTI), 5(September), 529–539.

]Ghita, M., Diaz, R. A. C., Birs, I. R., Copot, D., & Ionescu, C. M. (2022). Ergonomic and Economic Office Light Level Control. Energies, 15(3), 1–14. https://doi.org/10.3390/en15030734.

Gokceli, S., Zhmurov, N., Kurt, G. K., & Ors, B. (2017). IoT in Action: Design and Implementation of a Building Evacuation Service. Journal of Computer Networks and Communications, 2017. https://doi.org/10.1155/2017/8595404.

Hemanth, D. J., Malathi, S., & Kumar, V. D. A. (2020). Intelligent Systems and Computer Technology. IOS Press. https://www.google.co.id/books/edition/Intelligent_Systems_and_Computer_Technol/gK4SEAAAQBAJ?hl=en&gbpv=0.

Kadang, M. O. (2021). Algoritma dan Pemrograman (A. K. Muzakkir (ed.); 1st ed.). Humanities Genius. https://www.google.co.id/books/edition/Algoritma_dan_Pemrograman/2UpEEAAAQBAJ?hl=en&gbpv=0.

Kahraman, C., & Aydın, S. (2021). Intelligent Systems in Aviation 4.0 Industry (1st ed.). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-75067-1_2.

Nicolosi, G., Volpe, R., & Messineo, A. (2017). An innovative adaptive control system to regulate microclimatic conditions in a greenhouse. Energies, 10(5). https://doi.org/10.3390/en10050722.

Nowicki, R. K. (2019). Rough Set–Based Classification Systems (1st ed.). Springer, Cham. https://doi.org/10.1007/978-3-030-03895-3.

Purwaningtyas, F. (2018). Sistem Water Level Control Untuk Budidaya Ikan Gurame Menggunakan Logika Fuzzy Berbasis Mikrokontroler. (November), 48–57.

Sakti, S. P. (2017). Pengantar Teknologi Sensor (1st ed.). Universitas Brawijaya Press. https://www.google.co.id/books/edition/Pengantar_Teknologi_Sensor/xWtODwAAQBAJ?hl=en&gbpv=0.

Sapkota, S., Sapkota, S., Liu, Z. (2019). Effects of Nutrient Composition and Lettuce Cultivar on Crop Production in Hydroponic Culture. Journal of Holticulturae, 5(4), 1–8. https://www.mdpi.com/2311-7524/5/4/72.

Shouran, M., Anayi, F., Packianather, M., & Habil, M. (2022). Algorithm for LFC of Two-Area Power System.

Sitio, S. L. M. (2018). Penerapan Fuzzy Inference System Sugeno untuk Menentukan Jumlah Pembelian Obat (Studi Kasus: Garuda Sentra Medika). Jurnal Informatika Universitas Pamulang, 3(2), 104. https://doi.org/10.32493/informatika.v3i2.1522.

Zhang, J., Li, H., Ma, K., Xue, L., Han, B., Dong, Y., Tan, Y., & Gu, C. (2018). Design of PID temperature control system based on STM32. IOP Conference Series: Materials Science and Engineering, 322(7). https://doi.org/10.1088/1757-899X/322/7/072020




DOI: https://doi.org/10.30645/brahmana.v4i2.186

DOI (PDF): https://doi.org/10.30645/brahmana.v4i2.186.g185

Refbacks

  • There are currently no refbacks.


Published Papers Indexed/Abstracted By: