Fuzzy Mamdani Pada Tanaman Tomat Hidroponik Mamdani Fuzzy on Hydroponics Tomato Plants

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Published: Oct 30, 2019
DOI: https://doi.org/10.21070/jeee-u.v3i2.2471
Keywords:
Fuzzy Mamdani, Hydroponics, Nutrition, Automation, Tomato

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Budi Prasetya
Universitas Merdeka Malang
Aries Boedi Setiawan
Universitas Merdeka Malang
Basitha Febrinda Hidayatulail
Universitas Merdeka Malang

Abstract

Tomato plants are one of the many agricultural commodities needed by the community. Most farmers grow tomatoes in conventional ways in the fields, fields or plantations without the control and measurement relying on experience and habitual factors, so the need for pH and temperature of the planting space of tomato plants cannot be given according to their needs, while the pH requirements of tomato plants range 6.5 and the planting room temperature is 28 °C, and soil moisture is 70%, using the hydroponic planting method which is automatically controlled by the Arduino-based microcontroller with the application of fuzzy mamdani making it easy to do pH setting of planting media using soil pH sensor as input and temperature of planting room using LM35 temperature sensor, and soil moisture sensor using humidity sensor fc28, as the system output fan and selenoid valve are used. To find out plant nutrition, one of the indicators is the pH value of soil media, room temperature and humidity of the planting medium.

Article Details

Issue
Vol 3 No 2 (2019): October
Section
Control System

Copyright (c) 2019 Budi Prasetya, Aries Boedi Setiawan, Basitha Febrinda Hidayatulail

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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

[1] H. Abbas, R. Syam, and B. Jaelan, “Rancang Bangun Smart Greenhouse Sebagai Tempat Budidaya Tanaman Menggunakan Solar Cell Sebagai Sumber Listrik,” 2015.

[2] Kadir, A. “Rancang Bangun Smart Green House Dengan Metode Expert System. Makassar”: Universitas Hasanuddin. 2012.

[3] Trisnawati, Y. & Setiawan, A.I.,.Tomat Budidaya Secara Komersial. Penebar Swadaya, Jakarta. 2005.

[4] M. A. Wijaya, A. Boedi, and J. Saputra, “Implementasi Fuzzy Logic Terhadap Pengukuran Kecepatan dan Penentuan Arah Angin,” J. Tek. Elektro dan Komput. TRIAC, vol. 5, no. 2, 2018.

[5] E. Ketaren, “Pemanfaatan Fuzzy Logic Dalam Sistem Penerimaan Pegawai Baru,” J. TIMES, vol. 4, no. 2, pp. 57–60, 2016.

[6] Pali, Alvian Gusthaf, et al. "Sistim Selektor Munisi Untuk Industri Militer Dengan Teknologi Mikrokontroler. " Seminar Nasional Sistem Informasi (SENASIF). Vol. 1. No. 1. 2017.

[7] C. P. Yahwe, I. Isnawaty, and L. M. F. Aksara, “Rancang Bangun Prototype System Monitoring Kelembaban Tanah Melalui Sms Berdasarkan Hasil Penyiraman Tanaman System Monitoring Kelembaban Tanah Melalui Sms Berdasarkan Hasil Penyiraman Tanaman,” semanTIK, vol. 2, no. 1, 2016.

[8] I. Kustanti, M. A. Muslim, and E. Yudaningtyas, “Pengendalian Kadar Keasaman (pH) Pada Sistem Hidroponik Stroberi Menggunakan Kontroler PID Berbasis Arduino Uno,” J. Mhs. TEUB, vol. 2, no. 1, 2014.

[9] M. A. Hamzah, B. Setiyono, and S. Sumardi, “Perancangan Plant Alat Pembuat Sirup Buah Otomatis Dengan Kontrol PI Sebagai Pengendali Suhu Cairan Berbasis ATMEGA16,” TRANSIENT, vol. 3, no. 4, pp. 664–669, 2015.

[10] E. Sonalitha, B. Nurdewanto, S. Ratih, N. R. Sari, A. B. Setiawan, and P. Tutuko, “Comparative Analysis of Tsukamoto and Mamdani Fuzzy Inference System on Market Matching to Determine the Number of Exports for MSMEs,” in 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS), 2018, pp. 440–445.