Sistem Monitoring Dan Kontrol Tanaman Pada Greenhouse Berbasis Android Menggunakan Fuzzy Sugeno

  • Alvira Fauziah Rahmah Mahasiswa
  • Dwi Sartika Simatupang Universitas Nusa Putra
  • Alun Sujjada Universitas Nusa Putra
Keywords: Green House, Tomato Plant, Internet of Things, Prototype, sugeno fuzzy logic

Abstract

Technological developments will continue to develop very quickly in progress in all fields and can facilitate human work, one of which is in the agricultural sector. One of these technological advancements is in control and automation systems. The weather in Indonesia is often erratic, leading to crop failure. This makes farmers use several ways to keep their crops afloat even though the weather often changes, one of which is by using a greenhouse. The problem in the greenhouse for apple tomato plants is that there is no tool for monitoring soil pH, temperature and humidity in real time, apart from that, watering the plants is still manual so that it takes quite a long time in the watering process and the distribution of nutrients is uneven so that the tomato plants do not growing well, apart from that farmers have a little difficulty in checking the water reservoirs because they are still filled manually. To facilitate farmers in watering plants and providing fertilizers and nutrients. This monitoring design uses the prototype method and Sugeno fuzzy logic. From the results of system testing, an error from the soil moisture sensor is obtained by 0.03% with a difference of 2.4, an error from the ultrasonic sensor is 0.08% with a difference of 9.6, and an error from the DHT sensor 11 ( temperature sensor) of 0.036% with a difference of 0.74. The average error resulting from the comparison of the duration of watering between matlab and digital clocks is 0.844%.

 

 

Downloads

Download data is not yet available.

References

[1] T. B. Dwinugroho, Y. T. Hapsari, and Kurniawanti, “Greenhouse automation: Smart watering system for plants in greenhouse using programmable logic control (PLC),” J. Phys. Conf. Ser., vol. 1823, no. 1, pp. 0–9, 2021, doi: 10.1088/1742-6596/1823/1/012014.
[2] A. Sujjada, Rizki Maulana, and Anggun Fergina, “Rancang Bangun Penyiram Tanaman Otomatis Berbasis Internet of Things Menggunakan NodeMCU dan Telegram,” J. RESTIKOM Ris. Tek. Inform. dan Komput., vol. 4, no. 1, pp. 45–49, 2023, doi: 10.52005/restikom.v4i1.115.
[3] R. Gunawan, T. Andhika, . S., and F. Hibatulloh, “Monitoring System for Soil Moisture, Temperature, pH and Automatic Watering of Tomato Plants Based on Internet of Things,” Telekontran J. Ilm. Telekomun. Kendali dan Elektron. Terap., vol. 7, no. 1, pp. 66–78, 2019, doi: 10.34010/telekontran.v7i1.1640.
[4] F. Marinus, B. Yulianti, and M. Haryanti, “Rancang Bangun Sistem Penyiraman Tanaman Berdasarkan Waktu Menggunakan Rtc Berbasis Arduino Uno Pada Tanaman Tomat,” J. Univ. Suryadarma, pp. 78–89, 2020.
[5] D. Anggreyani, “Rancang Bangun Sistem Monitoring Kelembaban Tanah, Suhu dan Penyiraman Otomatis Pada Tanaman Tomat Berbasis Internet of Things,” p. 19, 2021, [Online]. Available: http://eprints.poltektegal.ac.id/1053/1/Rancang Bangun Sistem Monitoring Kelembaban Tanah%2C Suhu Dan Penyiraman Otomatis Pada Tanaman Tomat Berbasis Internet Of Things.pdf
[6] A. Reichenbach et al., “Perancangan sistem penyiraman otomatis tanaman bawang dengan metode fuzzy sugeno berbasis arduino uno,” Prog. Retin. Eye Res., vol. 561, no. 3, pp. S2–S3, 2019.
[7] N. Fauzia, N. Kholis, and H. K. Wardana, “Otomatisasi Penyiraman Tanaman Cabai Dan Tomat Berbasis Iot,” Reaktom Rekayasa Keteknikan dan Optimasi, vol. 6, no. 1, pp. 22–28, 2021.
[8] I. Ahmad, “Implementasi Metode Fuzzy Sugeno Untuk Mensimulasi Perilaku,” 2019.
[9] A. S. Rahmat, “Sistem Monitoring pada Smart Aeroponics Tanaman Selada Berbasis Internet of Things (IoT),” 2021, [Online]. Available: https://repository.pnj.ac.id/id/eprint/689
[10] R. D. Irsansyah, “Sistem Monitoring Tanaman Cabai Menggunakan Fuzzy Logic Sugeno Dengan Konsep Internet of Things (IoT),” 2020, [Online]. Available: http://repository.untag-sby.ac.id/id/eprint/5928
[11] K. Alfanugraha, “Rancang Bangun Alat Penyiraman Tanaman Tomat Otomatis Menggunakan Sensor Rtc Berbasis Arduino Uno,” COMSERVA J. Penelit. …, vol. 2, no. 5, pp. 369–383, 2022, doi: 10.36418/comserva.v2i5.317.
[12] N. Effendi, W. Ramadhani, and F. Farida, “Perancangan Sistem Penyiraman Tanaman Otomatis Menggunakan Sensor Kelembapan Tanah Berbasis IoT,” J. CoSciTech (Computer Sci. Inf. Technol., vol. 3, no. 2, pp. 91–98, 2022, doi: 10.37859/coscitech.v3i2.3923.
[13] S. B. Mursalin, H. Sunardi, and Z. Zulkifli, “Sistem Penyiraman Tanaman Otomatis Berbasis Sensor Kelembaban Tanah Menggunakan Logika Fuzzy,” J. Ilm. Inform. Glob., vol. 11, no. 1, pp. 47–54, 2020, doi: 10.36982/jig.v11i1.1072.
[14] S. Agustian and S. Ramadhani, “Jurnal Computer Science and Information Technology ( CoSciTech ) menggunakan algoritma lexrank,” vol. 3, no. 3, pp. 371–381, 2022.
Published
2023-08-30
How to Cite
Alvira Fauziah Rahmah, Dwi Sartika Simatupang, & Alun Sujjada. (2023). Sistem Monitoring Dan Kontrol Tanaman Pada Greenhouse Berbasis Android Menggunakan Fuzzy Sugeno. Jurnal CoSciTech (Computer Science and Information Technology), 4(2), 332-340. https://doi.org/10.37859/coscitech.v4i2.5088
Abstract views: 185 , PDF downloads: 212