Vol. 5 No. 3 (2024) • Articles
Open Access

Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman

Tundo
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Sodik
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Kiki Setiawan
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Raisah Fajri Aula
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Published: September 20, 2024 Pages: 2915-2924
Original Full-Text Article
Download published version for reading and archiving
Abstract

Smart farming has become a major focus in the development of modern agricultural technology. In this context, the Internet of Things (IoT) offers innovative solutions to increase productivity and efficiency in crop management. This research introduces an IoT-based plant watering monitoring system that uses a fuzzy algorithm and an ESP32 microcontroller. This system is designed to automatically regulate plant watering based on environmental conditions and plant needs. The ESP32 microcontroller acts as the brain of the system, collecting environmental data such as soil moisture, air temperature, and relative humidity. This data is analyzed using a fuzzy algorithm to determine plant watering needs in real-time. Based on the output of the fuzzy algorithm, the system automatically controls the water pump to water the plants according to the specified needs. The application of fuzzy algorithms allows the system to overcome uncertainty in plant watering decisions, especially in the face of complex variations in environmental conditions. With the adoption of IoT technology, farmers can monitor and control crop watering efficiently through web interfaces or mobile applications, even remotely. This research shows that the integration of IoT with fuzzy algorithms and ESP32 microcontrollers can be an effective solution in managing crop watering, increasing overall agricultural productivity, while reducing water and energy consumption.

Article Metrics & Downloads Graph
Monthly Download Trends:
Author Biographies
Tundo Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

Sodik Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

Kiki Setiawan Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

Raisah Fajri Aula Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika

Program Studi Teknik Informatika, Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika, Kota Jakarta Timur, Daerah Khusus Ibukota Jakarta, Indonesia.

How to Cite
Tundo, Sodik, Setiawan, K., & Aula, R. F. (2024). Penerapan IoT dengan Algoritma Fuzzy dan Mikrokontroler ESP32 dalam Monitoring Penyiraman. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 5(3), 2915-2924. https://doi.org/10.35870/jimik.v5i3.977
License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .

  • Share: You are free to copy, distribute, and transmit the work in any medium or format.
  • Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright & Retention: Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

References
Total: 13 References
  1. Azmi, F., Fawwaz, I., & Anugrahwaty, R. (2022). Rancang Bangun Water Level Detection dengan Sensor Elektronik Berbasis Fuzzy Logic.
  2. Giovannie, C. P., Sumaryo, S., & Ekaputri, C. (2018). Sistem Penyiraman dan Pencahayaan pada Kebun Pintar Menggunakan Teknologi Berbasis Context Aware. eProceedings of Engineering, 5(3).
  3. Gunawan, G., & Sari, M. (2018). Rancang bangun alat penyiram tanaman otomatis menggunakan sensor kelembaban tanah. JET (Journal of Electrical Technology), 3(1), 13-17. DOI: https://doi.org/10.30743/jet.v3i1.290.
  4. Hidayat, M. A. J., & Amrullah, A. Z. (2022). Sistem kontrol dan monitoring tanaman hidroponik berbasis Internet of things (IoT) menggunakan NodeMCU ESP32. Jurnal Saintekom: Sains, Teknologi, Komputer Dan Manajemen, 12(1), 23-32. DOI: https://doi.org/10.33020/saintekom.v12i1.223.
  5. Mulyono, H. (2017). Sistem Monitoring Suhu dan Kelembaban Pada Inkubator Bayi Berbasis Mikrokontroler. Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika, 2(1), 123-130. DOI: https://doi.org/10.22202/ei.2015.v2i1.1453.
  6. Naibaho, I. B. (2017). Penyiraman Otomatis pada Tanaman Berbasis Arduino Menggunakan Sensor Kelembaban Tanah (Doctoral dissertation).
  7. Najmurrokhman, A., Kusnandar, K., & Amrulloh, A. (2018). Prototipe Pengendali Suhu dan Kelembaban untuk Cold Storage menggunakan Mikrokontroler Arduino ATMEGA328 dan Sensor DHT11. Jurnal Teknologi, 10(1), 73-82. DOI: https://doi.org/10.24853/jurtek.10.1.73-82.
  8. Nugrahanto, I. (2017). Pembuatan Water Level Sebagai Pengendali Water Pump Otomatis Berbasis Transistor. Jurnal Ilmu-Ilmu Teknik-Sistem, 13(1), 59-70.
  9. NURUL HIDAYATI LUSITA DEWI, N. H. L. D. (2019). Prototype smart home dengan modul nodemcu esp8266 berbasis internet of things (iot) (Doctoral dissertation, UNIVERSITAS ISLAM MAJAPAHIT MOJOKERTO).
  10. Pranata, T., & Beni Irawan, I. (2015). Penerapan Logika Fuzzy Pada Sistem Penyiraman Tanaman Otomatis Berbasis Mikrokontroler. Coding Jurnal Komputer Dan Aplikasi, 3(2). DOI: http://dx.doi.org/10.26418/coding.v3i2.10477.
  11. Prasetyo, A., Yusuf, A. R., & Litanianda, Y. (2020). Otomasi Irigasi Janggelan Berbasis Internet Of Things. Multitek Indonesia, 13(2), 104-109. DOI : 10.24269/mtkind.v13i2.1763.
  12. Rahman, A. (2018). Penyiraman tanaman secara otomatis menggunakan propeler berbasis IoT. ITEJ (Information Technology Engineering Journals), 3(2), 20-27. DOI: https://doi.org/10.24235/itej.v3i2.29.
  13. Ramadan, A. R. (2021). Smart greenhouse dengan metode fuzzy mamdani berbasis internet of things (Doctoral dissertation, Universitas Islam Negeri Maulana Malik Ibrahim).
Most read articles by the same author(s)

Other papers published by author(s) in this journal:

Analisis Sentimen Tanggapan Pengguna Media Sosial X Terhadap Program Beasiswa KIP-Kuliah dengan Menggunakan Algoritma Support Vector Machine (SVM)
Implementasi Algoritma Naive Bayes untuk Analisis Sentimen Terhadap Program Makan Siang Gratis
Penerimaan Aplikasi Loklok Menggunakan Metode Technology Acceptance Model (TAM) oleh Masyarakat Jakarta
Analisis Tingkat Kepuasan Pelanggan Terhadap Pengguna Jasa Layanan Grab Menggunakan Metode C4.5
Implementasi Backup Koneksi Jaringan Menggunakan Metode Failover MikroTik pada PT Tiga Kawan Sertifikasi