Irigasi Tanaman Agriculture Dengan Logika Fuzzy Terintegrasi Internet of Things


  • Angga Prasetyo Universitas Muhammadiyah Ponorogo
  • Adi Fajaryanto Universitas Muhammadiyah Ponorogo
  • Yovi Litanianda Universitas Muhammadiyah Ponorogo
  • Arief Rahman Yusuf Universitas Muhammadiyah Ponorogo
  • Moh. Bhanu Setyawan Universitas Muhammadiyah Ponorogo
  • Rifqi Rahmatika Az-Zahra Universitas Muhammadiyah Ponorogo


fuzzy, irrigation, IoT, agriculture, chili


Chili, mustard greens, tomatoes, are the mainstay of farmers' cultivation, although they require a lot of water and labor.Based on these conditions, farming techniques are very suitable to use the smart agriculture system (SAS) model, where this applies technology such as automatic irrigation in regulating watering and only based on daily routines regardless of land conditions. The application of SAS still has a weakness, namely the microcontroller is less responsive in controlling plant ecosystems during the transition season, when air temperature and humidity conditions change drastically in a fast time or known as overshoot temperature. This condition can cause root rot and trigger fungisarium disease in chili plants. The solution, try to present a system that involves artificial intelligence such as fuzzy logic in the form of an embedded system with internet of things (IoT) monitoring. Fuzzy logic mathematically will regulate irrigation based on humidity and temperature conditionsland. Starting with the Fuzzification stage to map the input temperature and humidity values from the sensor. Followed by making the Inference engine on the NodeMcu 8266 microcontroller to interpret the fuzzy rule statement in the form of an aggregation of minimum conditions with the AND operator, then combined with a single set value of 0 and 1 on the fuzzy system to become the appropriate actuator response. After the whole system is prototyped, then testing is carried out to find out how well the fuzzy program code can respond to changes in the simulated agricultural land ecosystem changes. This researchfound the result that the fuzzy logic program code embedded in the nodeMCU8266 microcontroller managed to adjust the duration of spraying carried out by the pump as response to various simulated environmental conditions within 3.6 seconds.


B. Cabai, D. I. Desa, and B. Bunga, “PENERAPAN IRIGASI TETES DENGAN SISTEM KONTROL PADA,” pp. 156–164, 2018.

S. V. Kiri and L. A. S. Lapono, “Otomatisasi Sistem Irigasi Tetes Berbasis Arduino Nano,” J. Fis. Sains dan Apl., vol. 2, no. 1, pp. 44–49, 2017, [Online]. Available:

P. L. Sarwendah and M. Mulyadi, “Sistem Irigasi Tetes Elektronik Pada Budidaya Cabai Di Lahan Pesisir,” El Sains J. Elektro, vol. 1, no. 2, pp. 2–5, 2020, doi: 10.30996/elsains.v1i2.3185.

F. Suryatini, M. Maimunah, and F. I. Fauzandi, “Implementasi Sistem Kontrol Irigasi Tetes Menggunakan Konsep IoT Berbasis Logika Fuzzy Takagi-Sugeno,” JTERA (Jurnal Teknol. Rekayasa), vol. 4, no. 1, p. 115, 2019, doi: 10.31544/jtera.v4.i1.2019.115-124.

Anas Dinurrohman Susila, Adea Oktavia, and Bartolomeus Varian Yuliharsa Wirabawana, “Fertigation Methods and N Source on Chili through Drip Irrigation,” J. Agron. Indones. (Indonesian J. Agron., vol. 48, no. 3, pp. 268–274, 2020, doi: 10.24831/jai.v48i3.32662.

M. S. I. Chaer, S. H. Abdullah, and A. Priyati, “Aplikasi Mikrokontroler Arduino Pada Sistem Irigasi Tetes Untuk Tanaman Sawi (Brassica Juncea) (Application of Arduino Microcontroller on Drip Irrigation for Mustard Plant (Brassica juncea),” J. Ilm. Rekayasa Pertan. dan Biosist., vol. 4, no. 2, pp. 228–238, Sep. 2016, Accessed: May 23, 2019. [Online]. Available:

T. K. Kontrol, P. N. Madiun, and K. Madiun, “Alat Pengatur Kelembapan Dan Suhu Untuk Mempercepat Proses Fermentasi Kedelai Berbasis Internet Of Things,” pp. 469–472, 2013.

A. Prayoga, Y. Ramdhani, A. Mubarok, and S. Topiq, “Pengukur Tingkat Kekeruhan Keasaman Dan Suhu Air Menggunakan Mikrokontroler Atmega328p Berbasis Android,” J. Inform., vol. 5, no. 2, pp. 248–254, 2018, doi: 10.31311/ji.v5i2.3819.

F. Masykur et al., “Rancang Bangun Internet of Things ( Iot ) Guna Pengendalian,” pp. 140–144, 2019.

A. Prasetyo and M. B. Setyawan, “PURWARUPA INTERNET OF THINGS SISTEM KEWASPADAAN BANJIR DENGAN KENDALI RASPBERRY PI,” Netw. Eng. Res. Oper., vol. 3, no. 3, May 2018, doi: 10.21107/NERO.V3I3.97.

M. D. Syamsiar, M. Rivai, and S. Suwito, “Rancang Bangun Sistem Irigasi Tanaman Otomatis Menggunakan Wireless Sensor Network,” J. Tek. ITS, 2019, doi: 10.12962/j23373539.v5i2.16512.

A. Prasetyo and A. R. Yusuf, “Integrated Device Electronic Untuk Sistem Irigasi Tetes Dengan Kendali Internet of Things,” J. Ilm. Teknol. Inf. Asia, vol. 14, no. 1, p. 1, 2019, doi: 10.32815/jitika.v14i1.361.

G. G. Heliadi, M. R. Kirom, and A. Suhendi, “Monitoring and Control of Nutrition on NFT Hydroponic System Based on Electrical Conductivity,” e-Proceeding Eng., vol. 5, no. 1, pp. 885–893, 2018.

A. Prasetyo, Y. Litanianda, and ..., “Pengendalian Suhu dan Kelembapan Kumbung Jamur Dengan Metode Fuzzy Terintegrasi Internet of Things,” Pros. …, 2021, [Online]. Available:

Handi, H. Fitriyah, and G. E. Setyawan, “Sistem Pemantauan Menggunakan Blynk dan Pengendalian Penyiraman Tanaman Jamur Dengan Metode Logika Fuzzy,” J. Pengemb. Teknol. Inf. dan Ilmu Komput., vol. 3, no. 4, pp. 3258–3265, 2019.

F. Rozie et al., “Aquaponics System for Catfish Farms and Hydroponic Kale Plants Based on Iot and Fuzzy Inference System,” J. Teknol. Inf. dan Ilmu Komputer, vol. 8, no. 1, pp. 157–166, 2021, doi: 10.25126/jtiik.202184025.

Munawaroh, “Penerapan Metode Fuzzy Inference System Dengan Algoritma Tsukamoto,” J. Inform. J. Pengemb. IT Poltek Tegal, vol. 03, no. 02, pp. 184–189, 2018.

E. A. Nugroho, “Sistem Pengendali Lampu Lalulintas Berbasis Logika Fuzzy,” J. SIMETRIS, vol. 8, no. 1, pp. 75–84, 2017.

S. P. Adithama, F. K. S. Dewi, and E. Hariyadi, “Penerapan Algoritma Apriori dan Fuzzy Tsukamoto untuk Rekomendasi Jumlah Pembelian Barang dan Promo pada Toko Serba Ada,” JUITA J. Inform., vol. 8, no. 2, p. 261, 2020, doi: 10.30595/juita.v8i2.7142.




How to Cite

Angga Prasetyo, Adi Fajaryanto, Yovi Litanianda, Arief Rahman Yusuf, Moh. Bhanu Setyawan, & Rifqi Rahmatika Az-Zahra. (2022). Irigasi Tanaman Agriculture Dengan Logika Fuzzy Terintegrasi Internet of Things . Prosiding SISFOTEK, 6(1), 141-144. Retrieved from



5. Teknologi & Komputer