Mikro-Irigasi Cerdas dengan Sprinkler Menggunakan Fuzzy Logic Pada Lahan Terbatas Untuk Pertanian 4.0

Abdul Haris(1*), Hengki Sikumbang(2), L.M Syahrul Anwar(3)

(1) Institut Teknologi PLN
(2) 
(3) 
(*) Corresponding Author

Abstract


Most irrigation systems in Indonesia use surface irrigation systems or conventional irrigation, which are still heavily influenced by Earth's gravity, making it very difficult to manage and monitor. while current technological developments are almost evenly distributed throughout Indonesia with an already very good internet network, so that it can be used to support agricultural systems 4.0. In this study, researchers used intelligent computing technology on micro irrigation with Fuzzy Logic algorithm and Sugeno inference to decide when irrigation water is distributed to sprinkler irrigation systems based on a predetermined range value, then the results are evaluated to see the accuracy of the model that has been made before testing in the actual environment. The purpose of this research is to produce smart micro irrigation technology that can be used on limited land and lack of water so that it can help facilitate the work of farmers.

Full Text:

PDF (Indonesian)

References


A. Haris et al., “Optimasi Sistem Irigasi Lahan Tada Hujan Menggunakan Algoritma Ant Colony Optimization Berbasis Tenaga Surya,” Petir: Jurnal Pengkajian dan Penerapan Teknik Informatika, vol. 14, no. 1, pp. 45–51, 2020, doi: 10.33322/petir.v14i1.1064.

A. Haris et al., “Technology Sun Tracking System for Solar Power Plants Base on Recurrent Neural Networks,” Dec. 2020. doi: 10.2991/aer.k.201221.038.

R. N. Aziza, ; Abdul Haris, ; Budi Prayitno, and E. Putra, “Pengembangan Teknologi Smart Powerplant Untuk Mendukung Sistem Irigasi Lahan Kering menggunakan Metode Learning Vector Quantization,” KILAT, vol. 9, no. 2, pp. 192–200, 2020, doi: 10.33322/kilat.v9i2.1126.

F. Pratama and A. Suhartini, “Torasting (Motor Anti Stunting) Sistem Wirausaha Untuk Upaya Pencegahan Stunting dan Pembukaan Lapangan Pekerjaan Untuk Mewujudkan Tujuan Pembangunan Berkelanjutan di Daerah Kuningan,” Syntax Literate ; Jurnal Ilmiah Indonesia, vol. 5, no. 3, 2020, doi: 10.36418/syntax-literate.v5i3.976.

S. M. and R. S. Sinukun, “Prediksi Tingkat Kemiskinan Provinsi Gorontalo Menggunakan Metode Gabungan K-Means dan Generalized Regression Neural Network,” J. ENERGY, vol. 10, no. 2, 2018.

S. Rudy and P. Indah, “Pengaruh Inflasi dan Pertumbuhan Ekonomi terhadap Kemiskinan di Indonesia,” Journal of Applied Business and Economics (JABE), vol. 7, no. 9, pp. 271–278, 2020.

A. Hakim, “FAKTOR PENYEBAB ANAK PUTUS SEKOLAH,” Jurnal Pendidikan, vol. 21, no. 2, 2020, doi: 10.33830/jp.v21i2.907.2020.

Y. Dahono, “Data: Ini Media Sosial Paling Populer di Indonesia 2020-2021,” beritasatu.com, 2021.

T. Izzuddin, “Smart irrigation using fuzzy logic method,” ARPN Journal of Engineering and Applied Sciences, vol. 13, no. 2, pp. 517–522, 2018, [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85041195315&origin=inward

F. S. Ibrahim, D. Konditi, and S. Musyoki, “Smart irrigation system using a fuzzy logic method,” International Journal of Engineering Research and Technology, vol. 11, no. 9, 2018.

R. S. Krishnan, “Fuzzy Logic based Smart Irrigation System using Internet of Things,” Journal of Cleaner Production, vol. 252, 2020, doi: 10.1016/j.jclepro.2019.119902.

B. Alomar, “A Smart Irrigation System Using IoT and Fuzzy Logic Controller,” ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence, pp. 175–179, 2019, doi: 10.1109/CTIT.2018.8649531.

H. Yan, X. Hui, M. Li, and Y. Xu, “Development in sprinkler irrigation technology in China*,” Irrigation and Drainage. 2020. doi: 10.1002/ird.2435.

Z. Liang, X. Liu, G. Wen, and X. Yuan, “Influence analysis of sprinkler irrigation effectiveness using ANFIS,” International Journal of Agricultural and Biological Engineering, vol. 12, no. 5, 2019, doi: 10.25165/j.ijabe.20191205.5123.

M. M. J, “Smart scheduling on cloud for IoT-based sprinkler irrigation,” International Journal of Pervasive Computing and Communications, 2020, doi: 10.1108/IJPCC-03-2020-0013.




DOI: http://dx.doi.org/10.30998/faktorexacta.v14i4.10742

Refbacks

  • There are currently no refbacks.




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

template doaj grammarly tools mendeley crossref SINTA sinta faktor exacta   Garuda Garuda Garuda Garuda Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Flag Counter

site
stats View Faktor Exacta Stats


pkp index