Pemodelan Sistem Penyiraman Cerdas Bergerak pada Budidaya Jamur Tiram

Herny Februariyanti, Eddy Nurraharjo, Muji Sukur, Firman Ardiansyah Ekoanindiyo

Abstract


Integrasi sistem kendali jarak jauh telah menjadi aspek krusial dalam evolusi teknologi digital. Sistem tersebut memegang peran dan fungsi yang bervariasi, untuk memenuhi banyak ragam kebutuhan. Pada masa periode Revolusi Industri 4.0 seiring dengan lajunya Pertanian 4.0, penerapan teknologi ini semakin meluas, salah satu riset yang telah dilakukan pada artikel ini adalah proses penyiraman atau pengabutan pada ruang budidaya secara otomatis bergerak. Fokus masalah penyiraman didasarkan pada permasalahan terhadap kurangnya pemerataan hasil penyiraman, sehingga memunculkan inovasi ide fitur adaptif penyiraman otomatis bergerak. Pengembangan riset diawali dengan melakukan integrasi teknologi sensor suhu, kelembapan dan intensitas cahaya, dilengkapi dengan perangkat kendali utama (mikrokendali), dan perangkat aktuator berdaya DC. Selain itu sistem yang diusulkan ini, menerapkan algoritma fuzzy yang lebih adaptif terhadap perubahan fenomena alamiah dan iklim, sesuai kebutuhannya, dimana suhu antara 15-33o Celcius, kelembapan antara 47-99% serta intensitas cahaya pada nilai rentang 80-800 lumens. Proses pengamatan, pemodelan dan pengujian sistem berjalan dalam 1 periode tanam Jamur Tiram, dan telah diterapujikan di lingkungan sebenarnya di wilayah Kota Semarang. Sinergi berbagai teknologi, didampingi oleh algoritma terapan berbasis pembelajaran mesin fuzzy pada sistem ini telah mampu menghasilkan sebuah perangkat yang inovatif cerdas kekinian, sesuai kebutuhan penggunaannya, dan berpotensi luas untuk dapat diterapkan pada beragam lingkup budidaya tanaman hortikultura maupun fortikultura lainnya.

Keywords


Sistem Cerdas; Penyiraman Bergerak; Fuzzy Adaptif; Autosprayer

Full Text:

PDF

References


Bhat, S. A., Huang, N. F., Sofi, I. B., & Sultan, M. (2022). Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability. In Agriculture (Switzerland) (Vol. 12, Issue 1). https://doi.org/10.3390/agriculture12010040

Birtha, Arifudzaki; Soemantri, Maman; Abdian, F. (2010). Aplikasi Sistem Informasi Persediaan Barang pada Perusahaan Export Hasil Laut Berbasis Web. Transmisi, 12(1), 1.

Chwietczuk, P. (2021). Proposals of Universal Algorithms for the Automation of the Irrigation Process of Plant Crops. Agricultural Engineering, 25(1). https://doi.org/10.2478/agriceng-2021-0009

Farooq, M. S., Sohail, O. O., Abid, A., & Rasheed, S. (2022). A Survey on the Role of IoT in Agriculture for the Implementation of Smart Livestock Environment. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3142848

Fitriawan, H., Cahyo, K. A. D., Purwiyanti, S., & Alam, S. (2020). Pengendalian Suhu dan Kelembapan pada Budidaya Jamur Tiram Berbasis IoT. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 9(1). https://doi.org/10.23960/jtep-l.v9i1.28-37

Han, J., & Kamber, M. (2006). Data Mining: Concepts and Techniques. In Soft Computing (Vol. 54, Issue Second Edition). https://doi.org/10.1007/978-3-642-19721-5

Handayani, S., & Nurcahyo, G. W. (2021). Accuracy in Identifying Rice Plant Diseases Using Method Fuzzy. Smart Computing & Informatics, 13(1).

Khoa, T. A., Man, M. M., Nguyen, T. Y., Nguyen, V. D., & Nam, N. H. (2019). Smart agriculture using IoT multi-sensors: A novel watering management system. Journal of Sensor and Actuator Networks, 8(3). https://doi.org/10.3390/JSAN8030045

Lee, M., Kim, H. K., & Yoe, H. (2021). Plant Growth Measurement System Using Image Processing. In Studies in Computational Intelligence (Vol. 930). https://doi.org/10.1007/978-3-030-64773-5_11

Liaqat, W., Barutçular, C., Farooq, M. U., Ahmad, H., Jan, M. F., Ahmad, Z., Nawaz, H., & Li, M. (2022). Climate change in relation to agriculture: A review. In Spanish Journal of Agricultural Research (Vol. 20, Issue 2). https://doi.org/10.5424/sjar/2022202-17742

Liza, Y., & Yupinti. (2012). Sistem Informasi persediaan barang pada PT.Surya Nusa Bhaktindo Bengkulu. Media Infotama, 8(1), 90–117.

Marcoulides, G. a. (2005). Discovering Knowledge in Data: an Introduction to Data Mining:Discovering Knowledge in Data: An Introduction to Data Mining. In Journal of the American Statistical Association (Vol. 100, Issue 472). https://doi.org/10.1198/jasa.2005.s61

Napitupulu, S., Nababan, E. B., & Sihombing, P. (2020). Comparative Analysis of Fuzzy Inference Tsukamoto Mamdani and Sugeno in the Horticulture Export Selling Price. MECnIT 2020 - International Conference on Mechanical, Electronics, Computer, and Industrial Technology. https://doi.org/10.1109/MECnIT48290.2020.9166587

Nourani, V., Foroumandi, E., Sharghi, E., & Dąbrowska, D. (2021). Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques. Journal of Hydroinformatics, 23(1). https://doi.org/10.2166/hydro.2020.048

Oubehar, H., Selmani, A., Ed-Dahhak, A., Lachhab, A., Archidi, M. E. H., & Bouchikhi, B. (2020). ANFIS-based climate controller for computerized greenhouse system. Advances in Science, Technology and Engineering Systems, 5(1), 8–12. https://doi.org/10.25046/aj050102

Pomoni, D. I., Koukou, M. K., Vrachopoulos, M. G., & Vasiliadis, L. (2023). A Review of Hydroponics and Conventional Agriculture Based on Energy and Water Consumption, Environmental Impact, and Land Use. In Energies (Vol. 16, Issue 4). MDPI. https://doi.org/10.3390/en16041690

Prasetyo, A., Setyawan, M. B., Litanianda, Y., Sugianti, S., & Masykur, F. (2022). Fuzzy Method Design for IoT-Based Mushroom Greenhouse Controlling. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 6(1). https://doi.org/10.29407/intensif.v6i1.16786

Sari, W. E., Wahyunggoro, O., & Fauziati, S. (2016). A comparative study on fuzzy Mamdani-Sugeno-Tsukamoto for the childhood tuberculosis diagnosis. AIP Conference Proceedings, 1755. https://doi.org/10.1063/1.4958498

Senanayake, S., & Pradhan, B. (2022). Predicting soil erosion susceptibility associated with climate change scenarios in the Central Highlands of Sri Lanka. Journal of Environmental Management, 308. https://doi.org/10.1016/j.jenvman.2022.114589

Siskandar, R., Santosa, S. H., Wiyoto, W., Kusumah, B. R., & Hidayat, A. P. (2022). Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model. Jurnal Ilmu Pertanian Indonesia, 27(1). https://doi.org/10.18343/jipi.27.1.141

Soheli, S. J., Jahan, N., Hossain, M. B., Adhikary, A., Khan, A. R., & Wahiduzzaman, M. (2022). Smart Greenhouse Monitoring System Using Internet of Things and Artificial Intelligence. Wireless Personal Communications, 124(4). https://doi.org/10.1007/s11277-022-09528-x

Tao, W., Zhao, L., Wang, G., & Liang, R. (2021). Review of the internet of things communication technologies in smart agriculture and challenges. In Computers and Electronics in Agriculture (Vol. 189). https://doi.org/10.1016/j.compag.2021.106352

Thong-un, N., & Wongsaroj, W. (2022). Productivity enhancement using low-cost smart wireless programmable logic controllers: A case study of an oyster mushroom farm. Computers and Electronics in Agriculture, 195. https://doi.org/10.1016/j.compag.2022.106798

Varga, A. (2021). Climate Change and Its Impact on Agriculture. Acta Horticulturae et Regiotecturae, 24(s1). https://doi.org/10.2478/ahr-2021-0010

Xu, J., Gu, B., & Tian, G. (2022). Review of agricultural IoT technology. In Artificial Intelligence in Agriculture (Vol. 6). https://doi.org/10.1016/j.aiia.2022.01.001

Yang, J., Sharma, A., & Kumar, R. (2021). IoT-based framework for smart agriculture. International Journal of Agricultural and Environmental Information Systems, 12(2). https://doi.org/10.4018/IJAEIS.20210401.oa1

Zhou, J. (2022). Views on Development of Modern Agriculture. https://doi.org/10.1007/978-3-030-86985-4_11




DOI: https://doi.org/10.31294/jtk.v10i2.22362

Copyright (c) 2024 Herny Februariyanti, Eddy Nurraharjo, Muji Sukur, Firman Ardiansyah Ekoanindiyo

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

ISSN: 2442-2436 (print), and 2550-0120


 dipublikasikan oleh LPPM Universitas Bina Sarana Informatika Jakarta

Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450
Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License