Smart Farming System for Monitoring and Optimizing Paddy Field with Internet of Things Technology

Bagus Adhi Kusuma, Sarmini Sarmini, Wiga Maulana Baihaqi, Sitaresmi Wahyu Handani

Abstract


Rice is a type of plant that is very easy to find, especially those who live in rural areas. Most people make rice as a source of staple food. One of them is in Bugel Sampang Hamlet, Central Java, where the agricultural sector of the village often experiences rice harvest failure due to dry weather. The hilly geographical conditions that do not allow irrigation systems are the main problem, while the soil fertility of the hamlet is relatively good, as a result farmers find it difficult to optimize the treatment dose for agricultural land due to dry weather which often makes harvest conditions less than optimal. From the problems described above, the researcher aims to create an internet of things-based prototype by integrating a realtime firebase cloud service database, so that farmers can monitor the condition of their rice fields in real time, as well as monitor the weather that can be accessed using a website-based system. The method used is to integrate a microcontroller with sensors, namely DHT11, soil moisture sensor, barometer or air pressure sensor, anemometer or wind speed sensor, rainfall sensor, raindrop sensor using Arduino Mega 2560 and NodeMCU. Then the sensor acquisition data on the Arduino Mega 2560 is sent to the NodeMCU Lua Wifi V3 ESP8266 ESP12 using a JSON variable to be sent to firebase with an internet connection. The prototype has gone through thirty days running tests, while testing the information system using blackbox testing with data from the firebase realtime database. The results of the study concluded that the prototype was able to monitor the condition of the land properly and the system worked well and could support the optimization of farmers in the treatment of rice fields, so that the use of fertilizers, water, and other treatment efforts became more efficient.

Keywords


Internet of Things, Microcontroller, Paddy field

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References


BMKG. (2021). Probabilistik Curah Hujan 20 mm (tiap 24 jam). https://www.bmkg.go.id/cuaca/probabilistik-curah-hujan.bmkg

Bojong. (2022). Desa Bojong Kecamatan Kawunganten Kabupaten Cilacap. http://bojong-kawunganten.cilacapkab.go.id/

BPS. (2022). Luas Panen, Produksi, dan Produktivitas Padi Menurut Provinsi 2020-2022. https://www.bps.go.id/indicator/53/1498/1/luas-panen-produksi-dan-produktivitas-padi-menurut-provinsi.html

Fawaiq, M. N., Jazuli, A., & Hakim, M. M. (2019). Prediksi Hasil Pertanian Padi Di Kabupaten Kudus Dengan Metode Brown’s Double Exponential Smoothing. In JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) (Vol. 4, Issue 2, p. 78). STKIP PGRI Tulungagung. https://doi.org/10.29100/jipi.v4i2.1421

Flores, K. O., Butaslac, I. M., Gonzales, J. E. M., Dumlao, S. M. G., & Reyes, R. S. J. (2016). Precision agriculture monitoring system using wireless sensor network and Raspberry Pi local server. In 2016 IEEE Region 10 Conference (TENCON). IEEE. https://doi.org/10.1109/tencon.2016.7848600.

Gunawan, I. K. W., Nurkholis, A., Sucipto, A., & Afifudin, A. (2020). Sistem monitoring kelembaban gabah padi berbasis Arduino. Jurnal Teknik Dan Sistem Komputer, 1(1), 1-7. https://doi.org/10.33365/jtikom.v1i1.4

Granell, C., Kamilaris, A., Kotsev, A., Ostermann, F. O., & Trilles, S. (2020). Internet of things. Manual of digital earth, 387-423.

James, J., & Maheshwar P, M. (2016). Plant growth monitoring system, with dynamic user-interface. In 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC). IEEE. https://doi.org/10.1109/r10-htc.2016.7906781.

Julham, Adam, H. A., Lubis, A. R., & Lubis, M. (2019). Development of Soil Moisture Measurement With Wireless Sensor Web-based Development of soil moisture measurement with wireless sensor web-based concept. February, 514–520. https://doi.org/10.11591/ijeecs.v13.i2.pp514-520

Karim, F., Karimb, F., & Frihidab, A. (2017). Monitoring system using web of things in precision agriculture. Procedia Computer Science, 110, 402–409. https://doi.org/10.1016/j.procs.2017.06.083

Meher, C. P., Sahoo, A., & Sharma, S. (2019). IoT based Irrigation and Water Logging monitoring system using Arduino and Cloud Computing. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, March, 10–15. https://doi.org/10.1109/ViTECoN.2019.8899396

Nama, G. F., Setia, H. N., Komarudin, M., Muhammad, M. A., Informatika, T., & Lampung, U. (2020). Prototype Sistem Pintar Pengelolaan Taman Bunga Berbasis Teknologi Internet of Things (Studi Kasus Taman Kupu-Kupu Gita Persada). 21(1), 26–33.

Nurhakim, I., Harsani, P., Si, M., Ardiansyah, D., & Kom, M. (2015). Model Alat Pengusir Hama Padi Berbasis Internet of Things (Iot).

Oo, Z., Lai, T., Ko, S., & Moe, A. (2019). IoT based Weather Monitoring System Using Firebase Real Time Database with Mobile Application. In International Symposium on Environmental-Life Science and Nanoscales Technology.

Parawansa, A. A. C., Hanuranto, A. T., & Raniprima, S. (2021). Perancangan Dan Implementasi Database Budidaya Tanaman Kangkung Darat Dengan Sistem Internet of Things. E-Proceedings of Engineering, 8(5).

Pratiwi, R., Sembodo, D. R. J., & Hidayat, K. F. (2016). Efikasi Herbisida Penoksulam Terhadap Pertumbuhan Gulma Umum Pada Budidaya Tanaman Padi Sawah. Jurnal Agrotek Tropika, 4(1), 16–21. https://doi.org/10.23960/jat.v4i1.1889

Saydi, R. (2021). Monitoring Curah Hujan dan Kelengasan Tanah Lahan Pertanian Menggunakan Sensor Berbasis Internet of Things (IoT) sebagai Dasar Pertanian Presisi. Jurnal Ilmiah Teknologi Pertanian Agrotechno, 6(1), 25-31. doi:10.24843/JITPA.2021.v06.i01.p04.

Soontranon, N., Tangpattanakul, P., Srestasathiern, P., & Rakwatin, P. (2014). An agricultural monitoring system: Field server data collection and analysis on paddy field. 2014 14th International Symposium on Communications and Information Technologies (ISCIT). IEEE. https://doi.org/10.1109/iscit.2014.7011985.

Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif dan R&D. Bandung: CV Alfabeta.

Syadza, Q., Permana, A. G., & Ramadan, D. N. (2018). Pengontrolan dan Monitoring Prototype Greenhouse Menggunakan Mikrokontroler dan Firebase. Eproceeding Telkom University Open Library, 4(1), 192–197.

Taris, L., Cahyadi, A., Nurmala, N., Jaya, H., & Shalihah, A. (2022). IoT-Based Smart Irrigation System for Rice Fields. Research Square Platform LLC. https://doi.org/10.21203/rs.3.rs-1265860/v1

Wahyudi, D. A., Adi Wibowo, S., & Primaswara P, R. (2021). Rancang Bangun Sistem Padi Aquaponic Berbasis IoT (Internet of Things). In JATI (Jurnal Mahasiswa Teknik Informatika) (Vol. 5, Issue 1, pp. 108–114). LPPM ITN Malang. https://doi.org/10.36040/jati.v5i1.3271.




DOI: http://dx.doi.org/10.35671/telematika.v16i1.2183

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Telematika
ISSN: 2442-4528 (online) | ISSN: 1979-925X (print)
Published by : Universitas Amikom Purwokerto
Jl. Let. Jend. POL SUMARTO Watumas, Purwonegoro - Purwokerto, Indonesia


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