Monitoring Manajemen Irigasi Pada Budidaya Melon Berbasis IoT

Fadli Irsyad; Khairil Agustoria

doi:10.29303/jrpb.v14i1.1231

Monitoring Irrigation Management in Melon Cultivation using IoT

Authors

Fadli Irsyad , Khairil Agustoria

DOI:

10.29303/jrpb.v14i1.1231

Published:

2026-03-26

Issue:

Vol. 14 No. 1 (2026): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem

Keywords:

Drip irrigation, Fertigation system, Melon cultivation, Microcontroller, Sensor monitoring

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Irsyad, F., & Agustoria, K. (2026). Monitoring Irrigation Management in Melon Cultivation using IoT. Jurnal Ilmiah Rekayasa Pertanian Dan Biosistem, 14(1), 33–49. https://doi.org/10.29303/jrpb.v14i1.1231

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Abstract

Uncertainty in irrigation water supply in agricultural land is often one of the main factors causing a decline in crop production capacity. Manual irrigation not only requires additional labor but also consumes considerable time, thereby reducing farmers’ work efficiency. Therefore, innovations are needed in the form of a more modern, efficient irrigation system capable of adjusting to crop requirements in real time. The main objective of this study is to develop a drip irrigation monitoring and control system based on the Internet of Things (IoT) to meet the water and nutrient needs of melon plants. The designed system utilizes a capacitive soil moisture sensor, a soil pH sensor, and a DHT-22 temperature and humidity sensor. All sensors are connected to an ESP32 microcontroller, which processes the data and automatically transmits it to a spreadsheet application for recording and monitoring purposes. The fertigation system has dimensions of 510 × 150 cm and applies drip irrigation technology controlled automatically based on soil moisture and soil acidity (pH) values. The results of the correlation analysis showed that the average coefficients of determination (R²) for the soil moisture sensor, soil pH sensor, and DHT-22 sensor were 0.8395, 0.9896, and 0.984, respectively. Plant observations indicated that the average plant height in the automated system was 48.19 cm, which was higher than the control plants at 43.69 cm. Thus, the IoT-based fertigation system proved to operate effectively, more efficiently, and with better performance compared to conventional methods.

References

Adamczewska-Sowińska, K. (2024). The Use of Soil Surface Mulching on Melon (Cucumis melo L.) Production under Temperate Climate Conditions. Agriculture (Switzerland), 14(8). https://doi.org/10.3390/agriculture14081398 DOI: https://doi.org/10.3390/agriculture14081398

Agnestin, M., Hayati, I. R., Si, M., & Riduansyah, I. H. (2021). Studi Status Hara Nitrogen (N), Fospor (P), Dan Kalium (K) Pada Tanah Sawah Di Desa Menjalin Kecamatan Menjalin Kabupaten Landak. Jurnal Sains Pertanian Equator, 11(1).

Card, B. A., & Bauder, T. (2019). Determining Irrigation Run Times with Drip Tape on Specialty Crops Quick Facts. Colorado State University Extension.

Farooq, M. S., Riaz, S., Abid, A., Umer, T., & Zikria, Y. Bin. (2020). Role of iot technology in agriculture: A systematic literature review. Electronics (Switzerland), 9(2). https://doi.org/10.3390/electronics9020319 DOI: https://doi.org/10.3390/electronics9020319

Fikrilah, N. (2022). Rancang Bangun Sistem Fertigation Irigasi dan Pemupukan Otomatis Berbasis Internet of Things (IoT) Pada Tanaman Bayam (Amaranthus). universitas andalas.

Gasch, C., & Dejong-hughes, J. (2019). Soil Organic Matter Does Matter (p. SF1942). North Dakota State University.

Haafizhah, F. N., Anifah, L., Endryansyah, & Zuhrie, M. S. (2022). Rancang Bangun Sistem Perhitungan Pemakaian Daya Pada Apartemen Secara Real-Time Berbasis Arduino. Jurnal Teknik Elektro, 11(11 Nomor 2), 314–321.

Handajaningsih, M., Hasanudin, Saputra, H. E., Marwanto, & Yuningtyas, A. P. (2019). Modification of growing medium for container melon (Cucumismelo L.) production using goat manure and dolomite. International Journal on Advanced Science, Engineering and Information Technology, 9(2), 441–447. https://doi.org/10.18517/ijaseit.9.2.2543 DOI: https://doi.org/10.18517/ijaseit.9.2.2543

Handayani, T., & Irawati, T. (2022). Efisiensi Sistem Irigasi Tetes ( Drip Irrigation ) Pada Tanaman Melon Varietas Japonika. Jurnal Pertanian Agros, 24(1), 337–341.

Hodges, B., Tagert, M. L., Paz, J. O., & Meng, Q. (2023). Assessing in-field soil moisture variability in the active root zone using granular matrix sensors. Agricultural Water Management, 282(June 2022), 108268. https://doi.org/10.1016/j.agwat.2023.108268 DOI: https://doi.org/10.1016/j.agwat.2023.108268

Jeon, Y. J., Kim, J. Y., Hwang, K. S., Cho, W. J., Kim, H. J., & Jung, D. H. (2024). Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons. Agronomy, 14(5), 1–18. https://doi.org/10.3390/agronomy14051070 DOI: https://doi.org/10.3390/agronomy14051070

K, G., & Maria John, D. P. (2024). Smart Irrigation System Using Iot. Iarjset, 11(6), 127–137. https://doi.org/10.17148/iarjset.2024.11617 DOI: https://doi.org/10.17148/IARJSET.2024.11617

Karamina, H., Fikrinda, W., & Murti, A. T. (2018). Kompleksitas pengaruh temperatur dan kelembaban tanah terhadap nilai pH tanah di perkebunan jambu biji varietas kristal (Psidium guajava l.) Bumiaji, Kota Batu. Kultivasi, 16(3), 430–434. https://doi.org/10.24198/kultivasi.v16i3.13225 DOI: https://doi.org/10.24198/kultivasi.v16i3.13225

Kumar, V., Sharma, K. V., Kedam, N., Patel, A., Kate, T. R., & Rathnayake, U. (2024). A comprehensive review on smart and sustainable agriculture using IoT technologies. Smart Agricultural Technology, 8(June), 100487. https://doi.org/10.1016/j.atech.2024.100487 DOI: https://doi.org/10.1016/j.atech.2024.100487

Moh. Jalik, A. W. (2021). Rancang Bangun Sistem Vertical Farming dengan Irigasi dan Pencahayaan Berbasis Internet of Things (IoT) pada Tanaman Kangkung (Ipomoea reptans poir).

Muhaimin, M. Y., Rahma Annisa, A., & Montolalu, B. (2022). Rancang Bangun Smart System Green House untuk Budidaya Melon Berbasis PLC. Journal of Technology and Informatics (JoTI), 4(1), 26–30. https://doi.org/10.37802/joti.v4i1.260 DOI: https://doi.org/10.37802/joti.v4i1.260

Okasha, A. M., Deraz, N., Elmetwalli, A. H., Elsayed, S., Falah, M. W., Farooque, A. A., & Yaseen, Z. M. (2022). Effects of Irrigation Method and Water Flow Rate on Irrigation Performance , Soil Salinity , Yield , and Water Productivity of Cauliflower. Agriculture Mdpi, 12, 1–18. DOI: https://doi.org/10.3390/agriculture12081164

Sharma, S., & Shurbi, M. (2025). IOT Based Smart Irrigation and Soil Monitoring System for Precision Farming. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 13(Issue XII Dec 2025-Available at www.ijraset.com IOT), 1774–1778. https://doi.org/https://doi.org/10.22214/ijraset.2025.76095 DOI: https://doi.org/10.22214/ijraset.2025.76095

Soulis, K. X., Elmaloglou, S., & Nicholas Dercas. (2015). Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems. Agricultural Water Management, 148, 258–268. DOI: https://doi.org/10.1016/j.agwat.2014.10.015

Sumarsono, A. dan joko. (2015). Jurnal Ilmiah Rekayasa Pertanian dan Biosistem, Vol.3, No. 1, Maret 2015 Rancang Bangun Alat Penyiraman Tanaman Dengan Pompa Otomatis Sistem Irigasi Tetes Pada Lahan Kering. jurnal ilmiah rekayasa pertanian dan biosistem, 3(1), 95–101. DOI: https://doi.org/10.29303/jrpb.v3i1.8

Sutomo, B., Tri Aristi, S., & Ilham Wahyu, S. *. (2025). Utilizing IoT Technology for Soil Moisture Management through Integration of pH and Moisture Sensors in an Android Application for Rice Farming. International Journal Software Engineering and Computer Science (IJSECS), 5(April), 248–258. DOI: https://doi.org/10.35870/ijsecs.v5i1.3538

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Monitoring Irrigation Management in Melon Cultivation using IoT

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