Arsitektur Sistem Internet of Things (IoT) pada Irigasi Tetes Cerdas Tanaman Melon
Kata Kunci:
Arsitektur IoT, Irigasi Tetes Cerdas, Komputasi Tepi, Tanaman Melon, Tinjaun Literatur SistematisAbstrak
Penerapan Internet of Things (IoT) dalam pertanian presisi pada budidaya melon saat ini masih menemui kendala berupa rendahnya efisiensi jaringan dan tingginya latensi proses aktuasi, yang sebagian besar disebabkan oleh ketergantungan sistem terhadap komputasi awan (cloud-centric). Penelitian ini bertujuan merancang sebuah arsitektur sistem IoT empat lapisan untuk irigasi tetes pintar yang bersifat terdistribusi, dengan kalibrasi yang disesuaikan terhadap karakteristik agronomis spesifik tanaman melon. Pendekatan yang digunakan adalah Systematic Literature Review (SLR) dengan mengadopsi protokol PRISMA sebagai acuan standar. Proses sintesis data dilakukan melalui perbandingan terhadap 23 sumber literatur terbaru (2023–2025) yang membahas arsitektur irigasi berbasis IoT. Temuan penelitian menunjukkan bahwa arsitektur irigasi yang bertumpu pada cloud memiliki tingkat kerentanan tinggi terhadap kegagalan sistem, terutama bila diterapkan pada lahan pertanian dengan kondisi marjinal. Untuk mengatasi hal tersebut, penelitian ini mengusulkan sebuah arsitektur baru yang menggabungkan Edge Computing pada lapisan Middleware dengan menggunakan protokol komunikasi ringan MQTT. Dengan memindahkan proses pengambilan keputusan ke tingkat lokal, sistem ini mampu menghasilkan respons aktuasi yang nyaris tanpa latensi (zero-latency). Di samping itu, algoritma irigasi dirancang secara khusus agar selaras dengan fase pertumbuhan vegetatif dan fase pematangan buah melon, guna mengatur tingkat stres air secara terkendali sebagai upaya meningkatkan kadar kemanisan (Brix) buah. Kontribusi utama dari penelitian ini adalah tersusunnya cetak biru arsitektur IoT berbasis Local-Intelligence yang tahan terhadap gangguan konektivitas, efisien dalam penggunaannya, serta relevan untuk diterapkan dalam praktik hortikultura
Unduhan
Referensi
[1] S. S. Mane, V. Narawade, and N. J. Ranshur, “Revolutionizing Agriculture Soil Testing with Agriculture 4.0 and IoT Integration,” Current Agriculture Research Journal, vol. 12, no. 3, pp. 1333–1344, Jan. 2025, doi: 10.12944/CARJ.12.3.26.
[2] V. Choudhary, P. Guha, G. Pau, and S. Mishra, “An overview of smart agriculture using internet of things (IoT) and web services,” Environmental and Sustainability Indicators, vol. 26, p. 100607, Jun. 2025, doi: 10.1016/j.indic.2025.100607.
[3] G. Saha, F. Shahrin, F. H. Khan, M. M. Meshkat, and A. A. M. Azad, “Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system,” PLoS One, vol. 20, no. 3, p. e0319268, Mar. 2025, doi: 10.1371/journal.pone.0319268.
[4] A. Manocha, S. K. Sood, and M. Bhatia, “IoT-digital twin-inspired smart irrigation approach for optimal water utilization,” Sustainable Computing: Informatics and Systems, vol. 41, p. 100947, Jan. 2024, doi: 10.1016/j.suscom.2023.100947.
[5] N. N. Thilakarathne, M. S. A. Bakar, P. E. Abas, and H. Yassin, “Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture,” Front. Plant Sci., vol. 13, Jan. 2023, doi: 10.3389/fpls.2022.1030168.
[6] F. P. E. Putra, F. Fauzan, S. Syirofi, M. Mursidi, D. Wahid, and A. Nuraini, “Sistem Pengendali Lingkungan Pertanian Dengan Wireless Sensor Network Untuk Mengoptimalkan Budidaya Hidroponik,” Digital Transformation Technology, vol. 3, no. 2, pp. 931–937, Jan. 2024, doi: 10.47709/digitech.v3i2.3461.
[7] M. Ercan, H. Çoklar, M. Akbulut, D. Yavuz, M. Seymen, and N. Yavuz, “Effect of Irrigation Regime on Chemical, Physico-Chemical, and Functional Properties of Melon Fruits and Seeds,” Gesunde Pflanzen, vol. 75, no. 6, pp. 2835–2845, Dec. 2023, doi: 10.1007/s10343-023-00900-w.
[8] T. Thongleam, K. Meethaworn, and S. Kuankid, “Enhancing melon yield through a low-cost drip irrigation control system with time and soil sensor,” Research in Agricultural Engineering, vol. 70, no. 1, pp. 13–22, Mar. 2024, doi: 10.17221/20/2023-RAE.
[9] A. Tyagi et al., “Uncovering the effect of waterlogging stress on plant microbiome and disease development: current knowledge and future perspectives,” Front. Plant Sci., vol. 15, Jun. 2024, doi: 10.3389/fpls.2024.1407789.
[10] R. M. Panda, A. Matese, D. Maachi, and K. Aberkani, “Water stress impacts on the growth and productivity of melon crops in a Mediterranean climate,” Irrig. Sci., vol. 43, no. 5, pp. 1159–1168, Sep. 2025, doi: 10.1007/s00271-024-00972-0.
[11] M. Ercan, H. Çoklar, M. Akbulut, D. Yavuz, M. Seymen, and N. Yavuz, “Effect of Irrigation Regime on Chemical, Physico-Chemical, and Functional Properties of Melon Fruits and Seeds,” Gesunde Pflanzen, vol. 75, no. 6, pp. 2835–2845, Dec. 2023, doi: 10.1007/s10343-023-00900-w.
[12] H. Buczkowska, A. Sałata, and R. Nurzyńska-Wierdak, “Melon (Cucumis melo L.) Fruit Yield under Irrigation and Mycorrhiza Conditions,” Agronomy, vol. 13, no. 6, p. 1559, Jun. 2023, doi: 10.3390/agronomy13061559.
[13] A. A. Abdelmoneim, H. N. Kimaita, C. M. Al Kalaany, B. Derardja, G. Dragonetti, and R. Khadra, “IoT Sensing for Advanced Irrigation Management: A Systematic Review of Trends, Challenges, and Future Prospects,” Sensors, vol. 25, no. 7, p. 2291, Apr. 2025, doi: 10.3390/s25072291.
[14] Z. E. Mohamed, M. K. Afify, M. M. Badr, and O. A. Omar, “IoT-driven smart irrigation system to improve water use efficiency,” Sci. Rep., vol. 16, no. 1, p. 2609, Jan. 2026, doi: 10.1038/s41598-025-33826-6.
[15] Y. K. Kushwaha, A. Joshi, R. K. Panigrahi, and A. Pandey, “Development of a smart irrigation monitoring system employing the wireless sensor network for agricultural water management,” Journal of Hydroinformatics, vol. 26, no. 12, pp. 3224–3243, Dec. 2024, doi: 10.2166/hydro.2024.241.
[16] R. K. Jain, “Experimental performance of smart IoT-enabled drip irrigation system using and controlled through web-based applications,” Smart Agricultural Technology, vol. 4, p. 100215, Aug. 2023, doi: 10.1016/j.atech.2023.100215.
[17] N. N. Thilakarathne, M. S. A. Bakar, P. E. Abas, and H. Yassin, “Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture,” Front. Plant Sci., vol. 13, Jan. 2023, doi: 10.3389/fpls.2022.1030168.
[18] P. Yu, F. Teng, W. Zhu, C. Shen, Z. Chen, and J. Song, “Cloud–edge–device collaborative computing in smart agriculture: architectures, applications, and future perspectives,” Front. Plant Sci., vol. 16, Oct. 2025, doi: 10.3389/fpls.2025.1668545.
[19] M. Dong, H. Yu, Z. Sun, L. Zhang, Y. Sui, and R. Zhao, “Research on agricultural environmental monitoring Internet of Things based on edge computing and deep learning,” Journal of Intelligent Systems, vol. 33, no. 1, May 2024, doi: 10.1515/jisys-2023-0114.
[20] Y. Zhang et al., “Research and Development of an IoT Smart Irrigation System for Farmland Based on LoRa and Edge Computing,” Agronomy, vol. 15, no. 2, p. 366, Jan. 2025, doi: 10.3390/agronomy15020366.
[21] A. E. Abioye et al., “Model based predictive control strategy for water saving drip irrigation,” Smart Agricultural Technology, vol. 4, p. 100179, Aug. 2023, doi: 10.1016/j.atech.2023.100179.
[22] M. Benzaouia, B. Hajji, A. Mellit, and A. Rabhi, “Fuzzy-IoT smart irrigation system for precision scheduling and monitoring,” Comput. Electron. Agric., vol. 215, p. 108407, Dec. 2023, doi: 10.1016/j.compag.2023.108407.
[23] A. A. Abdelmoneim, H. N. Kimaita, C. M. Al Kalaany, B. Derardja, G. Dragonetti, and R. Khadra, “IoT Sensing for Advanced Irrigation Management: A Systematic Review of Trends, Challenges, and Future Prospects,” Sensors, vol. 25, no. 7, p. 2291, Apr. 2025, doi: 10.3390/s25072291.
[24] C. C. Baseca, R. Dionísio, F. Ribeiro, and J. Metrôlho, “Edge-Computing Smart Irrigation Controller Using LoRaWAN and LSTM for Predictive Controlled Deficit Irrigation,” Sensors, vol. 25, no. 22, p. 7079, Nov. 2025, doi: 10.3390/s25227079.
[25] A. E G and G. J. Bala, “IoT and ML‐based automatic irrigation system for smart agriculture system,” Agron. J., vol. 116, no. 3, pp. 1187–1203, May 2024, doi: 10.1002/agj2.21344.
[26] S. Belkher et al., “Deficit Irrigation and an IoT-Based System for Improving Yield and Water Use Efficiency of Winter Wheat Grown Under Semi-Arid Conditions,” Agronomy, vol. 15, no. 1, p. 157, Jan. 2025, doi: 10.3390/agronomy15010157.
[27] S. R et al., “A novel autonomous irrigation system for smart agriculture using AI and 6G enabled IoT network,” Microprocess. Microsyst., vol. 101, p. 104905, Sep. 2023, doi: 10.1016/j.micpro.2023.104905.
[28] B. Jamshidi et al., “Internet of things-based smart system for apple orchards monitoring and management,” Smart Agricultural Technology, vol. 10, p. 100715, Mar. 2025, doi: 10.1016/j.atech.2024.100715.
[29] Fauzan Prasetyo Eka Putra, Dian Tri Agustina, Triana Selvia Khusnul Khotimah, and Tarisha Ramadhanty, “Analisis Kinerja Jaringan 5G dalam Meningkatkan Konektivitas Internet of Things (IoT),” Jurnal Informatika Dan Tekonologi Komputer (JITEK), vol. 5, no. 1, pp. 56–62, Mar. 2025, doi: 10.55606/jitek.v5i1.5836.
[30] Fauzan Prasetyo Eka Putra, Maktsuful Ghummah, Moh. Amrullah, and Rafli Hidayatullah, “Studi Kinerja Mesh Network untuk Penerapan Internet of Things (IoT) di Lingkungan Perkotaan,” Jurnal Informatika Dan Tekonologi Komputer (JITEK), vol. 5, no. 1, pp. 63–73, Mar. 2025, doi: 10.55606/jitek.v5i1.5895.
[31] N. Haidar, F. P. Eka Putra, M. Arifin, M. Yasir Zain, and I. Darmawan, “Desain dan Perancangan Smart Campus berbasis ZigBee Wireless Sensor Network,” Jurnal Inovasi Teknologi dan Edukasi Teknik, vol. 1, no. 11, pp. 842–850, Nov. 2021, doi: 10.17977/um068v1i112021p842-850.
[32] E. Artetxe, O. Barambones, I. Martín Toral, J. Uralde, I. Calvo, and A. del Rio, “Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration,” Electronics (Basel)., vol. 13, no. 10, p. 1949, May 2024, doi: 10.3390/electronics13101949.
[33] F. Fuentes-Peñailillo, S. Ortega-Farías, C. Acevedo-Opazo, M. Rivera, and M. Araya-Alman, “A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape,” Sensors, vol. 24, no. 1, p. 25, Dec. 2023, doi: 10.3390/s24010025.
[34] M. K. Meriç, “Implementation of a wireless sensor network for irrigation management in drip irrigation systems,” Sci. Rep., vol. 15, no. 1, p. 14157, Apr. 2025, doi: 10.1038/s41598-025-97303-w.
[35] S. Zapata-García, A. Temnani, P. Berríos, P. J. Espinosa, C. Monllor, and A. Pérez-Pastor, “Using Soil Water Status Sensors to Optimize Water and Nutrient Use in Melon under Semi-Arid Conditions,” Agronomy, vol. 13, no. 10, p. 2652, Oct. 2023, doi: 10.3390/agronomy13102652.
[36] A. Miceli, F. Vetrano, L. Torta, A. Esposito, and A. Moncada, “Effect of Mycorrhizal Inoculation on Melon Plants under Deficit Irrigation Regimes,” Agronomy, vol. 13, no. 2, p. 440, Feb. 2023, doi: 10.3390/agronomy13020440.
[37] J. J. Correa-Quiroz, M. A. Toribio-Barrueto, and C. Castro-Vargas, “IoT System with ESP32 for Smart Drip Irrigation and Climate Monitoring in Greenhouses,” Emerging Science Journal, vol. 9, no. 3, pp. 1133–1157, Jun. 2025, doi: 10.28991/ESJ-2025-09-03-01.
[38] B. Agustirandi, I. Inayah, N. S. Aminah, and M. Budiman, “Analysis comparison, calibration, and application of low-cost soil moisture in smart agriculture based on internet of things,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 22, no. 5, p. 1221, May 2024, doi: 10.12928/telkomnika.v22i5.25703.
[39] V. K. S, C. D. Singh, K. V. R. Rao, M. Kumar, and Y. A. Rajwade, “Development of a smart IoT‐based drip irrigation system for precision farming,” Irrigation and Drainage, vol. 72, no. 1, pp. 21–37, Feb. 2023, doi: 10.1002/ird.2757.
[40] H. Nurwarsito and R. W. Adaby, “Pengembangan Internet Of Things (IOT) Dalam Perekaman Data Iklim Mikro Dengan Platform Thingsboard,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 11, no. 6, pp. 1385–1398, Dec. 2024, doi: 10.25126/jtiik.2024118987.
[41] F. P. E. Putra, M. A. Mahmud, and I. S. Maqom, “Pengembangan Sistem Pemantauan Lingkungan Berbasis Internet of Things (IoT) di Kampus,” Digital Transformation Technology, vol. 3, no. 2, pp. 996–1001, Feb. 2024, doi: 10.47709/digitech.v3i2.3457.
[42] F. P. E. Putra, U. Ubaidi, M. A. Huda, H. Hasbullah, and A. Rohman, “Computer Network Management Optimization Through Big Data Analysis Using Time Series Analysis Method,” Brilliance: Research of Artificial Intelligence, vol. 4, no. 1, pp. 434–442, Aug. 2024, doi: 10.47709/brilliance.v4i1.4373.
[43] Syukur Toha Prasetyo and Syaiful Khoiri, “Implementation of an IoT-Based Drip Irrigation System for Cucumis melo Cultivation in Greenhouse Environments: Initial Evaluation,” Agricultural Revolution Journal, vol. 1, no. 1, pp. 13–21, May 2025, doi: 10.64570/agrivolution.v1i1.9.
[44] M. S. Nur Alif and K. M. Dian Pertiwi, “Design and Implementation of an IoT-Based Smart Drip Irrigation System Using Takagi-Sugeno Fuzzy Logic for Melon Cultivation,” Journal of Applied Informatics and Computing, vol. 9, no. 6, pp. 3499–3508, Dec. 2025, doi: 10.30871/jaic.v9i6.11424.
[45] F. P. E. Putra, U. Ubaidi, R. N. Saputra, F. M. Haris, and S. N. R. Barokah, “Application of Internet of Things Technology in Monitoring Water Quality in Fishponds,” Brilliance: Research of Artificial Intelligence, vol. 4, no. 1, pp. 356–361, Jul. 2024, doi: 10.47709/brilliance.v4i1.4231.
[46] S. Adriansyah, S. Sumarno, U. M. Nurfuha, A. Giffari, T. Khoirunisa, and W. G. Subarkah, “Performance Analysis of MQTT and HTTP Protocols on Low-Power ESP32 Devices for IoT Applications,” CoreID Journal, vol. 4, no. 1, pp. 38–45, May 2026, doi: 10.60005/coreid.v4i1.160.
[47] J. J. Correa-Quiroz, M. A. Toribio-Barrueto, and C. Castro-Vargas, “IoT System with ESP32 for Smart Drip Irrigation and Climate Monitoring in Greenhouses,” Emerging Science Journal, vol. 9, no. 3, pp. 1133–1157, Jun. 2025, doi: 10.28991/ESJ-2025-09-03-01.
[48] S. Zapata-García, A. Temnani, P. Berríos, P. J. Espinosa, C. Monllor, and A. Pérez-Pastor, “Using Soil Water Status Sensors to Optimize Water and Nutrient Use in Melon under Semi-Arid Conditions,” Agronomy, vol. 13, no. 10, p. 2652, Oct. 2023, doi: 10.3390/agronomy13102652.
[49] F. P. E. Putra, U. Ubaidi, A. Hamzah, W. A. Pramadi, and A. Nuraini, “Systematic Literature Review: Security Gap Detection On Websites Using Owasp Zap,” Brilliance: Research of Artificial Intelligence, vol. 4, no. 1, pp. 348–355, Jul. 2024, doi: 10.47709/brilliance.v4i1.4227.
[50] A. F. Rachman, F. P. E. Putra, S. Syirofi, and D. Wahid, “Case Study of Computer Network Development for the Internet Of Things (IoT) Industry in an Urban Environment,” Brilliance: Research of Artificial Intelligence, vol. 4, no. 1, pp. 399–407, Aug. 2024, doi: 10.47709/brilliance.v4i1.4302.
[51] Fauzan Prasetyo Eka Putra, Mustafida Mustafida, Royhan Alfadili, and Afifatun Nahriyah, “Perancangan Jaringan Nirkabel Berbasis Mesh untuk Menunjang Aplikasi Smart City,” Jurnal Informatika Dan Tekonologi Komputer (JITEK), vol. 5, no. 1, pp. 84–92, Mar. 2025, doi: 10.55606/jitek.v5i1.5934.
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