Pengembangan Aplikasi Berbasis Android untuk Sistem Irigasi pada Sistem Pertanian Cerdas Menggunakan Flutter

-


  • Wahyu Nur Laeli Septi Ningrum Universitas Islam Indonesia, Yogyakarta, Indonesia
  • Kurniawan Dwi Irianto * Mail Universitas Islam Indonesia, Yogyakarta, Indonesia
  • (*) Corresponding Author
Keywords: Smart Irrigation; Android Application; Internet of Things; Firebase Realtime Database; Flutter; System Usability Scale

Abstract

The agricultural sector plays a crucial role in supporting national food security. However, irrigation management that is still carried out manually often gives rise to various problems, such as water wastage, suboptimal watering, and the high time and labor demands on farmers in monitoring field conditions. Based on field observations, the watering process is still conducted manually, frequently resulting in delayed watering and uncontrolled water usage. The advancement of Internet of Things (IoT) technology provides opportunities to improve irrigation management efficiency through automated monitoring and control systems. This study aims to develop an Android-based smart irrigation system application for agriculture that can assist farmers in monitoring field conditions and controlling the irrigation system remotely. The development method employed is the Prototype model, which is a system development approach consisting of communication, quick planning, design, prototype construction, and testing phases. The application was developed using Flutter and Firebase Realtime Database and integrated with IoT devices to display soil moisture data, control irrigation pumps, display watering history, and provide real-time weather information. System testing was conducted using Black Box Testing to evaluate application functionality and the System Usability Scale (SUS) involving 10 respondents to assess the application's usability level. The Black Box Testing results demonstrated that all application functions operated with a 100% success rate, while the System Usability Scale (SUS) testing yielded an average score of 83, which falls into the Excellent category and Grade A. The findings indicate that the application was successfully developed and is capable of connecting with the IoT system in real-time, thereby facilitating more effective and efficient land monitoring and irrigation management. The contribution of this research is the development of an Android-based smart irrigation system application that integrates soil moisture monitoring, automatic and manual pump control, watering scheduling, notifications, watering history, and real-time weather information within a single platform connected to the Internet of Things (IoT).

Downloads

Download data is not yet available.

References

Abrar, A., & Tukino, T. (2023). Pengembangan sistem pengontrolan irigasi cerdas dengan teknologi Internet of Things (IoT). Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK), 5, 286–293. https://doi.org/10.33884/psnistek.v5i.8096

Anggraeni, N. M., Kinasih, R. E., & Ayuningtiyas, L. (2024). Analisis konsep penerapan mekanika dalam sistem irigasi pertanian berbasis teknologi. OPTIKA: Jurnal Pendidikan Fisika, 8(2), 248–257. https://doi.org/10.37478/optika.v8i2.4222

Anggraini, L., Maharani, Z. M. L., Sonadinata, H., Zulfari, S. Z., & Budiawati, Y. (2025). Literature review: Analisis implementasi IoT pada sistem irigasi cerdas untuk efisiensi penggunaan air. Integrative Perspectives of Social and Science Journal, 2(03), 3601–3611. https://ipssj.com/index.php/ojs/article/view/471

Ariawan, A. (2024). Smart Sprout: Irigasi cerdas berbasis AIoT untuk pertanian modern dan ramah lingkungan. Bit-Tech, 7(2), 434–444. https://doi.org/10.32877/bt.v7i2.1841

Ary Esta Dewi Wirastuti, N. M., Zamani Noor, Z., & Oka Saputra, K. (2022). Aplikasi sistem monitoring pengairan sawah Subak berbasis Android. Journal of Computer Science and Informatics Engineering (J-Cosine), 6(2), 123–132. https://doi.org/10.29303/jcosine.v6i2.449

Budiman, D. F., Misbahuddin, M., Iqbal, M. S., Rachman, A. S., & Akbar, L. A. S. I. (2024). Implementasi Internet of Things (IoT) dalam sistem irigasi tetes cerdas: Program pelatihan di SMK PP Negeri Mataram. Jurnal Abdi Insani, 11(4), 2278–2285. https://doi.org/10.29303/abdiinsani.v11i4.2005

Dianta, I. A., & Winarto, Y. (2025). Sistem irigasi cerdas berbasis IoT untuk mendukung ketahanan pangan di Desa Pentur. Elkom: Jurnal Elektronika dan Komputer, 18(1), 286–293. https://doi.org/10.51903/pws77s68

Djamen, A., & Kamasi, N. V. V. (2025). Pengembangan smart farming berbasis IoT untuk meningkatkan optimalisasi irigasi pertanian dalam mendukung ketahanan pangan nasional. Edutik: Jurnal Pendidikan Teknologi Informasi dan Komunikasi, 5(6), 2234–2249. https://calamus.id/index.php/edutik/article/view/213

Goda, K. D., & Neta, A. D. P. S. (2024). Kajian pengembangan Internet of Things (IoT) pada sektor pertanian di Kabupaten Ngada, Nusa Tenggara Timur. Jurnal Kridatama Sains dan Teknologi, 6(02), 478–493. https://doi.org/10.53863/kst.v6i02.1233

Haris, A., Anggraini, N., & Sikumbang, H. (2022). Teknologi irigasi cerdas pada sistem irigasi drip dengan algoritma Ant Colony Optimization. Jurnal Teknologi Informasi dan Ilmu Komputer, 9(6), 1289–1296. https://doi.org/10.25126/jtiik.2022955871

Hasibuan, M. R. R. (2023). Evaluasi efisiensi penggunaan air dalam pertanian berbasis teknologi irigasi modern. Open Science Framework. https://doi.org/10.31219/osf.io/kcvfy

Irianto, K. D. (2022). Design of smart farm irrigation monitoring system using IoT and LoRA. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 6(1), 47–56. https://doi.org/10.29207/resti.v6i1.3707

Irianto, K. D. (2022). Performance evaluation of LoRa in farm irrigation system with Internet of Things. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control. https://doi.org/10.22219/kinetik.v7i4.1551

Panunggul, V. B., Yusra, S., Khaerana, K., Tuhuteru, S., Fahmi, D. A., Laeshita, P., Rachmawati, N. F., Putranto, A. H., Ibrahim, E., Kamarudin, A. P., Sulthoniyah, S. T. M., & Firmansyah, F. (2023). Pengantar ilmu pertanian. Penerbit Widina.

Putri, R. N., Rozaki, Z., Wulandari, R., & Suryani, C. A. (2024). Aplikasi petani millenial meningkatkan produktivitas bidang pertanian: Millennial farmer app improves productivity in agriculture. Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference, 3(2). https://doi.org/10.18196/umygrace.v3i2.635

Qodriyah, L., Walid, M., & Ariyanto, F. (2025). Pengembangan sistem irigasi cerdas pada green house melalui aplikasi mobile berbasis IoT.

Suryanti, S., Mawandha, H. G., Himawan, A., & Widyasaputra, R. (2024). Aplikasi teknologi irigasi tetes pada kegiatan budidaya tanaman vanili di rumah kaca Dusun Sinogo, Pagerharjo, Samigaluh, Kulon Progo, Yogyakarta. Jurnal Abdi Insani. https://abdiinsani.unram.ac.id/index.php/jurnal/article/view/1351

Suwardoyo, U., & Mk, R. S. (2025). Monitoring irigasi otomatis berbasis IoT dan Android. Jurnal Sintaks Logika, 5(1), 104–115. https://doi.org/10.31850/jsilog.v5i1.3606

Wicaksana, M. H. A., & Irianto, K. D. (2026). FarmEye-AI: Bird pest repellent system based on edge AI and IoT in paddy fields for smart agriculture. Simtek: Jurnal Sistem Informasi dan Teknik Komputer, 11(1), 77–83. https://doi.org/10.51876/simtek.v11i1.1738


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Pengembangan Aplikasi Berbasis Android untuk Sistem Irigasi pada Sistem Pertanian Cerdas Menggunakan Flutter

Dimensions Badge
Article History
Published: 2026-07-10
Abstract View: 184 times
PDF Download: 89 times
Issue
Section
Articles