Automatic Watering System Based on Internet of Thing (IoT) to Increase Agricultural Production
DOI:
https://doi.org/10.36448/jpmtb.v4i1.144Keywords:
internet ofthings, smart farming, automatic watering, farming, realtimeAbstract
Indonesia, as an agrarian country, faces challenges in efficient agricultural irrigation, primarily due to conventional watering methods that lack precision. The application of Internet of Things (IoT) technology offers a promising solution to improve water efficiency and agricultural productivity. This community service program aimed to enhance the understanding and skills of students and teachers at SMKN PP Lembang in designing and implementing an IoT-based automatic watering system. The program was conducted in three phases: preparation, training, and evaluation, using an educational and participatory approach. The results showed a significant increase in participants’ understanding of IoT concepts and applications—from 45% before training to 100% afterward. Participants also demonstrated strong readiness to adopt this technology in daily agricultural practices. This program proved effective in supporting the transformation of agriculture towards a more modern, precise, and sustainable system.
Downloads
References
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). A survey on sensor networks. IEEE Communications Magazine, 40(8), 102–114.
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805.
Daru, A. F., Adhiwibowo, W., & Hirzan, A. M. (2021). Model pemantau kelembaban dan irigasi sawah otomatis berbasiskan Internet of Things. Komputika Jurnal Sistem Komputer, 10(2), 119. https://doi.org/10.34010/komputika.v10i2.4515
FAO. (2020). The state of food and agriculture 2020. Food and Agriculture Organization of the United Nations.
FAO. (2021). Digital agriculture: Farmers in the driver's seat. Food and Agriculture Organization of the United Nations. Retrieved from https://www.fao.org
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Kementerian Pertanian. (2020). Laporan tahunan pembangunan pertanian. Jakarta: Kementerian Pertanian Republik Indonesia.
Marwondo, M., Sardjono, S., & Ardiansyah, I. (2023). Rancang bangun perangkat IoT untuk pengendalian pakan pada budidaya ikan hias cupang (Betta fish). Jurnal Accounting Information System (AIMS), 6(2), 149–161.
Marwondo, M., Sardjono, S., & Yonathan, M. A. (2024). Automation watering system berbasis IoT cerdas pada bawang merah. INTERNAL (Information System Journal), 6(2), 167–175. https://doi.org/10.32627/internal.v6i2.851
Marwondo, M. (2024). Pengendali kualitas air kolam budidaya air tawar berbasis IoT dan logika fuzzy. Voteteknika (Vocational Teknik Elektronika dan Informatika), 12(2).
Munir, R. (2021). Internet of Things: Konsep dan implementasi. Bandung: Informatika.
Pratilastiarso, J., Diana, L., Tridianto, E., & Safitra, A. G. (2021). Pemasangan smart solar water pump sebagai alat irigasi sawah di Desa Gayam Kabupaten Bojonegoro. Jurnal Pengabdian kepada Masyarakat, 27(1), 21. https://doi.org/10.24114/jpkm.v27i1.20801
Sharma, A., Singh, S., & Verma, R. (2020). Smart irrigation system using IoT. International Journal of Engineering Research & Technology (IJERT), 9(5), 234–238.
Situmorang, R., Prasetyo, R., & Lestari, D. (2021). Efisiensi penggunaan air dalam pertanian berbasis teknologi sensor. Jurnal Teknologi Pertanian Terapan, 6(2), 112–120.
Wahyudi, B. (2019). Teknologi sensor untuk pertanian cerdas. Jakarta: Pustaka Mandiri.
Xia, F., Yang, L. T., Wang, L., & Vinel, A. (2012). Internet of Things. International Journal of Communication Systems, 25(9), 1101–1102.
Zhang, Y., Wang, J., & Wu, L. (2020). Application of Internet of Things in smart agriculture: A review. IEEE Internet of Things Journal, 7(6), 5790–5803.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Marwondo, Reni Nursyanti , Mohamad Erlangga Kurnia
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Most read articles by the same author(s)
- Reni Nursyanti, R. Yadi, Luthfi Fadle , Implementasi dan Sosialisasi Aplikasi Pengolahan Data Kesejahteraan Keluarga pada Program Dasa Wisma Pkk Pendataan Keluarga Rw.06 Desa Cimekar Kabupaten Bandung , Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB): Vol. 1 No. 1 (2022): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
- Reni Nursyanti, Marwodo M, Digital Marketing bagi Pemula untuk Peningkatan Penjualan Produk UMKM pada Anggota Karang Taruna Budhi Wibawa , Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB): Vol. 2 No. 2 (2023): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi Oktober)
- Reni Nursyanti, Elia Setiana, Marwondo, Venia Restreva Danestiara, Graha Prakarsa, Muhammad Ikhsan Nur, Yesaya Teofilus Hendrawan, Optimasi Penggunaan Teknologi Dan Akses Digital Untuk Pendidikan Lanjutan Pada Kober Nurul Ikhlas , Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB): Vol. 3 No. 2 (2024): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi Oktober)
- Imannudin Akbar, Reni Nursyanti, Muhammad Wahyu Ramadhani, Dani Setiawan, Introduction Training on How Search Engine Marketing Works for Digital Marketing Platforms for students of SMAN 16 Bandung , Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB): Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
