RANCANG BANGUN SISTEM MONITORING SUHU DAN KELEMBAPAN TANAH BERBASIS IoT UNTUK TANAMAN BAWANG MERAH DENGAN INTEGRASI GOOGLE SHEETS DI KABUPATEN ENREKANG
Abstract
Air temperature and soil moisture monitoring are important aspects of shallot cultivation because they affect plant growth and provide a basis for determining watering needs. However, field monitoring is still carried out manually, so information on field conditions cannot be obtained quickly or documented properly. This study aims to design and develop an Internet of Things (IoT)-based air temperature and soil moisture monitoring system for shallot plants in Enrekang Regency, integrated with Google Sheets and a web-based monitoring dashboard. The research method used is Research and Development (R&D) with Prototype development model. The system uses ESP32, a DHT11 sensor to measure air temperature, a Soil Moisture sensor to measure soil moisture, Google Apps Script for data transmission, Google Sheets as historical data storage, and a monitoring dashboard as the interface. The test results show that the DHT11 sensor has an average error of 1.14% with an average measurement difference of 0.29°C. The Soil Moisture sensor produced soil moisture categories consistent with the comparison instrument in each scenario. The system transmitted data to Google Sheets through Google Apps Script at 15-minute intervals without data loss. Stored data can be displayed through the dashboard, including air temperature, soil moisture, water requirement status, update time, and data logs. The water requirement determination algorithm also operated according to the threshold. The system provides field condition information in a more structured form that is easy for users to monitor. Thus, the developed system achieved the objectives and can be used to monitor shallot field conditions.
References
Abdiansyah, A., Rahman, A., & Maulidda, R. (2024). Sistem monitoring suhu dan kelembaban tanah untuk penyiraman tanaman otomatis berbasis IoT. Jurnal TELISKA, 17(2), 8–15. https://doi.org/10.5281/zenodo.12880568
Duhin Mukin, Y., & P, N. (2023). Simulasi jaringan smart home dengan sistem berbasis IoT. Jurnal Komunikasi, Sains dan Teknologi, 2(1), 159–168. https://doi.org/10.61098/jkst.v2i1.34
Dwi Saputra, R. (2022). Prototype sistem pengaturan kecepatan kipas DC otomatis menggunakan sensor PIR, sensor ultrasonik, sensor DHT11 berbasis mikrokontroler Arduino Uno dan NodeMCU. Jurnal Electrician, 16(1), 45–55. https://doi.org/10.23960/elc.v16n1.2208
Fatkhul Yaqin, M. B., Rintyarna, B. S., & Setyawan, H. (2024). Rancang bangun prototipe smart greenhouse berbasis IoT untuk mengontrol pertumbuhan tanaman bawang merah (Allium ascalonicum L.). Jurnal Teknik Elektro dan Komputasi (ELKOM), 6(1), 112–124. https://doi.org/10.32528/elkom.v6i1.20697
Hadi, S., Cahyati, A. I., Latif, K. A., Sujaka, T. T., & Zulfikri, M. (2023). Smart farming system pada tanaman bawang merah berbasis Internet of Things. Jurnal Sistem Informasi, 12(3), 739–753.
Jufri, M. T., Fauzia, F. A., Nurwaida, A. A., Ilhami, A. N., & Nugraha, R. (2025). Sistem monitoring smart greenhouse berbasis IoT pada budidaya bawang merah. Jurnal Nasional Teknologi Komputer, 5(2), 1–6. https://doi.org/10.61306/jnastek.v5i1.169
Rahmat Saputra. (2021). Sistem monitoring kelembaban tanah dan suhu greenhouse tanaman bawang merah berbasis IoT. Jurnal Perencanaan, Sains, Teknologi, dan Komputer, 4(1), 981–990.
Ridwan, M., & Sari, K. M. (2021). Application of IoT for automated controlling system of temperature, humidity, and acidity in hydroponics. Jurnal Teknik Pertanian Lampung, 10(4), 481–487.
Smith Simatupang, R., & Pangaribuan, E. B. E. (2022). The cultivation technology and the development direction of shallot crop (Allium ascalonicum L.) in peat land. Jurnal Sumberdaya Lahan, 16(1), 23–32. https://doi.org/10.21082/jsdl.v16n1.2022.23-32
Taufikulloh, M. D., & Wijayanto, B. (2020). Sistem informasi manajemen fasilitas sertifikasi halal, hak merek, kemasan produk pelaku usaha UMKM. Jurnal Teknik Informatika (JUTIF), 1(1), 35–43. https://doi.org/10.20884/1.jutif.2020.1.1.8
