Development of an Internet of Things (IoT)-based horticultural greenhouse microclimate monitoring system using the firebase realtime database platform

Pengembangan sistem pemantauan iklim mikro greenhouse hortikultura berbasis Internet ofTthings (IoT) menggunakan platform firebase realtime database

Authors

  • Aisah Lestari Program Studi Teknik Pertanian, Fakultas Teknologi Pangan dan Agroindustri Universitas Mataram
  • Joko Sumarsono Program Studi Teknik Petranian, Fakultas Teknologi Pangan dan Agroindustri, Universitas Mataram, Indonesia
  • Oki Saputra Program Studi Teknik Petranian, Fakultas Teknologi Pangan dan Agroindustri, Universitas Mataram, Indonesia
  • Asih Priyati Program Studi Teknik Petranian, Fakultas Teknologi Pangan dan Agroindustri, Universitas Mataram, Indonesia

DOI:

https://doi.org/10.31764/jau.v13i03.60

Keywords:

ADDIE, Firebase Realtime Database, Internet of Things, Keandalan Sistem, Monitoring

Abstract

The development of Internet of Things (IoT) technology enables real-time environmental monitoring over the internet. In horticultural greenhouses, microclimate monitoring is essential to support effective crop management. This study aimed to develop an IoT-based greenhouse microclimate monitoring system using ESP32 and Firebase Realtime Database. Additionally, the study evaluated the communication performance and reliability of the developed system. The research employed an experimental method based on the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) development model and was conducted over a four-day period at Kanopi Hijau Greenhouse, Mataram City, Indonesia, with shallot (Allium cepa L. var. aggregatum) as the study object. The system utilized BME280, SHT3x, and GY-302 sensors, with data transmitted at 10-minute intervals, resulting in 536 data records. The analyzed parameters included RSSI, packet loss, and system reliability. The results showed that RSSI values ranged from −48 dBm to −73 dBm, with signal quality classified as good to very good. Packet loss was generally 0%, however, on the second day, it reached approximately 89% due to network disturbances. Reliability analysis demonstrated a Mean Time Between Failure (MTBF) of 1.73 hours and an availability of 90.28%. These values indicate that the system possesses adequate communication performance and reliability for real-time monitoring.  

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Published

2026-07-23

Issue

Vol. 13 No. 03 (2026): Jurnal Agrotek Ummat : Juli 2026 (ON PROGRESS)

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Copyright (c) 2026 Lestari, Sumarsono, Saputra, & Priyati

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