Pengembangan Smart Tree-Tagging Berbasis AIoT untuk Monitoring Pemeliharaan Pohon Alpukat

Authors

  • I Made Surya Kumara Universitas Warmadewa
  • I Kadek Agus Wahyu Raharja Warmadewa University
  • I Made Adi Bhaskara Warmadewa University
  • Depandi Enda Politeknik Negeri Bengkalis
  • Ni Putu Widya Yuniari Warmadewa University

Keywords:

avocado trees, progressive web application, Artificial Intelligence, internet of things, digital agriculture

Abstract

Avocado cultivation often faces challenges in monitoring tree maintenance, particularly in relation to irrigation, fertilization, and efficient pest control. This study develops a Smart Tree Tagging system based on a Progressive Web App (PWA) integrated with NFC and barcode technology to digitally document tree conditions and maintenance history in real time. Each tree is assigned a unique tag that can be scanned using mobile devices to record fertilization, irrigation, pesticide spraying, and micro-environmental conditions. Trials conducted on 31 avocado trees of different varieties (Manalagi, Aligator, and Local) in Pempatan Village, Bali demonstrated that the system successfully recorded data accurately, presented information through an interactive dashboard, and generated agronomic recommendations using the AI model Gemma 3:1B. These recommendations included growth monitoring, moisture-based irrigation management, pesticide evaluation, and disease prevention relevant to humid environmental conditions (humidity 93%, temperature 16.98°C). The findings indicate that the proposed system can effectively support data-driven, digital, and sustainable farming practices.

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Published

2025-08-31

How to Cite

Kumara, I. M. S., Raharja, I. K. A. W., Bhaskara, I. M. A., Enda, D., & Yuniari, N. P. W. (2025). Pengembangan Smart Tree-Tagging Berbasis AIoT untuk Monitoring Pemeliharaan Pohon Alpukat. Jurnal RESISTOR (Rekayasa Sistem Komputer), 8(2), 59–69. Retrieved from http://ejournal.instiki.ac.id/index.php/jurnalresistor/article/view/1950