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All Journal Jurnal Sains, Teknologi dan Komputer
Muhammad Irfan
Universitas Muhammadiyah Sumatera Utara
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Pengembangan sistem pertanian cerdas berbasis IOT untuk deteksi dini hama pada tanaman padi Muhammad Irfan; Fatma Sari Hutagalung
Jurnal Sains, Teknologi & Komputer Vol. 2 No. 3 (2025): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v2i3.1284

Abstract

Golden apple snails represent a critical threat that drastically diminishes rice crop productivity. This study aims to develop an Internet of Things (IoT)-based smart farming system for the early detection of golden apple snail infestations in paddy fields. The system employs an external Logitech camera integrated with the YOLOv8 object detection model, supported by DHT22, soil moisture, and LDR sensors to monitor microclimate variables in real time. Applying the Research and Development (R&D) framework, field testing was conducted over three consecutive days in the rice fields of Dolok Masihul. System evaluation involved direct field observation, functional black-box assessments, and user perception surveys using the Technology Acceptance Model (TAM). The results demonstrate that the system successfully identifies golden apple snails accurately across varying ambient lighting conditions and attains an overall user acceptance rate of 90.63%.
Co-Authors Fatma Sari Hutagalung