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Open access Sep 2026

Klasifikasi Multi Penyakit Tanaman Pepaya Berdasarkan Citra Daun Berbasis Deep Learning Menggunakan Convolutional Neural Network (CNN)

Penyakit pada tanaman pepaya seperti Anthracnose, Bacterial Spot, Curl, dan Ring Spot dapat menurunkan produktivitas dan kualitas hasil panen secara signifikan. Keterbatasan metode konvensional yang mengandalkan pengamatan visual secara manual menyebabkan proses identifikasi penyakit menjadi tidak konsisten, memakan wa...

H. Wahyudi, A. Fadlil, H. Herman · 0 citations
Open access 2026

Semi-Supervised Rice Leaf Disease and Pest Classification Using IoT Field Images

Rice is a vital crop for global food security, but its productivity is frequently threatened by diseases and pests, necessitating rapid and accurate detection. This study presents a semi-supervised deep learning approach to automate the classification of ten categories of rice leaf conditions, including seven diseases,...

Abdul Azis, A. Fadlil, Tole Sutikno · 0 citations
Open access Sep 2026

Development of an Integrated IoT-based Monitoring System for a Three-Phase Induction Motor Using ESP32 and Industrial Power Meter

The validated platform provides a foundation for future LSTM-based predictive-maintenance research on three-phase induction motors and demonstrates consistent near-real-time monitoring, high HTTP transmission success, and complete sequence integrity within the validated database records.

Nandar Nandar, A. Fadlil, Tole Sutikno · 0 citations
Open access Aug 2026

Vision Transformer-Based Recognition of Riau Malay Architectural Features with Cross-Regional Comparison for Digital Heritage Documentation

This study evaluates a Vision Transformer model initialised with ImageNet-1K pretrained weights for recognising Riau Malay architectural features, using Pontianak Malay architecture for cross-regional comparison to demonstrate ViT-B/16’s strong potential to support the digital recognition of Malay architectural heritag...

Heri Pramono, Sri Winiarti, A. Fadlil et al. · 0 citations

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