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Perancangan Alat Deteksi Tingkat Kematangan Buah Mangga Indramayu Berdasarkan Kandungan Gas dan Pengolahan Citra Menggunakan YOLOv11
Adi Kusuma
; Jasmir Jasmir
; Willy Riyadi
; Ahmad Ahmad
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Indramayu mango is a seasonal fruit that is highly favored due to its delicious taste and high nutritional content. However, high mango production is often not supported by adequate post-harvest facilities, particularly in terms of fruit ripeness classification. Currently, mango ripeness classification is still performed manually, which tends to be subjective and inconsistent. To address this issue, this study proposes a ripeness detection system for Indramayu mangoes by integrating the TGS2602...
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Evolusi Performa Arsitektur Deep Learning melalui Optimasi Bertahap dan Interpretabilitas Grad-CAM untuk Klasifikasi Penyakit Ikan Air Tawar
Sasa Kirana Wulandari
; Fachruddin Fachruddin
; Jasmir Jasmir
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Freshwater fish diseases significantly affect aquaculture productivity and economic sustainability, while accurate visual classification remains challenging due to interclass similarity and image variability. This study presents a comparative evaluation of three deep learning architectures—DenseNet201, ResNet50, and EfficientNetV2-S—using a stepwise optimization strategy combined with Gradient-weighted Class Activation Mapping (Grad-CAM) for freshwater fish disease classification. Models were tr...
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Optimasi XGBoost Dengan SHAP Untuk Sistem Skrining Penyakit Jantung
Clara Zuliani Syahputri
; Jasmir Jasmir
; Fachruddin Fachruddin
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Heart disease is the leading cause of death in Indonesia and globally, necessitating an early screening system that is both accurate and clinically trustworthy. Although XGBoost demonstrates high predictive performance, its black-box nature undermines clinical trust, while low recall risks missed diagnosis an unacceptable consequence in population screening, especially in middle-income countries with limited healthcare resources. This study aims to develop a sensitive, transparent, and implement...
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