Analisis Pengaruh Kecepatan Konveyor dan Pencahayaan Terhadap Akurasi Klasifikasi Tomat Berbasis IoT

Authors

  • Muhamad Fajar Sayuto Universitas Nusantara PGRI Kediri Indonesia
  • Danar Putra Pamungkas Universitas Nusantara PGRI Kediri Indonesia
  • Made Ayu Dusea Widyadara Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/r2ra0a46

Abstract

Penelitian ini bertujuan untuk mengevaluasi optimalisasi sistem deteksi serta klasifikasi kematangan buah tomat berbasis Internet of Things (IoT) pada conveyor. Pengujian dilakukan menggunakan analisis multi-variabel yang menggabungkan kecepatan conveyor (80 RPM, 120 RPM, dan 240 RPM) terhadap tiga kondisi pencahayaan (Lampu LED, Cahaya Ruangan, dan Tanpa Cahaya) dengan total 90 sampel uji. Hasil menunjukkan kombinasi parameter paling optimal dicapai pada kecepatan conveyor 80 RPM dengan dukungan Lampu LED, menghasilkan akurasi klasifikasi tomat tertinggi sebesar 90% dan Average Confidence Score 0,815. Sebaliknya, dengan kecepatan conveyor diangka 240 RPM memicu efek motion blur yang membuat akurasi turun hingga 10%, sementara skenario Tanpa Cahaya mengakibatkan kegagalan mutlak dengan akurasi 0% akibat hilangnya kontras objek. Rekomendasi Pengembangan penelitian selanjutnya memerlukan integrasi kotak pelindung cahaya (box enclosure) dan sensor kamera global shutter agar hasil lebih optimal.

Keywords:

Computer Vision, Conveyor, Internet of Things, Klasifikasi Tomat

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References

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Published

2026-07-20

Issue

Vol. 10 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2026

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How to Cite

Analisis Pengaruh Kecepatan Konveyor dan Pencahayaan Terhadap Akurasi Klasifikasi Tomat Berbasis IoT. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(1), 919-927. https://doi.org/10.29407/r2ra0a46