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<http://eprints.unpak.ac.id/id/eprint/10234> <http://purl.org/dc/terms/title> "International Journal of Electronics and Communications SystemVolume"^^<http://www.w3.org/2001/XMLSchema#string> .
<http://eprints.unpak.ac.id/id/eprint/10234> <http://purl.org/ontology/bibo/abstract> "International Journal of Electronics and Communications SystemVolume 1, Issue 2, p1-px. ISSN: 2798-2610\r\nhttp://ejournal.radenintan.ac.id/index.php/IJECS/index\r\n Corresponding author: The address of each author's institution, COUNTRY. \r\n© 2021 The Author(s). Open Access. This articleisunder the CC BY SA license (https://creativecommons.org/licenses/by-sa/4.0/)\r\nRobot Deteksi Sampah Botol Menggunakan YOLOV10 danKendaliAndroid\r\nSilvia Dharma\r\n* Universitas Pakuan Bogor, Indonesia Agus Ismangil\r\nUniversitas Pakuan Bogor, Indonesia Arie Qur’ania\r\nUniversitas Pakuan Bogor, Indonesia Article Info Abstract\r\nArticle history: Received: Revised: Accepted: Sampah botol yang terdiri atas empat jenis material, yaitu plastik, kaca, kaleng, dan kertas, menimbulkan permasalahan lingkungan karena sulit terurai danmasih dipilah secara manual. Penelitian ini bertujuan untuk merancangdanmengimplementasikan robot deteksi sampah botol berbasis computer visiondengan algoritma YOLOv10 yang dikendalikan melalui perangkat Android. Metode yang digunakan adalah hardware programming, meliputi perancangansistem elektrik, mekanik, dan perangkat lunak, diikuti dengan integrasi sertapengujian. Robot menggunakan modul ESP32-CAM sebagai unit akuisisi citradanpusat kendali, motor DC untuk navigasi, serta gripper berbasis servountukmemindahkan objek. Hasil pengujian menunjukkan bahwa sistemmampumendeteksi botol secara real-time dengan performa tinggi, ditunjukkan olehnilai\r\nprecision sebesar 0,9489, recall sebesar 0,9297, dan mAP@0.5 sebesar 0,9616. Botol plastik dan kertas menunjukkan akurasi deteksi paling stabil, sedangkanbotol kaca dan kaleng mengalami sedikit penurunan akurasi akibat sifat\r\ntransparan, reflektif, serta pencahayaan redup yang memengaruhi kualitas citra. Beberapa kendala mekanis juga muncul pada ukuran objek yang ekstremsehingga memengaruhi efektivitas gripper. Secara keseluruhan, sistemberhasil mencapai tujuan penelitian sebagai solusi alternatif dalampemilahan sampahbotol, serta berpotensi dikembangkan le"^^<http://www.w3.org/2001/XMLSchema#string> .
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