Batutah, Ibnu (2024) Sistem Rekomendasi Resep Berdasarkan Citra Bahan Makanan Menggunakan Metode Yolov8 dan Simple Additive Weighting. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Cooking is not an easy task for some people due to lack of experience, limited ingredients, and minimal cooking tools. Vegetables, meat, and fruits spoil quickly, potentially becoming food waste with negative environmental consequences. This research develops an Android-based recipe recommendation and computer vision application using the YOLOv8 and Simple Additive Weighting methods. User Acceptance Test (UAT) results show 88.038%, indicating that the application can detect objects and provide recipes suitable for the user's situation. YOLOv8 test result in mAP50 0.915. This application aims to facilitate people in finding recipes that suit their current circumstances.
Item Type: | Thesis (Undergraduate) | ||||||
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Uncontrolled Keywords: | Recommendation, Recipe, YOLOv8, Simple Additive Weighting | ||||||
Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 710 - Rumpun Ilmu Pendidikan > 780 - Ilmu Pendidikan Teknologi dan Kejuruan > 786 - Pendidikan Teknik Informatika |
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Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
Depositing User: | Ibnu Batutah | ||||||
Date Deposited: | 12 Jul 2024 06:42 | ||||||
Last Modified: | 12 Jul 2024 06:42 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/34006 |
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