Laksana, Isthika Drawina Putri (2024) PERANCANGAN DETEKSI MAKANAN TRADISIONAL INDONESIA BESERTA INFORMASI KALORINYA MENGGUNAKAN ALGORITMA YOLOV5S. S2 thesis, Universitas Mercu Buana - Menteng.
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Abstract
Indonesia, terkenal dengan lebih dari 300 kelompok etnisnya, menampilkan beragam variasi kuliner tradisional. Modernisasi telah secara signifikan mengubah kebiasaan konsumsi makanan orang Indonesia. Munculnya makanan cepat saji telah mengurangi keunggulan masakan tradisional. Meskipun demikian, hidangan tradisional tertentu mempertahankan permintaan yang besar saat ini. Sangat penting bagi Indonesia untuk cepat beradaptasi dengan lanskap bisnis global yang berkembang dan kebijakan perdagangan internasional. Adaptasi ini sangat penting bagi daya saing Indonesia dalam produksi dan ekspor komoditas pangan. Akibatnya, upaya penelitian ekstensif telah dilakukan untuk mempromosikan dan menyoroti kenikmatan yang terkait dengan masakan tradisional Indonesia. Penelitian ini menghasilkan kumpulan data makanan tradisional Indonesia dengan nilai kalorinya. Pengujian menggunakan YOLOv5s dengan jumlah gambar pada dataset sebesar 800 gambar. Akurasi model yang dicapai mencapai nilai mengesankan 98%, presisi menghasilkan angka penting 93%, recall juga ditemukan 0.93, dengan skor F1 mikro mencerminkan nilai 0.93, dan demikian pula, skor F1 makro dilaporkan pada 0.93 untuk pengujian saat ini. Indonesia, renowned for its more than 300 ethnic groups, offers a rich diversity of traditional cuisines. However, modernization has significantly altered the dietary habits of Indonesians. The increasing popularity of fast food has diminished the prominence of traditional dishes. Nevertheless, some traditional foods continue to enjoy high demand today. It is crucial for Indonesia to swiftly adapt to the changing global business environment and international trade policies. This adaptation is essential for maintaining the country's competitiveness in food production and export. As a result, extensive research has been conducted to promote and emphasize the appeal of traditional Indonesian cuisine. This research generated a dataset of traditional Indonesian foods along with their calorie values. Testing using YOLOv5s with a dataset containing 800 images. The attained accuracy of the model culminated in a remarkable figure of 98%, the precision produced a significant statistic of 93%, the recall was similarly determined to be 0.93, with the micro F1 score illustrating a value of 0.93, and correspondingly, the macro F1 score was documented at 0.93 for the present evaluation.
| Item Type: | Thesis (S2) |
|---|---|
| NIM/NIDN Creators: | 55421120007 |
| Uncontrolled Keywords: | artificial intelligence, machine learning, deep learning, You Only Look Once versi 5s artificialintelligence, machine learning, machine learning, deep learning, You Only Look Once version 5s |
| Subjects: | 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan |
| Divisions: | Pascasarjana > Magister Teknik Elektro |
| Depositing User: | SILMI KAFFA MARISKA |
| Date Deposited: | 04 Oct 2024 08:05 |
| Last Modified: | 04 Oct 2024 08:05 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/92178 |
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