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      "title": "ANALISIS PERFORMA VISUALISASI FURNITUR AR \r\nMENGGUNAKAN PLANE DETECTION \r\nDAN SLAM",
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      "keywords": "Augmented Reality, Plane Detection, SLAM, Furniture, Visualization,\r\nDesign of Experiments, Furnitur.",
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      "abstract": "Perkembangan teknologi Augmented Reality (AR) memungkinkan\r\nvisualisasi objek virtual pada lingkungan nyata secara interaktif, termasuk dalam\r\nkonteks visualisasi furnitur. Namun, kualitas visualisasi sangat dipengaruhi oleh\r\nmetode pelacakan lingkungan yang digunakan. Permasalahan yang sering terjadi\r\nadalah ketidakstabilan objek virtual, ketidaksesuaian posisi terhadap permukaan\r\nnyata, serta hilangnya tampilan objek pada kondisi jarak dan sudut tertentu. Kondisi\r\ntersebut berdampak pada menurunnya kualitas pengalaman pengguna dan\r\nkeakuratan representasi furnitur dalam lingkungan nyata.\r\nPenelitian ini bertujuan untuk menganalisis dan membandingkan performa\r\nvisualisasi furnitur pada aplikasi AR menggunakan pendekatan Plane Detection dan\r\nSimultaneous Localization and Mapping (SLAM). Metode pengembangan aplikasi\r\nmenggunakan Multimedia Development Life Cycle (MDLC), sedangkan pengujian\r\ndilakukan menggunakan pendekatan Design of Experiments (DoE). Pengujian\r\ndilakukan dengan mengombinasikan parameter metode pelacakan, jarak kamera,\r\ndan sudut kamera. Evaluasi performa dilakukan berdasarkan indikator stabilitas\r\nobjek virtual, akurasi penempatan furnitur, dan konsistensi tampilan, kemudian\r\ndianalisis menggunakan persentase performa berdasarkan perbandingan total skor\r\nterhadap skor maksimal.\r\nHasil penelitian menunjukkan bahwa metode Plane Detection memperoleh\r\nperforma keseluruhan sebesar 83,4%, sedangkan SLAM memperoleh 69,4%. Pada\r\naspek stabilitas, Plane Detection memperoleh 73,3% dan SLAM 73,0%, sehingga\r\nkeduanya relatif seimbang. Pada aspek akurasi, Plane Detection memperoleh 83,0%\r\ndan SLAM 59,3%, sedangkan pada aspek konsistensi, Plane Detection memperoleh\r\n94,0% dan SLAM 76,0%. Berdasarkan hasil tersebut, Plane Detection\r\nmenunjukkan performa visualisasi yang lebih baik, terutama pada aspek akurasi\r\npenempatan dan konsistensi tampilan objek furnitur virtual.",
      "date": "2026-05-21",
      "type": "thesis",
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          "name": {
            "given": "Muhammad Nanda Maulana",
            "honourific": null,
            "lineage": null,
            "family": "Yasin"
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