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      "abstract": "Komunikasi memegang peranan penting dalam interaksi manusia. Namun,\r\npenyandang gangguan pendengaran mengalami kesulitan dalam menyampaikan\r\nbahasa isyarat kepada masyarakat umum. Penelitian ini bertujuan untuk merancang\r\ndan membangun sistem smart glove yang mampu mengonversi gerakan tangan\r\nmenjadi keluaran teks dan suara guna membantu komunikasi bagi penyandang\r\ntunarungu. Sistem yang dikembangkan menggunakan sensor MPU6050 untuk\r\nmendeteksi orientasi dan pergerakan tangan. Proses klasifikasi gerakan dilakukan\r\nmenggunakan metode Logika Fuzzy yang dikombinasikan dengan aturan\r\nkeputusan berbasis ambang batas (threshold). Sistem diimplementasikan pada\r\nplatform mikrokontroler dan diintegrasikan dengan layar LCD serta perangkat\r\nkeluaran audio untuk menampilkan hasil pengenalan secara waktu nyata. Evaluasi\r\nkinerja sistem dilakukan melalui pengujian alpha untuk memastikan fungsi dan\r\nkeandalan setiap komponen sistem. Hasil pengujian menunjukkan bahwa sistem\r\nsmart glove mampu mendeteksi dan mengklasifikasikan gerakan tangan dengan\r\nbaik serta menghasilkan keluaran teks dan suara sesuai dengan gerakan yang telah\r\nditentukan. Dengan demikian, sistem smart glove yang dikembangkan diharapkan\r\ndapat meningkatkan efektivitas komunikasi antara penyandang tunarungu dan\r\nmasyarakat luas.",
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      "department": "Fakultas Ilmu Komputer",
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      "date": "2026-01-21",
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            "lineage": null,
            "given": "Faturrahman Syarif",
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