<p class="Abstrak">Perkembangan jual beli garmen secara <em>online</em>, dihadapkan pada kenyataan adanya 70% pengembalian produk oleh pembeli, akibat ketidaksesuaian antara harapan dan kenyataan model serta ukuran garmen. Kehadiran <em>virtual fitting room</em> secara <em>online</em>, diharapkan mampu mengurangi adanya pengembalian produk, memberikan pengaruh positif terhadap keistimewaan suatu produk, keinginan untuk membeli dan kepastian membeli secara <em>online</em>. <em>Virtual Fitting Room</em> ini bisa diimplementasikan pada toko <em>online</em> ataupun toko baju seperti biasa. Tahapan penelitian meliputi : penerapan teknologi <em>kinect</em> untuk mendapatkan data <em>skeleton</em> dari calon pembeli yang digunakan sebagai dasar untuk memberikan rekomendasi ukuran pakaian, selanjutnya perhitungan <em>euclidean distance</em> digunakan untuk menghitung ukuran punggung calon pembeli dan terakhir penerapan teknologi <em>augmented reality</em> untuk menampilkan pakaian <em>virtual</em> 3 dimensi yang melekat tepat di badan calon pembeli. Sistem rekomendasi ini mampu menampilkan calon pembeli dengan menggunakan baju virtual 3 dimensi yang sesuai dengan ukuran rekomendasi dari sistem (S,M,L, atau XL). Sistem ini juga memberikan fitur bagi calon pembeli untuk mencoba model pakaian lainnya. Sistem dapat memperlihatkan baju virtual 3 dimensi yang tetap melekat pada badan calon pembeli, ketika melakukan rotasi ke kanan 90<sup>0</sup>, ke kiri 90<sup>0</sup>, balik kanan 180<sup>0</sup> dan balik kiri 180<sup>0</sup>. Hasil uji coba sistem rekomendasi ukuran pakaian ini akan berjalan secara optimal jika pengaturan ketinggian <em>kinect</em> sebesar 55 cm dari tanah. Untuk ketinggian <em>kinect</em> 55cm, 65cm dan 75 cm dari tanah, sistem ini mampu menyajikan kesesuaian rekomendasi ukuran dibandingkan dengan ukuran asli dari calon pembeli sebesar 70%.</p><p class="Abstrak"> </p><p><strong>Kata kunci</strong>: <em>k</em><em>inect, augmented reality, euclidean distance</em><em>, virtual fitting room</em><strong></strong></p><p class="Judul2"> </p><p class="Judul2"><em>Abstract</em></p><p class="Judul2"><em>The development of online garment sale, faced with the fact that there is 70% return of product by the buyer, due to a mismatch between expectation and reality of model and garment size. The presence of virtual fitting room in the online store is expected to reduce the return of products, give a positive influence on the privilege of a product, the desire to buy and certainty to buy online. Virtual Fitting Room can be implemented in the online store or clothing store as usual. The research stages include the application of Kinect technology to obtain skeleton data from prospective buyers used as a basis for providing system recommendations, then euclidean distance calculation is used to calculate the size back potential buyers, and lastly application of augmented reality technology to display the right three-dimensional virtual clothing in potential buyer body. This recommendation system can present potential buyers by using 3-dimensional virtual shirts attached to their bodies by the recommended size of the system (S, M, L, or XL). This system also provides features for potential buyers to try other clothing models. The system can show a 3-dimensional virtual shirt that remains attached to the body of potential buyers, while rotating right 90<sup>0</sup>, left 90<sup>0</sup>, right turn 180<sup>0</sup> and left turn 180<sup>0</sup>. The test results of this clothing size recommendation system will run optimally if the Kinect height setting of 55 cm from the ground. For the Kinect height of 55cm, 65cm and 75cm from the ground, the system can present the recommended size with the original size of the potential buyer of 70%.</em></p><p class="Judul2"> </p><p><strong>Keywords</strong>: <em>kinect, augmented reality, euclidean distance, virtual fitting room</em></p>
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