The implementation of face recognition technique using CCTV is able to prevent unauthorized person enter the gate. Face recognition can be used for authentication, which can be implemented for preventing of criminal incidents. This re-search proposed a face recognition system using convolutional neural network to open and close the real-time barrier gate. The process consists of a convolutional layer, pooling layer, max pooling, flattening, and fully connected layer for detecting a face. The information was sent to the microcontroller using Internet of Thing (IoT) for controlling the barrier gate. The face recognition results are used to open or close the gate in the real time. The experimental results obtained average error rate of 0.320 and the accuracy of success rate is about 93.3%. The average response time required by microcontroller is about 0.562ms. The simulation result show that the face recognition technique using CNN is highly recommended to be implemented in barrier gate system.
Dalam penelitian ini, membahas sistem pengamanan ruangan kosong yang tidak ada aktifitas manusia didalamnya. Ruangan kosong bisa berupa ruangan penting untuk menyimpan dokumen atau barang yang dianggap penting dan dikhawatirkan terjadi pencurian barang atau orang yang memasuki ruangan tanpa ijin. Cara kerja sistem ini menempatkan kamera depth stream kedalam ruangan kosong tersebut kemudian aplikasi mengambil nilai per pixel ruangan tersebut yang disimpan kedalam bentuk array. Berikutnya nilai dari array yang didapat akan dijumlah dan diberi margin error sekitar 2 % untuk mendapatkan nilai batas atas dan batas bawah dari nilai pixel yang didapat. Setelah menetukan parameter batas atas dan batas bawah nilai pixel, kamera akan melakukan streaming gambar dari ruangan yang sudah dipasangi kamera depth stream sehingga mendapatkan nilai pixel secara realtime yang ditampung ke dalam array kedua dan menjumlah total nilai yang ditampung dari array kedua. Lalu nilai penjumlahan array kedua tersebut dibandingkan dengan nilai batas atas dan batas bawah yang didapat dari proses sebelumnya. Jika terdapat gerakan otomatis jumlah total array kedua dapat lebih atau kurang dari batas yang ditentukan, sehingga aplikasi dapat memberi pesan kepada pengguna jika ada gerakan didalam ruang tersebut. Sehingga prinsip dari Human Computer Interacion (HCI) yaitu membuat interaksi manusia dengan komputer terjadi seefisien mungkin dapat tercapai.
ArabEasy is an application to learn and understand basic concepts of Arabic. This app has a problem with the user interface (UI); based on the comment from users, UI this app is confusing to use. This research focuses on measurement and testing based on usability level using the PACMAD model. Data collection was obtained from Performance Measurement, SUS Questionnaire, NASA-TLX Questionnaire, and RTA Questionnaire. The result from this process is measured using usability metrics, statistical testing, and calculation from the questionnaire, respectively. The next process, making a recommendation to improve UI, became a prototype based on The four Golden Rules of User Interface Design. The result of this process showed increased effectiveness 37.22%, efficiency 46.08%, satisfaction 24.25. Furthermore, errors aspect decreased 13.4%, and the cognitive load 18.54.
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