Judul: Pengenalan Wajah dengan Citra Pelatihan Tunggal Menggunakan Algoritme VFI5 Berbasis Histogram
Abstrak: Face recognition is one of the biometric methods which is frequently used. One of the approach in face recognition is view based (photometric) approach which represents the information of the image pixels. In this research, information from the image pixels represented using the image histogram. According to Gonzales (2002), histogram are the basis for numerous spatial domain processing techniques. Histogram is used as input to Voting Feature Intervals 5 (VFI5) algorithm. Range of image histogram is 0-255 divided into several intervals. Afterwards, on training stage will be determined the vote value from single training image per person that will be used in the classification stage. The recognition rate is reached 96.3%.
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Judul: Pengenalan wajah dengan partisi citra menggunakan VFI5 berbasis histogram
Abstrak: Research in face recognition is motivated not only by the fundamental challenges this recognition problem poses but also by numerous practical applications where human identification is needed. Face recognition, as one of the primary biometric technologies, became more important owing to rapid advances in technologies such as digital cameras, the Internet and mobile devices, and increased demands on security. Face recognition has several advantages over other biometric technologies: It is natural, non intrusive, and easy to use. There are two predominant approaches to the face recognition problem: geometric (feature based) and photometric (view based). A classification algorithm, called VFI5 (Voting Feature Intervals), is developed and applied to problem of face recognition with partition based on histogram. VFI5 represents a concept in the form of feature intervals on each feature dimension separately. Classification in the VFI5 algorithm is based on a real-valued voting. Each feature equally participates in the voting process and the class that receives the maximum amount of votes is declared to be the predicted class. The performance of the VFI5 classifier is evaluated empirically in terms of classification accuracy. Conclusion of this research indicates that VFI5 can be used for face recognition with high accuracy the level.
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Judul: Pengaruh Lingkungan Pengasuhan dan Kelekatan Ayah terhadap Karakter Sopan Santun Remaja di Perdesaan.
Abstrak: Saat ini karakter sopan santun pada anak semakin memprihatinkan. Keluarga memiliki peranan penting dalam membentuk karakter sopan santun. Lingkungan pengasuhan dan kelekatan ayah akan turut memengaruhi terbentuknya karakter sopan santun pada remaja. Penelitian ini bertujuan untuk menganalisis pengaruh karakteristik remaja dan keluarga, lingkungan pengasuhan, dan kelekatan ayah terhadap karakter sopan santun remaja, khususnya yang tinggal di perdesaan. Penelitian ini melibatkan 116 responden yang terdiri atas 58 siswa SMP berserta ibunya yang dipilih dengan teknik purposive. Lingkungan pengasuhan diukur dengan menggunakan Home Obsevation for Measurement of the Environment (HOME) tipe Early Adolescent (EA) dan kelekatan ayah diukur dengan menggunakan Inventory of Parent and Peer Attachment (IPPA) tipe father attachment Dalam penelitian ini ditemukan bahwa jenis kelamin anak, usia ibu, dan kelekatan ayah-remaja berpengaruh terhadap karakter sopan santun. Pada hasil lainnya ditemukan bahwa lingkungan pengasuhan di rumah secara keseluruhan tidak berpengaruh signifikan terhadap karakter sopan santun.
Keyword: karakter sopan santun, kelekatan ayah, lingkungan pengasuhan, perdesaan, remaja