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Objek Tipe Checkbox Dan Radio
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Materi 11 Membaca Objek tipe radio dan checkbo
Merchandise Brand Image Analysis in Shaping Consumptive Lifestyle A Community of Fans
Get PDFThe purpose of this study is to determine whether the brand image of a
product affects on the consumptive lifestyle of a fan community. This is because
there is currently the most obvious example of a boy group from South Korea and
their fans. Currently, the boy group is dominating the world-class music scene, so
this causes fans to be crazy about them which ends up storming merchandise that can be sold out in seconds. The method used is a verification analysis with a survey using a questionnaire distributed online to fans of the boy group. The results of the study stated that from 200 respondents’ data collected, the brand image of the boy group's products had an effect on the consumptive lifestyle of the fan community
Membuat Relasi Antar Tabel
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Materi 14. Membahas mengenai bagaimana merelasikan antara tabel mahasiswa, matakuliah dan tabel perwalian pada database
akademi
Membuat Program Untuk Melakukan Penghapusan Data Pada Tabel Barang
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Materi 12: Materi ini membahas mengenai bagaimana menghapus sebuah data yang ada dalam tabel baran
Materi 2 Memformat Dokumen Html
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Materi 2 ini membahas mengenai beberapa Elemen yang dapat digunakan untuk menampilkan informasi atau memformat dokumen html, diantaranya adalahParagraph
Blockquote, Divider, Heading, Style, Font (Color, Face dan Size), Ganti Baris dan Garis Horiontal, backgroun
Materi 3 Membuat List / Daftar
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Materi 3 ini membahas mengenai Daftar atau list dalam html, diperlukan untuk menampilkan informasi yang bersifat
berurutan dan biasanya ditampilkan dalam bentuk sesuai type list yang diinginka
Membuat Tabel Dengan Html
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Materi 4. ini membahas mengenai perintah dasar untuk membuat tabel
table, border, bgcolor, tr, td, th, width, colspan dan rowspa
Materi 6 Membuat Tautan Atau Link Dalam Html
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Materi 6 ini membahas mengenai Link Antar halaman, Link Relatiev Link Absolut, Anchor,
target
Group Class Residual l1-Minimization on Random Projection Sparse Representation Classifier for Face Recognition
Get PDFSparse Representation-based Classification (SRC) has been seen to be a reliable Face Recognition technique. The l1 Bayesian based on the Lasso algorithm has proven to be most effective in class identification and computation complexity. In this paper, we revisit classification algorithm and then recommend the group-based classification. The proposed modified algorithm, which is called as Group Class Residual Sparse Representation-based Classification (GCR-SRC), extends the coherency of the test sample to the whole training samples of the identified class rather than only to the nearest one of the training samples. Our method is based on the nearest coherency between a test sample and the identified training samples. To reduce the dimension of the training samples, we choose random projection for feature extraction. This method is selected to reduce the computational cost without increasing the algorithm’s complexity. From the simulation result, the reduction factor (ρ) 64 can achieve a maximum recognition rate about 10% higher than the SRC original using the downscaling method. Our proposed method’s feasibility and effectiveness are tested on four popular face databases, namely AT&T, Yale B, Georgia Tech, and AR Dataset. GCR-SRC and GCR-RP-SRC achieved up to 4% more accurate than SRC random projection with class-specific residuals. The experiment results show that the face recognition technology based on random projection and group- class-based not only reduces the dimension of the face data but also increases the recognition accuracy, indicating that it is a feasible method for face recognition