AbstrakMembaca bukanlah proses yang tunggal melainkan sintesis dari berbagai proses yang kemudian berakumulasi pada suatu perbuatan tunggal. Mmembaca pada hakikatnya adalah suatu proses yang bersifat fisik dan psikologis. Proses yang berupa fisik berupa kegiatan mengamati tulisan secara visual dan merupakan proses mekanis dalam membaca. Proses mekanis tersebut berlanjut dengan proses psikologis yang berupa kegiatan berpikir dalam mengolah informasi. Proses pskologis itu dimulai ketika indera visual mengirimkan hasil pengamatan terhadap tulisan ke pusat kesadaran melalui sistem syaraf.Pelatihan pembuatan buku elektronik interaktif berjalan dengan baik. Peserta pelatihan antusias dalam mengikuti pelatihan dan mereka berkehendak untuk mencoba memanfaatkan program HHW (HTML Help Workshop) tersebut untuk membuat buku elektronik menjadi lebih baik dan menarik.Motivasi peserta juga meningkat setelah mereka mengikuti pelatihan ini. Mereka mendapatkan ide-ide baru seperti fitur apa saja yang dapat menambah desain buku eletronik menjadi lebih menarik dan interaktif. Tampak pula sebagian besar peserta merasa mendapatkan manfaat pelatihan untuk mengembangkan ide-ide dalam membuat buku eletronik secara interaktif dan menarik Kata kunci: buku eletronik, interaktif, HHW (HTML Help Workshop) Abstract Reading is not a single process but rather a synthesis of various processes which then accumulates in a single act. Mmembaca is essentially a process that is both physical and psychological. The process in the form of a physical form of writing activity observed visually and is a mechanical process in reading. The mechanical process continues with psychological processes such as thinking activities in processing information. Pskologis process that begins when the visual senses transmit observations about writing to the center of consciousness through the nervous system.Interactive electronic book production training is going well.
Nasolabial folds are the wrinkle around the mouth that can be used to mark facial expressions. In this study, nasolabial folds were used to identify happy smile expressions on facial images. The recognition consists of 2 main stages. The first stage for facial area detection is carried out using the viola-jones algorithm, then the second stage for identification of happy smile expressions is performed using artificial neural network (ANN), i.e. the backpropagation algorithm. The processing of feature extraction exploits the calculation of the area of the nasolabial folds in the segmented image. The data of feature extraction is then used as input for the process of training and testing of the backpropagation neural network. The accuracy rate of the system for identifying happy smile expressions on 150 facial images is 92% for training dataset and 82% for testing dataset.
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