ABSTRAKPemanfaatan dan pengembangan konten digital adalah persyaratan yang harus terpenuhi untuk menjadi guru profesional Abad 21. Hal ini yang kemudian membuat adanya kebutuhan mendesak dikalangan guru yang sudah lama berkecimpung dalam profesi pendidikan. Berdasarkan survey yang dilakukan melalui kuesioner online (Google Form), responden (n=83) dari beberapa sekolah dan beberapa mata pelajaran mengayatakan bahwa kebutuhan keterampilan pembuatan konten digital pembelajaran merupakan prioritas utama (n=42) dan diikuti kebutuhan pembuatan online classroom and mobile learning (n=38). Artikel ini bertujuan untuk menyampaikan identifikasi masalah, analisa kurikulum, implementasi solusi, dan evaluasi hasi dari kegiatan pengabdian pada masyarakat dalam bentuk pelatihan pengembangan konten digital pembelajaran untuk guru di Kota Tangerang.Kata Kunci: konten digital; pembelajaran informatika; sumber terbuka.
ABSTRACTDigital content development and utilization are considered as high requirements that must be mastered by qualified teachers in this 21 st century learning. The needs eventually create gaps between prior teachers' competencies and the requirements for further qualifications. An online survey delivered through Google form was conducted to validate this hypothesis. The survey found that respondents (n=83) who were school teachers from different learning subjects expressed that they demanded new skills on digital content development and utilization. It was considered as the highest priority (n=42) among any others skills related technology enhanced learning, such as online classroom or mobile learning (n=38). This article is aimed to describe the process of problem identification, curriculum analysis, the implementation of solution, and program evaluation of a community service activities entitled 'Training of Digital Content Development for School Teachers'.
In the restoration problem of motion blurred images, many research activities have been done in the past. In this paper, we propose a resotration algorithm of rotational motion blurred images using inverse filters. In paticular, to overcome this problem, we focus attention on the two methods. First, we interpolate the pixels near the rotational paths by shift-invariant operation. Second, we reconstruct the input image on the another domain.
In this paper, we investigate problems of the blurred image caused by linear motion. The distortion model caused by camera linear motion is presented by a impulse function with unknown length and direction parameters. To restore the image, its distorted version is inverse filtered with the estimated model. Therefore, the problem of restoring of the undistorted image consists in estimating model parameters. To estimate the parameters such as length and direction we examine the lean of distortion image applied Fourier transform. The experimental results support the correctness of our approach.
In this paper, we present an image deconvolution algorithm for shift variant blur caused by a relative circular motion between the imaging equipment and the object during the exposure time. The two-dimensional shift variant blurred image caused by the accelerated circular motion is modeled as an output of a series of one-dimensional linear convolutions that expresses the degradation process. To simulate the accelerated circular motion blurred image, the midpoint circle algorithm is employed. In the image decovolution process, for the given center of the circular motion, the algorithm is used to obtain circular paths at which the degradation process happens. The shift invariant deconvolution method is applied to each circular path. After the estimated image is obtained, median filtering is applied to solve the some empty pixels. Simulation experiments confirm the capability of the proposed method.
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