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"Salah satu masalah yang sering muncul dalam dunia fotografi adalah efek blur yang dapat diakibatkan baik oleh objek yang bergerak maupun gerakan kamera yang berhubungan dengan kecepatan rana (shutter speed) ketika gambar akan diambil. Paper ini menyajikan sebuah metode baru yang sederhana untuk mendeteksi kemunculan distorsi blur yang tidak diinginkan pada gambar digital. Metode yang diusulkan menggunakan transformasi discrete cosine transform (DCT) pada gambar yang telah mengalami distorsi dengan ukuran blok DCT yang bervariasi. Hasil dari pendeteksian ini kemudian digunakan untuk meningkatkan kualitas gambar melalui metode debluring berdasarkan korelasi pixel yang diterapkan pada area tertentu pada gambar yang mengandung distorsi blur ini. Hasil eksperimen menunjukkan bahwa kualitas gambar yang disempurnakan dihasilkan oleh metode debluring secara selektif menggunakan deteksi distorsi blur lokal akan lebih baik daripada yang tidak melalui proses seleksi. Dari berbagai ukuran blok yang digunakan dalam percobaan, blok berukuran 32×32 piksel menghasilkan kualitas gambar yang secara umum lebih baik.One of the problems that often arise in photography is a blurring effect that can be caused either by a moving object or camera movements that associated with the shutter speed when the picture is taken. This paper presents a simple new method for detecting the appearance of unwanted blur distortion in digital images. The proposed method uses the transformation of Discrete Cosine Transform (DCT) on the image that has been distorted with varying DCT block size. The results of the detection used to improve image quality through debluring method based on pixel correlation that applied to certain areas of the image that contains this blur distortion. The experimental results show that the enhanced picture quality produced by the method of selectively debluring using a local blur distortion detection is better than not through the selection process. From various block sizes used in the experiments, the block size of 32×32 pixel generates better picture quality."

"As the twenty-first century unfolds, computers continue to change the way we think about culture, society and what it is to be human: areas traditionally explored by the humanities. In a world of Big Data, Google Books, digital archives, real-time streaming systems and smart phones, our use of culture has been changing dramatically. The digital humanities give us powerful tools and methods for thinking about culture and history in the contemporary world, through the use of sophisticated computing techniques and methods. Berry and Fagerjord provide a comprehensive guide, exploring the history, intellectual work, key arguments and ideas of this emerging discipline. They also undertake a substantive critique, suggesting ways in which the humanities can be enriched through computing, but also how cultural critique can transform the digital humanities."

"Penelitian ini bertujuan untuk menganalisis pengaruh pemanfaatan alat digital pada pekerja terhadap kesenjangan upah di Indonesia. Adapun pekerja pada penelitian ini dikelompokkan menjadi pekerja digital dan pekerja non-digital berdasarkan sumber data Sakernas 2022. Dengan menggunakan metode Dekomposisi Oaxaca-Blinder, ditemukan hasil bahwa terdapat kesenjangan upah antara pekerja digital dan pekerja non-digital di Indonesia. Adapun dalam melakukan hasil analisis lebih mendalam berdasarkan distribusi kuantil upah, metode RIF-Oaxaca diterapkan dengan hasil temuan bahwa terdapat kesenjangan upah antara pekerja digital dan pekerja non-digital pada tiap kelompok distribusi kuantil upah dengan fenomena kesenjangan upah sticky-floor yaitu kesenjangan upah terbesar terjadi pada kelompok pekerja distribusi kuantil upah terendah.

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This study aims to analyze the influence of digital-use on workers on the wage gap in Indonesia. The workers in this study are grouped into digital workers and non- digital workers based on Sakernas 2022 data. Using the Oaxaca-Blinder Decomposition method, it was found that there is a wage gap between digital workers and non-digital workers in Indonesia. As for the results of a more in-depth analysis based on the distribution of wage quantiles, the RIF-Oaxaca method is applied with the result that there is a wage gap between digital workers and non-digital workers in each wage quantile distribution group with the sticky-floor wage gap phenomenon, which is the largest wage gap occurs in the lowest wage quantile distribution group of workers.

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