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"The invention of new digital technology of images from video camera systems now can provide information of the shoreward propagation of wave using pixel intensity time series that collected at cross - shore array...."

"This research is based upon the rapid development of mobile communication by the introduction of 3G network : and also the demand of reliable and real time multimedia services, such as video telephony, video conference, and digital television...."

"Penelitian ini membahas mengenai penggunaan simbol-simbol dengan citra Islam oleh grup musik asal Korea Selatan NCT U (Neo Culture Technology United) pada akhir tahun 2020. NCT U terlihat menggunakan simbol-simbol dengan citra Islam seperti masjid dan sajadah dalam rangka mempromosikan lagu mereka: “Make A Wish (Birthday Song)”. Tagar #SMStopDisrespectingIslam kemudian beredar dan masuk ke dalam daftar trending dunia di Twitter sebagai respon dari para penggemar. Teori semiotika Roland Barthes digunakan untuk menganalisis makna denotasi, makna konotasi, serta mitos dari penggunaan simbol-simbol ini. Hasil penelitian menemukan tiga simbol yang mengandung citra Islam yakni simbol kubah, simbol aksara bahasa Arab dan simbol sajadah. Ketiga simbol tidak memiliki makna denotasi yang sakral namun memiliki makna konotasi (yang kemudian beredar di masyarakat dan menjadi mitos) yang lekat dengan sosok ‘Islam’ beserta umatnya. Peneliti menyimpulkan bahwa NCT U menggunakan simbol-simbol tersebut dengan tujuan estetika atau dekorasi belaka. Bagi NCT U, ketiga simbol tersebut mengandung citra Timur Tengah dan bukan citra Islam, sehingga pemakaiannya dalam lagu “Make A Wish (Birthday Song)” (yang terinspirasi dari kisah ‘Aladdin’) tidaklah menjadi masalah. Peneliti juga menyimpulkan bahwa grup NCT U melakukan apropriasi akan simbol-simbol dengan citra Islam dalam rangka mempromosikan lagu “Make A Wish (Birthday Song)” berdasarkan hasil penelitian ini.

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This research focuses on the use of Islamic imagery by NCT U (Neo Culture Technology United), a South Korean music group. In late 2020, they were seen using islamic imagery such as mosques and prayer mats in their single “Make A Wish (Birthday Song)” promotional activities. As a response, the global K-Pop community on Twitter trended the hashtag #SMStopDisrespectingIslam worldwide. Roland Barthes’ theory on semiotics was used to analyze the denotation, connotation, and myth of the symbols in question. Three symbols that contained Islamic imagery was found: the dome, the Arabic script, and the sajadah. These symbols does not hold religious denotations in Islam, although they do hold special connotations (which then spread and become myths) to Muslims. The researcher concluded that NCT U used the symbols for aesthetic or decorative purposes. To the group, the symbols didn’t contained Islamic imagery but instead contained Middle Eastern imagery; so their use in the song’s promotional activities wasn’t inappropriate, seeing that the single’s main theme and concept was inspired by the tale of ‘Aladdin’. The researcher further concluded NCT U was found appropriating islamic imagery for “Make A Wish (Birthday Song)” promotional activities based on the result of this research."

"ABSTRAKThis study aims to identify and describes the verbal symbols and cultural imagery of Lio Ethnic (LE) community which are contained in Batuna?u Prayer (BP). The theory used as analytical scalpel is the Cultural Linguistics Theory (CLT). This study shows 5 forms of BP used in LE community, which are the traditional house construction BP (THC), going to sow BP (GS), delivering dowry BP (DD), going to school BP (GSC), and deceased person BP (DP). From these five forms of BP, there are verbal symbols of a language grammatical discourse (phonology, morphology, and syntax), and the metaphor styles of language, metonymy, poetic sound, and pararelism phrase. After in-depth interpretation of those verbal symbols, some cultural imagery of LE community has been found, such as (1) belief/religion imagery, (2) social imagery, (3) political imagery, (4) human ego towards else imagery, (5) beauty imagery, (6) fear imagery, (7) appreciative imagery, and (8) honor imagery. These study findings describe the noble values which are manifested in Batuna?u prayers. Therefore, they will be beneficial for the Lio Ethnic community in general, and especially for Lio Ethnic students and scholars that have not recognized the noble values contained in Batuna'u prayers"

"Video streaming saat ini menjadi teknologi yang mempermudah kita dalam mendapatkan informasi dalam bentuk tampilan video. Semakin interkatif sebuah video, user akan mendapatkan informasi lebih banyak. Pada penelitian ini dibuat sebuah sistem video streaming yang interaktif yaitu video clickable dengan menggunakan HTML5. Untuk mengetahui kualitas dari video interaktif ini, maka sistem ini akan diuji QoS nya yaitu delay dan jitter, kemudian dibandingkan dengan video streaming biasa. Pada pengukuran TCP dan HTTP menunjukan bahwa terjadi peningkatan delay sebesar 31.99% dari delay video streaming biasa sehingga menyebabkan delay semakin lama. Namun delay video clickable masih dalam standar delay yang baik karena di bawah 150 ms. Sedangkan pada pengukuran jitter, terjadi penurunan jitter sebesar 13.21% dari jitter video streaming biasa. Namun jitter video streaming biasa masih dalam standar jitter yang baik karena diantara 0-75 ms. Dari hasil survey menggunakan kuisioner, diperoleh nilai uji antarmuka dari keseluruhan sistem 4.32 dari nilai maksimal 5. Uji fungsionalitas sistem secara keseluruhan sudah berfungsi dengan baik. Pengujian terhadap browser yang berhasil mengakses halaman Web dengan baik adalah IE, Chrome dan Safari.

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Nowadays, streaming video is becoming a technology that facilitate us to get information easier from video. More interactive the video is, more infomation that user will get. In this research, created an interactive streaming video, especially clickable video using HTML5. To know quality of interactive video, system will tested for its QoS that are delay and jitter.

In TCP and HTTP measurement, the enhancement delay of clickable video up to 31.99% from common streaming video so it is cause the delay time longer. However, the delay of clickable video still in a good standard of delay, because it is under 150 ms. On the other hand, in jitter measurement, the increased jitter of clickable video up to 13.21% from the common jitter streaming video. But, the normal condition of jitter streaming video still in a good standard for jitter, because it is between 0-75 ms.

From the survey that using questionnaire, the score of interface get 4.32 from the overall system of maximum score 5. Functionality test from the whole system are well functioning. Testing of the browser to access web pages successfully are IE, Chrome and Safari."

"Brain Computer Interface (BCI) merupakan sebuah teknologi yang sedang banyak dikembangkan di banyak negara di dunia, pasalnya teknologi BCI ini adalah teknologi yang modern dimana teknlogi ini dapat memungkinkan manusia dapat berkomunikasi dengan suatu sistem. Sampai sekarang BCI banyak dikembangkan pada dunia medis, salah satunya adalah stroke, stroke adalah sebuah penyakit yang diakibatkan oleh penguumpalan darah pada pembuluh darah diotak ataupun akibat pecahnya pembuluh datah diotak. Stroke mengakibatkan kelumpuhan pada bagian tubuh penderitanya, sehingga membuat ketebatasan pada mobilitasnya. Sehingga melalui penelitian ini diharapkan dapat membantu pasien stroke dalam mobilitiasnya. Pada pembuatan sistem sebelumnya dilakukan pengklasifikasian sinyal otak dengan cara perekaman sinyal EEG dengan menggunakan ADS1299EEG-FE, perekaman ini dilakukan dengan metode motor imagery sehingga subjek tidak perlu melakukan pergerakan cukup melakukan pemikiran pergerakan motorik untuk dapat menjalankan kursi roda. Pengklasifikasian sistem ini menggunakan fitur RPR yaitu nilai rasio power, setelah dilakukan klasifikasi dilakukanlah validasi sistem dengan melakukan pengujian lasngung pada sistem. Pada pengujian sistem terdapat 2 model pengujian yakni Diam – Maju – Mundur dan Diam – Kiri – kanan dengan presentase keberhasilan 46% dan 65%.

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Brain Computer Interface (BCI) is a technology that is being developed in many countries in the world, because this BCI technology is a modern technology where technology can enable communicate human with a system. BCI has been widely developed in the medical, one of them is stroke, stroke is a disease caused by blood clots in blood vessels in the brain or due to ruptured brained vessels. Stroke results in paralysis of the part of the body of the sufferer, making it difficult for mobility. So that this research is expected to help stroke patients in their mobility. For making the system previously we classification the brain signals by recording EEG signals using ADS1299EEG-FE, this recording using the motor imagery method so that the subject did not need to move and just thinking about motor movements to control a wheelchair. The classification of this system uses the RPR feature, namely the value of the power ratio, after classification the system validation is done by direct testing on the system. In the system testing there are 2 test models namely Stop - Forward - Backward and Stop - Left - right with a success percentage 46% and 65%."

"Pesatnya perkembangan penggunaan layanan Subscription Video on Demand (SVoD) di Indonesia menjadikan layanan ini cukup menjanjikan. Perubahan perilaku konsumen dari menonton melalui televisi tradisional dan bioskop menjadi melalui online streaming mendorong pelaku industri mencari cara untuk terus bertahan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang dapat memengaruhi niat keberlanjutan penggunaan SVoD pada studi kasus Netflix. Penelitian ini menggabungkan dua teori yaitu Expectation Confirmation Theory sebagai teori yang terbukti dapat menyelidiki niat berkelanjutan SI dan Information System Success sebagai teori yang dapat menilai kesuksesan SI. Selain itu, penelitian ini juga menambahkan aspek personalization yang merupakan salah satu karakteristik dari layanan SVoD. Penelitian ini terdiri dari 623 responden yang pernah menggunakan layanan SVoD Netflix setidaknya sekali. Data yang diperoleh pada penelitian dianalisis dengan menggunakan Covarianced-based Structural Equation Model dengan bantuan program AMOS 26. Hasil penelitian ini menunjukkan bahwa service quality berpengaruh positif terhadap confirmation, system quality berpengaruh positif terhadap perceived usefulness, confirmation berpengaruh positif terhadap satisfaction, serta satisfaction, perceived usefulness, dan personalization berpengaruh positif terhadap continuance intention penggunaan layanan SVoD. Berdasarkan hal tersebut, penelitian ini diharapkan dapat memberikan kontribusi bagi perusahaan penyedia layanan SVoD untuk mengevaluasi layanan mereka sehingga pengguna memiliki niat untuk terus menggunakan layanan tersebut.

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The rapid development of Subscription Video on Demand (SVoD) services in Indonesia makes this service quite promising. The change in consumer behavior from watching through traditional television and cinema to online streaming has encouraged industry players to look for ways to survive. This study aims to analyze the factors influencing the intention to continue using SVoD in the Netflix case study. This study combines two theories, namely Expectation Confirmation Theory as a theory that is proven to investigate the continuance intention of IS and Information System Success as a theory that can assess the success of IS. In addition, this study also adds an aspect of personalization which is one of the characteristics of SVoD services. This study consisted of 623 respondents who had used Netflix's SVoD service at least once. The data obtained in the study were analyzed using the Covarianced-based Structural Equation Model with the help of the AMOS 26 program. The results of this study indicate that service quality has a positive effect on confirmation, system quality has a positive effect on perceived usefulness, confirmation has a positive effect on satisfaction, and satisfaction, perceived usefulness, and personalization have a positive effect on continuance intention to use SVoD services. Based on this, this research is expected to contribute to SVoD service provider companies to evaluate their services so that users have the intention to continue using these services."

"Digital video compression has revolutionised the broadcast industry. Its implementation has been the vital key to the expansion of video via satellite, cable, internet and terrestrial TV. However, new technologies not only enable new applications, they also create new challenges such as how to measure video quality, and how to maintain video quality in concatenated compression systems.Video Compression Systems provides an overview on many issues concerning today's complex digital video systems: from video quality measurements to statistical multiplexing, from pre-processing to transcoding and concatenation. It explains video compression systems from first principles and gives a detailed summary of currently used MPEG standards, as well as non-MPEG algorithms. Furthermore, it provides a summary of motion estimation algorithms and explains processing priorities for mobile applications, HDTV, contribution and distribution systems, as well as for end user systems.Video Compression Systems focuses intentionally on the principles rather than the mathematics in order to make it more readable and accessible to a wider audience. It is aimed at senior undergraduate students taking modules in video technologies, multimedia processing or video compression, as well as television engineers working on video compression systems."

"Kombinasi thumbnail dan judul pada portal berbagi video sangat berguna untuk memberikan gambaran mengenai isi video. Tetapi, terdapat juga thumbnail yang bersifat clickbait yang lebih bertujuan memancing masyarakat untuk menonton video. Bahkan terdapat clickbait thumbnail yang dibuat untuk menyesatkan masyarakat dengan agenda untuk membangun opini tertentu. Untuk membatasi variasi pada dataset permasalahan dipersempit pada clickbait thumbnail yang mengandung ujaran kebencian terhadap dai. Thumbnail yang dipilih sebagai dataset terdiri dari foto satu orang atau lebih dengan disertai teks narasi. Dari thumbnail diperoleh informasi berupa identitas individu dengan menggunakan face recognition dan teks narasi dengan menggunakan optical character recognition. Untuk mengolah teks narasi dari thumbnail dan judul video digunakan teknik analisis sentimen. Dibangun model machine learning dengan data yang diperoleh dari identitas, teks narasi dan judul video dengan menggunakan model SVM. Evaluasi terhadap model machine learning dilakukan dengan validasi silang 5-fold. Evaluasi menghasilkan akurasi 0.968, sensitivitas 0.968, nilai presisi 0.9698 dan F1-Score 0.967.

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The combination of thumbnails and titles on video sharing portals is effective for providing an overview of the content of the video. However, there are also clickbait thumbnails that are more intended to lure people into watching the videos. There are even clickbait thumbnails created to mislead the public with an agenda to build a particular opinion. To limit the variation in the dataset the problem was narrowed down to clickbait thumbnails containing hate speech against dai. Thumbnails selected as datasets consist of photos of one or more people accompanied by narrative text. From the thumbnails, information is obtained in the form of individual identities using face recognition and narrative texts using optical character recognition. To process narrative text from thumbnails and video titles, sentiment analysis techniques are used. A machine learning model was built with data obtained from identity, narration text, and video titles using the SVM model. Evaluation of the machine learning model is carried out with 5-fold cross-validation. The evaluation resulted in an accuracy of 0.968, a sensitivity of 0.968, a precision value of 0.9698, and an F1-Score of 0.967"