Implementasi Metode Gaussian dan Median Filtering dalam Penghilangan Noise pada Citra

Meningkatnya angka kriminalitas menjadikan salah satu faktor dipasangnya CCTV pada beberapa sudut area oleh beberapa lembaga sebagai bentuk pengawasan, salah satunya yang telah dilakukan oleh Kementerian Perhubungan Republik Indonesia. Pengawasan melalui CCTV sering kali menghadapi gangguan, seperti hasil citra ber-noise yang menghambat proses pengidentifikasian suatu objek yang tertangkap CCTV. Oleh karena itu, penulis mencoba untuk melakukan implementasi metode Gaussian Filtering dan Median Filtering sebagai upaya dalam menghilangkan noise pada citra yang dihasilkan oleh CCTV. Implementasi yang akan dilakukan pada penelitian ini diawali dengan melakukan input data yang berupa citra hasil screen capture CCTV, kemudan dilakukan konversi dari citra berwarna menjadi citra greyscale. Tahap selanjutnya adalah melakukan penghilangan noise menggunakan metode Gaussian Filtering dan Median Filtering. Mean Square Error (MSE) dan Peak Signal to Noise Ratio (PSNR) digunakan dalam pengujian. Dapat disimpulkan dari penelitian ini, Median Filtering lebih efektif dalam melakukan penghilangan noise dari pada Gaussian Filtering. Hal ini dibuktikan dari 20 percobaan penghilangan noise menggunakan Median Filtering, 80% citra yang diproses menghasilkan nilai PSNR yang lebih besar daripada nilai PSNR citra dengan noise dan mengartikan jika citra yang diproses mendekati citra asli (citra tanpa noise). Sedangkan dari dari 20 percobaan penghilangan noise menggunakan Gaussian Filtering hanya 50% citra yang diproses menghasilkan nilai PSNR yang lebih besar daripada nilai PSNR citra dengan noise. Selanjutnya, untuk nilai standar deviasi terbaik penghilangan noise pada citra adalah ketika ada pada nilai 2 dengan rerata persentase penurunan noise sebesar 1,73%. Kata Kunci: CCTV, Citra, Pengolahan Citra, Noise, Gaussian Filtering, Median Filtering.

Using Screen-Capture Technology to Authenticate IT Online Learning and Assessment

Assessment has always been fundamental to teaching as it aims to gauge the impact of the teaching on students learning. The current assessment in teaching computer literacy is objective assessment that focuses on making it intentional, informative, and formalized. Although this assessment is the best way when assessing large groups of students at one limited time, it has a drawback of being limited to check the knowledge of understanding terminology and recalling steps of a particular process. This study introduces a screen-capture technology based approach to performative and authentic assessment. It involved design and implementation of screen-capture assignments to assess computer maintenance skills. The sample consisted of 28 students enrolled in computer hardware and software maintenance classes. Data from students was collected through a multi-modal student survey and a semi-structured interview. The results analysis has indicated that screen-capture performative assessment promotes students’ engagement and learning level of solving real-world problems.

Indonesian netizens expressions potentially satire with the COVID-19 pandemic on social media Facebook

Since the COVID-19 pandemic, a lot of information is more likely to be conveyed by netizens through social media, especially Facebook. The information in question sometimes contains potentially satirical expressions. In this regard, the purpose of this study is to describe the expressions of Indonesian netizens that have the potential to be satire that cannot be separated from the topic of the COVID-19 pandemic. This research is qualitative research with a descriptive presentation method. Research data is sourced from social media Facebook, while research data is in words, phrases, and or sentences in the form of exposed expressions. The research data collection technique applies digital exploration techniques, namely exploring and examining several statuses in expressions published on Facebook social media. The data that is considered relevant to the purpose of the research is then documented by taking a screen capture or screenshot. The data were analyzed by applying pragmasemantic techniques. The results showed that the expressions with the potential to be satirical were found with satire irony, sarcasm, innuendo, cynicism, and satire. The five types of satire are summarized as findings stated in the proposition, namely, potentially satire expressions or satire expressions.

Pod save you: assisting the transition to audio-based asynchronous learning

Background: In 2017, an academic health sciences library in Utah developed a multimedia studio for students, faculty, and academic staff. Educational projects needing video, audio, and lecture capture could utilize a one-button studio for recording video sessions, microphones for audio, and various screen capture software for lectures. Since the pandemic, this service has seen rapid growth due to academic lectures going exclusively online. In response, the library launched a dedicated podcasting suite to accommodate the increase in students and faculty needing to record lectures or podcasts for others in the medical profession.Description: This article will outline the process of creating the podcasting suite and provide equipment rosters and methods other libraries may consider for establishing their own studio. Administrating duties of the studio will also be included, such as handling reservations and user assessment. An instructional guide for users is also included to assist patrons in accomplishing their podcast creations. Conclusion: Podcasts created in the space range from topics about teaching strategies in medicine to diagnoses and treatments of skin disorders. A podcasting suite is another way libraries can provide valuable services for asynchronous learning and student projects. Students, staff, and faculty have appreciated the ease of the service and the support behind it. A feedback loop was developed to further improve the space to meet the needs of users.

623. Exploring ‘Slicer Dicer’, an Extraction Tool in EPIC, for Clinical and Epidemiological Analysis

Background Electronic Health Record (EHR) implementation has created an unprecedented library of patient data. Data extraction tools provide an opportunity to retrieve clinico-epidemiological information on a wide scale. Slicer Dicer is a data exploration tool in the EPIC EHR that allows one to customize searches on large patient populations. This software contains a variety of models that present de-identified information from EPIC’s Caboodle database. We explored the applicability and potential utility of this tool utilizing the diagnosis of Lyme disease as an example. Methods The following steps outline an overview of data extraction utilizing ICD-10 codes around Lyme disease at our health system. Step 1-3: Denominator chosen as ‘All Patients’ over a 3-year period, ‘Slicing’ of the data by ‘Lyme disease, unspecified’ was applied to these results, and the ‘sliced’ data was categorized by year of diagnosis (Slide 1). Step 4: This data was further arranged by month of diagnosis for trend analysis (Slide 2). Step 5: Sub-diagnosis was applied for Lyme arthritis (Slide 3). Step 6: Further ‘slicing’ was/can be done by other variables, such as ‘Hospitalization,’ ‘Encounter Diagnosis,’ and ‘ED Diagnosis’ (Slide 4). Step 7-8: Output was ‘sliced’ by ‘Age’ (Slide 5) and ‘Postal Code’ (Slide 6). Slide 1. EPIC EHR screen capture showing 3-year period data Data shown here represents 'All patients' chosen as the denominator further sliced by 'Lyme disease, unspecified' and categorized by the year of diagnosis. Slide 2. EPIC EHR screen capture showing data further arranged by month of diagnosis Results Macro-level data of period prevalence on Lyme disease over 3 years (Slide 1), seasonal trends (Slide 2), specific sub-diagnosis (Slide 3), output by setting of diagnosis (Slide 4), and demographic information of our patient population (Slides 5, 6) was revealed by application of these parameters. Slide 3. EPIC EHR screen capture showing application of sub-diagnosis for Lyme arthritis Slide 4. EPIC EHR screen capture showing further slicing by multiple variables like hospitalization and diagnosis Slide 5. EPIC EHR screen capture showing slicing of data by demographic information (Age) Conclusion Slicer Dicer can provide a snapshot for preliminary data analysis prior to investing time and commitment to a project. The appeal of this tool is that it mines de-identified data and thus does not require initial IRB approval. This opens an avenue for potential full research projects based on the results obtained and helps generate preliminary hypotheses through analysis of healthcare. Slide 6. EPIC EHR screen capture showing slicing of data by demographic information (Postal Code) Disclosures All Authors: No reported disclosures

How streamification challenges the Royal Danish Library’s collection of cultural heritage

Danish legal deposit legislation mandates that the Royal Danish Library must collect contemporary culture for the benefi t of the public and researchers, now and in the future. In this article, I analyse how the move toward access models and the subsequent streamifi cation of media content challenges the collection of cultural heritage. I draw on empirical data from two central activities. The main empirical data stems from archival research and interviews with the library’s internal and external stakeholders. Th e second source of empirical data is the in-house testing performed by web curators when they analysed the collection of streaming-only content via an API from the Danish Broadcasting Corporation (DR). The analysis is followed by a discussion of the eff ects of streaming software and services on collection methods such as stream-ripping, screen capture (image or video), and research collaborations with the producers and distributors of born-digital content.

THE ROLE OF THE OBITUARY PAGES IN FACSBOOK, IS IT FOR IMMORTALIZATION OR FOR CRYING OVER THE RUINS

Death is one of the most difficult topics a person can talk about. The human being is busy with how to continue his life and improve its conditions. This study aims is to explore the writing of Facebook pages of the dead. The research used the qualitative approach through a content analysis, where (50) publications were found on fifteen pages of a dead person with an intentional sample, and the results of the research showed that writing people in the pages of the dead included two directions, the first direction is a desire to immortalize the dead and a kind of preserving their roots Alive. As for the other direction, it was weeping over their ruins and showing the end of a person's death and his end life. Sometimes in the same post include both directions together, meaning "the use of the deceased’s account by his family by changing the profile picture of the dead, and at the same time inviting the deceased’s friends through his page to the memorial event. People write on the pages of the dead in order to weep over their ruins on the one hand, and to immortalize their memories on the other side. Facebook as a social platform and the interaction of people with the pages of the dead shows the great social interaction that takes place in this space, and research in this field is not consistent with one and only claim, as some posts are either temporary or permanent; Therefore, I have used screen capture technology to collect and retain information. The pages of the dead included referring to them, writing memorials and longing, etc. Facebook has become a social platform that allows those who lose a dear person to share their grief through it, and enables them to deal with death and relieve their pain

Analysis of nonsuicidal self-injury posts on Twitter: A quantitative and qualitative research

Retrospective study, of mixed approach, with quantitative and qualitative approaches, with the objective of analyzing posts about non-suicidal self-harm on Twitter. The posts were collected through screen capture, transcribed and encoded. Quantitative data were analyzed using descriptive statistics, association tests and multiple logistic regression, with a significance level of 5%. Qualitative data were analyzed using thematic analysis by Braun and Clarke. In the results, female profile tweets and potentially harmful content prevailed. The expression of the suicidal behavior of the author of the post was associated with the encouragement of non-suicidal self-harm and increased chances of sharing and commenting on the posts. Reply posts were more likely to receive likes and comments. Posts encouraging non-suicidal self-harm describe social manifestations of behavior and exposure to non-suicidal self-harm through mass communication. The results bring important discussions about the potential impact of posts on non-suicidal self-harm and reflection on the discussion of behavior in the digital social context. It is important that mental health actions include tracking risk behaviors on the internet, supporting people in situations of vulnerability, redirecting to support services, as well as strategic actions to promote the conscious and healthy use of social networks.