scholarly journals Literasi Media Melalui Video Podcast pada Kalangan Mahasiswa Yogyakarta

2021 ◽  
Vol 25 (2) ◽  
Author(s):  
Arif Ardy Wibowo ◽  
Annisa Ishlahtus Shohwah
Keyword(s):  
Media Literacy ◽  
Total Sample ◽  
Video Content ◽  
Digital Format ◽  
Medium Level ◽  
Video And Audio ◽  
Competence Framework ◽  
High Level ◽  
Video Podcast ◽  
Communicative Abilities

Video podcasts become one of the digital content included in a combination format, combined writing, video, and audio packed so that it becomes content distributed in digital format. The ease of accessibility of podcast video content makes it important to apply media literacy to remain critical of the message's various meanings in the content in the video podcast. This study aims to determine the level of media literacy through video podcasts among students of Communication Sciences Yogyakarta. The method used in this study is a descriptive quantitative method with the concept of measuring individual competence framework media literacy. Samples from this study were active students of Communication Sciences in 2019/2020 at Ahmad Dahlan University, Mercu Buana University Yogyakarta, and AMIKOM University Yogyakarta, with a total sample of 368 respondents. This study showed that the level of media literacy through video podcasts among students of Communication Science Yogyakarta is at a high level (advanced) with details of technical skills are in the advanced category of 80%, critical understanding ability at the advanced level of 86%. Communicative abilities are at the medium level of 59%. This shows that Yogyakarta communication students can use very high media, analyze excellent information, and participate and communicate actively through social media.

scholarly journals Students’ Digital Media Literacy: Effects on Social Character

2019 ◽  
Vol 8 (2S9) ◽  
pp. 394-399
Keyword(s):  
Digital Media ◽  
Media Literacy ◽  
Undergraduate Students ◽  
Industrial Revolution ◽  
Technical Skills ◽  
Social Character ◽  
Medium Level ◽  
Critical Understanding ◽  
Competence Framework ◽  
Communicative Abilities

The development of digital technology in the era of the industrial revolution 4.0 requires today’s younger generations to demonstrate media literacy. It is often the case that cyber-crime happens among teenagers because they are misinformed. This study measures students’ media literacy using individual competence framework which include technical skills, critical understanding, and communicative abilities. Respondents were 100 university undergraduate students in Indonesia selected randomly. The results showed that 60-80% respondents demonstrated medium level technical skills, 80-90% of them have low critical understanding, and 45% of them displayed medium communicative abilities. In addition, media literacy was found to significantly influence students’ social character as much as 49%. The finding of this study implies the need for literacy education is imminent because low media literacy may lead to low social character.

FENOMENOLOGI LITERASI MEDIA PADA REMAJA DI KOTA PEKANBARU

2019 ◽  
Vol 3 (1) ◽  
pp. 12
Author(s):  
Fatmawati Fatmawati ◽  
Benni Handayani
Keyword(s):  
Media Literacy ◽  
Formal Education ◽  
Industrial Revolution ◽  
Great Influence ◽  
Phenomenological Approach ◽  
Literacy Experiences ◽  
Medium Level ◽  
Ease Of Access ◽  
Competence Framework ◽  
The Impact

The 4.0 of industrial revolution had a considerable impact on the advancement of media and information technology. The flow of information that can no longer be dammed causes anyone, as a media user, to be ready and have a filter to use it. The impact of the media has a great influence on the younger generation. The ease of access makes this media an inseparable important part of adolescents, including teenagers in Pekanbaru City. However, in today’s reality not a few teenagers who are trapped in the nature of access. This phenomenon is of concern to researchers to find out how media literacy experiences among teenagers in Pekanbaru City by Individual Competence Framework. Adolescents referred to in this study are students who sit in the Senior High School in the City of Pekanbaru, which is a representation of the teenagers. The research method used is qualitative with a phenomenological approach. The results of this study indicate that media literacy experience in adolescents in Pekanbaru city is a three level of adolescent, there are: technical skills at the medium level, and critical understanding at the basic level. At the level of non-formal education, adolescents barely get it from the family, but instead get it from the peergroup.  

Social Media, Social Competence and Teenagers (Study of Students' Digital Media Literacy Level's in Jakarta)

2016 ◽  
Vol 4 (3) ◽  
pp. 01-08
Author(s):  
Khotimatus Sholikhati
Keyword(s):  
Social Media ◽  
Social Competence ◽  
Digital Media ◽  
Media Literacy ◽  
Literacy Education ◽  
Education Programs ◽  
Medium Level ◽  
The Media ◽  
Competence Framework ◽  
Digital Media Literacy

Objective - This study aims to determine the ability of the digital media literacy of students in Jakarta, in particularly of the usage of social media. Methodology/Technique - The research used the instrument of Social Competence Framework based on European Commission (2009) to determine the level of digital media literacy of students. Findings - The results showed that the media literacy of students in Jakarta including medium level based on their social competence. Novelty - The result can be used as a foundation in creating digital media literacy education programs. Type of Paper - Conceptual Keywords: Digital media literacy, Social Competence, teenagers, Social media

scholarly journals Media Literacy Levels of Archivists in Institut Teknologi Sepuluh Nopember (ITS)

2020 ◽  
Vol 10 (2) ◽  
pp. 101-117
Author(s):  
Agus Santoso ◽  
Isminarti Isminarti
Keyword(s):  
Information Technology ◽  
Media Literacy ◽  
Misleading Information ◽  
The Social ◽  
Medium Level ◽  
The Media ◽  
Job Challenges ◽  
Competence Framework ◽  
The Individual ◽  
The University

Media literacy is a concept that describes a person's ability to utilize media, analyze information, and communicate it. This concept is used by researchers to see a person's ability to relate to information media. This study discusses the level of media literacy of archivists in the Institut Teknologi Sepuluh Nopember (ITS). The archivist has a strategic position in information management of the university. In this respect, it needs to be reviewed related to the competence of the media literacy of archivists. In this era of information, archivists are faced with various job challenges due to the development of information technology, including the fast in disseminating information and the emergence of false or misleading information (hoaxes). This condition causes archivists not only to be required to have competence in utilizing information technology but also to be able to analyze and communicate information correctly to provide a fast, accurate, and reliable service. This competency will be reflected in the level of media literacy of archivists. This research uses the descriptive quantitative method by focusing on the aspects of a phenomenon and the reality of media literacy by archivists in  ITS. The level of media literacy can be seen from the Individual competence framework presented by the European Commission (2009). The result of the study showed that the media literacy of archivists in ITS is at a medium level, which indicated the competence is more focused on the ability of technical skill and critical understanding. While in the social competence aspect are classified as passive users.

Urban network of China from the perspective of population mobility: Three-dimensional co-occurrence of nodes and links

2021 ◽  
pp. 0308518X2199781
Author(s):  
Xinyue Luo ◽  
Mingxing Chen
Keyword(s):  
Three Dimensional ◽  
Geographical Distance ◽  
Two Dimensional ◽  
Population Mobility ◽  
Urban Network ◽  
Urban Networks ◽  
Low Level ◽  
Medium Level ◽  
High Level ◽  
External Connections

The nodes and links in urban networks are usually presented in a two-dimensional(2D) view. The co-occurrence of nodes and links can also be realized from a three-dimensional(3D) perspective to make the characteristics of urban network more intuitively revealed. Our result shows that the external connections of high-level cities are mainly affected by the level of cities(nodes) and less affected by geographical distance, while medium-level cities are affected by the interaction of the level of cities(nodes) and geographical distance. The external connections of low-level cities are greatly restricted by geographical distance.

scholarly journals Quality of colostral passive immunity and pattern of serum protein fluctuation in newborn calves

2003 ◽  
Vol 60 (3) ◽  
pp. 453-456 ◽  
Author(s):  
Patricia Pauletti ◽  
Raul Machado Neto ◽  
Irineu Umberto Packer ◽  
Raul Dantas D'Arce ◽  
Rosana Bessi
Keyword(s):  
Total Protein ◽  
Statistical Design ◽  
Extended Period ◽  
Experimental Period ◽  
Passive Immunity ◽  
Serum Total Protein ◽  
Non Linear ◽  
Medium Level ◽  
Group 2 ◽  
High Level

Immunity acquired by newborn animals is known as passive immunity, and for ruminants, antibody acquisition depends on the ingestion and absorption of adequate amounts of immunoglobulins from colostrum. This study relates different initial levels of acquired passive protection and serum total protein (TP) and immunoglobulin G (IgG). Serum immunoglobulin concentration and total protein were evaluated for female Holstein calves in the first sixty days of life. Animals were separated into three groups according to their initial level of passive immunity: group 1- animals with a low level of passive immunity (below 20 mg mL-1); group 2- animals with a medium level (between 20 and 30 mg mL-1), and group 3- animals with a high level (above 30 mg mL-1). Serum total protein was determined through the biuret method and IgG was determined by radial immunodiffusion. Data were analyzed as a completely randomized, split-plot statistical design. Fluctuation of the variables along the experimental period was determined through non-linear regression by the DUD method (PROC NLIN - Non Linear SAS). Animals with low antibody acquisition started to produce antibodies earlier, reflecting a compensatory synthesis. On the other hand, animals having adequate levels exhibited an extended period of immunoglobulin catabolism and the beginning of the endogenous phase was delayed. Regardless initial levels, the fluctuations in IgG contents occurred around adequate physiological concentrations, ranging from 20 to 25 mg mL-1.

scholarly journals A Fast and Effective Method to Identify Relevant Sets of Variables in Complex Systems

Mathematics ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1022
Author(s):  
Gianluca D’Addese ◽  
Martina Casari ◽  
Roberto Serra ◽  
Marco Villani
Keyword(s):  
Complex Systems ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Computational Cost ◽  
Graph Analysis ◽  
The Past ◽  
Medium Level ◽  
Micro Level ◽  
Gene Regulatory ◽  
High Level

In many complex systems one observes the formation of medium-level structures, whose detection could allow a high-level description of the dynamical organization of the system itself, and thus to its better understanding. We have developed in the past a powerful method to achieve this goal, which however requires a heavy computational cost in several real-world cases. In this work we introduce a modified version of our approach, which reduces the computational burden. The design of the new algorithm allowed the realization of an original suite of methods able to work simultaneously at the micro level (that of the binary relationships of the single variables) and at meso level (the identification of dynamically relevant groups). We apply this suite to a particularly relevant case, in which we look for the dynamic organization of a gene regulatory network when it is subject to knock-outs. The approach combines information theory, graph analysis, and an iterated sieving algorithm in order to describe rather complex situations. Its application allowed to derive some general observations on the dynamical organization of gene regulatory networks, and to observe interesting characteristics in an experimental case.

Samarinda Grabbike Driver’s Income Analysis in 2019

2021 ◽  
Vol 2 (1) ◽  
pp. 30
Author(s):  
Made Ngurah Partha ◽  
Noor Ellyawati ◽  
Komang Ayu Safitri
Keyword(s):  
Minimum Wage ◽  
Quantitative Research ◽  
Working Hours ◽  
Research Use ◽  
Net Income ◽  
Average Income ◽  
Analysis Technique ◽  
Medium Level ◽  
High Level ◽  
The City

This research purposes to determine the income of Grabbike drivers in Samarinda during March 2019 and to compare the income toward the City Minimum Wage (UMK) in 2019. This research also intends to know the average and the percentage of Grabbike driver’s income in Samarinda toward the City Minimum Wage (UMK) in 2019. This is a descriptive quantitative research. The populations in this research are 1200 Samarinda Grabbike drivers in 2019 with 120 respondents. Data collection techniques in this research use questionnaires, interviews and documentation. The data analysis technique uses the net income formula; the average and percentage income. The research data and analysis of the Samarinda Grabbike driver’s income in 2019 includes several indicators; the number of working hours and working days. The research results show that the Samarinda Grabbike driver’s net income in March 2019 is Rp. 200,758,204. The percentage comparison between Samarinda Grabbike Driver’s incomes toward the City Minimum Wage (UMK) shows 24 drivers achieving high-level income or 20%, 65 drivers achieving medium-level income or 54.2% and 31 drivers achieving low-level income or 25.8%. The average income of Samarinda Grabbike drivers in March 2019 is Rp. 1,672,985.

scholarly journals Knowledge Integration Networks for Action Recognition

2020 ◽  
Vol 34 (07) ◽  
pp. 12862-12869
Author(s):  
Shiwen Zhang ◽  
Sheng Guo ◽  
Limin Wang ◽  
Weilin Huang ◽  
Matthew Scott
Keyword(s):  
Action Recognition ◽  
Large Scale ◽  
Knowledge Integration ◽  
Scene Recognition ◽  
Teacher Networks ◽  
Medium Level ◽  
Meaningful Context ◽  
Context Knowledge ◽  
High Level ◽  
Context Features

In this work, we propose Knowledge Integration Networks (referred as KINet) for video action recognition. KINet is capable of aggregating meaningful context features which are of great importance to identifying an action, such as human information and scene context. We design a three-branch architecture consisting of a main branch for action recognition, and two auxiliary branches for human parsing and scene recognition which allow the model to encode the knowledge of human and scene for action recognition. We explore two pre-trained models as teacher networks to distill the knowledge of human and scene for training the auxiliary tasks of KINet. Furthermore, we propose a two-level knowledge encoding mechanism which contains a Cross Branch Integration (CBI) module for encoding the auxiliary knowledge into medium-level convolutional features, and an Action Knowledge Graph (AKG) for effectively fusing high-level context information. This results in an end-to-end trainable framework where the three tasks can be trained collaboratively, allowing the model to compute strong context knowledge efficiently. The proposed KINet achieves the state-of-the-art performance on a large-scale action recognition benchmark Kinetics-400, with a top-1 accuracy of 77.8%. We further demonstrate that our KINet has strong capability by transferring the Kinetics-trained model to UCF-101, where it obtains 97.8% top-1 accuracy.

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