Pengukuran Tingkat Kesiapan E-learning Guru di Kota Jayapura di Masa Pandemik Covid-19

E-learning is one of the revolutions in the education system that encourages the acceleration of quality learning. The Covid-19 pandemic has become a catalyst for accelerating the implementation of e-learning in Jayapura, Papua. Teachers are required to be able to adapt to this rapid change. Thus, E-learning becomes essential amid the pandemic, yet the ICT indicators reveal many barriers to implementing it. This study aims to assess the level of readiness of the teachers in implementing the e-learning system. Data was collected by distributing questionnaires to the teachers from elementary to high school in Jayapura City. Technology infrastructures, human resources, and e-learning content were the main variables to measure. This study indicated that based on teachers' perceptions, more than 70 percent were using google classroom as an e-learning platform. The level of readiness was level 3 (ready with minor improvements). Infrastructures, internet access, and e-learning content availability are the indicators that needed extra attention for improvement

QoS Improvement Using In-Network Caching Based on Clustering and Popularity Heuristics in CCN

Content-Centric Networking (CCN) has emerged as a potential Internet architecture that supports name-based content retrieval mechanism in contrast to the current host location-oriented IP architecture. The in-network caching capability of CCN ensures higher content availability, lesser network delay, and leads to server load reduction. It was observed that caching the contents on each intermediate node does not use the network resources efficiently. Hence, efficient content caching decisions are crucial to improve the Quality-of-Service (QoS) for the end-user devices and improved network performance. Towards this, a novel content caching scheme is proposed in this paper. The proposed scheme first clusters the network nodes based on the hop count and bandwidth parameters to reduce content redundancy and caching operations. Then, the scheme takes content placement decisions using the cluster information, content popularity, and the hop count parameters, where the caching probability improves as the content traversed toward the requester. Hence, using the proposed heuristics, the popular contents are placed near the edges of the network to achieve a high cache hit ratio. Once the cache becomes full, the scheme implements Least-Frequently-Used (LFU) replacement scheme to substitute the least accessed content in the network routers. Extensive simulations are conducted and the performance of the proposed scheme is investigated under different network parameters that demonstrate the superiority of the proposed strategy w.r.t the peer competing strategies.

Usability and user evaluation of an integrated multimedia e-learning management system

The usability of multimedia E-Learning management systems (MEMSs) is critical as it leverages institutions in the educational value chain. The paper aims to investigate the usability effect of an integrated MEMS called Towards Student-Centered Integration of Multimedia E-Learning (TSIME) used at the University of Zimbabwe. This study adopted a quantitative approach, where two self-administered questionnaires were used to gather data on a sample of students and lecturers (n = 492) across ten faculties. Design quality, interaction and feedback, content availability and ethical issues were key independent variable constructs while attitude towards use, overall satisfaction, and likelihood to use TSIME being dependent variables. The results were analysed using descriptive and inferential statistics. The structural Equation Model was used to measure how multimedia design features influence overall satisfaction and likelihood to use. The results showed that ethical issues and content availability were not influencing the use of TSIME while attitude influenced overall usage and satisfaction. Interaction and feedback, as well as design quality, have a significant effect on the likelihood to use TSIME.

Cultural Exportation, Digital Distribution, and Penetration of K-Dramas in Turkey

South Korea has pursued a multidimensional public diplomacy strategy in which Korean television exports and capitalization have emerged as a public and commercial cultural diplomacy tool over the last two decades. This article examines the widespread influence of Korean television content, including digital serial delivery, cultural exportation, cultural interactions, and capitalization—that is, content sales, indirect advertising, and media-induced tourism. Empirical data was obtained from Turkey’s audience members using the online survey tool. As a result of the social and cultural impact, the respondents’ opinions on Korean serials are both animated and rational. The creation of audience members’ social, psychological, and cultural experiences with K-Dramas clarifies their intimacy and activeness. Unlike local or other international content, a significant number of respondents claim that Korean TV serials are not only a source of entertainment but also have profound edifying aspects. According to the results, “Cultural Proximity” and “Content Availability” are two of the most important factors in choosing Korean TV serials over foreign content. The “content availability” is based on the emergence and expansion of Streaming TV; however, in cultural proximity, similarities in family norms and values in both nations are notable.

The Implementation of Using Whatsapp and Youtube in FLTM Class: Teacher’s Perception

The objective of this study is to find out the teacher’s perception on the implementation of using Whatsapp messanger and Youtube in class B 5th semesters of FLTM classroom at Muhammadiyah University students of Kendari. Since teacher’s perception has not been investigated thoroughly in the earlier research on the implementation of using WhatsApp and Youtube media as a learning tools. This study employs qualitative study design to find out lecturer’s perception in teaching process using Whatsapp and Youtube. The instruments used in this study are documentation and interview and the data are analyzed using data reduction, data display, meaning coding, meaning condensation, meaning interpretation, conclusion drawing and data triangulation. The findings reveal that the teacher considered to implement Whatsapp and Youtube in teaching have several advantages and disadvantages in learning objective and outcomes. This can be viewed in the arrangement of knowledge of subject matter, teacher-students interaction, design of instruction, and course management. Furthermore, teacher’s beliefs in using Whatsapp and Youtube in teaching appeared to be strongly connected to the flexibility of teaching and learning process and learning content availability.

Chemical and nutritional characterization of bean genotypes (Phaseolus vulgaris L.)

<abstract> <p>Beans (<italic>Phaseolus vulgaris</italic> L.) are the most important legume for human consumption, and have essential nutrients for physiological processes. As examples, we can mention Fe and Zn. As a strategy to increase these nutrients in the population's diet, beans stand out as a potential candidate, as it already has high levels of these minerals compared to other foods. The objective of this study was to evaluate 14 bean genotypes from the EPAGRI Bean Genetic Improvement Program, Brazil, regarding Fe and Zn content, availability of Fe and Zn in vitro, amount of phytic acid, tannins, proteins, and moisture. The results showed a high positive correlation between the total amount of Zn with bioavailable Zn; the total amount of Fe, and the total amount of Zn; and the total amount of bioavailable Fe with Zn. Furthermore, there were statistically significant differences for all characteristics evaluated, showing an interesting variability that can be considered for future crosses aiming at nutritional quality.</p> </abstract>

ACCEPTANCE OF OTT VIDEO STREAMING PLATFORMS IN INDIA DURING COVID -19: EXTENDING UTAUT2 WITH CONTENT AVAILABILITY

The paper aims at identifying factors that stimulates the customers to adopt and use OTT video streaming platforms in India by applying unified theory of acceptance and use of technology 2 (UTAUT2) model. The study has also attempted to check the moderation effect of age, gender, experience. The study uses a questionnaire to gather the primary data of 277 users of OTT video streaming platforms of India as respondents. The data was examined using SmartPLS 3.3.2 software. The key drivers of adopting and using OTT video streaming platforms are performance expectancy, price value, habit and content availability. The study approves the relevance of UTAUT2 model in the present context. The study also explains the moderating effect of gender, experience and age in UTAUT2 model constructs with respect to OTT video streaming platforms. The market of OTT platforms in India is growing tremendously and is projected to gain the momentum in coming years. Thus, it is imperious to comprehend the behavioral intention of consumers. The outcomes of the study will help the managers in comprehending and devising different strategies for consumers of OTT video streaming platforms. The study is first ever attempt to the best understanding of research to observe the acceptance of OTT video streaming apps using UTAUT2 model.

An Adjusted Free-Market-Inspired Approach to Mitigate Free-Riding Behavior in Peer-to-Peer Fog Computing

Peer-to-peer (P2P) architecture is increasingly gaining attention as a potential solution for the scalability problem facing the Internet of Things (IoT). It can be adopted for the fog computing layer to sustain the massive flow of data from constrained IoT nodes to the cloud. The success of a P2P-based system is entirely dependent on the continuity of resource sharing among individual nodes. Free riding is a severe problem that contradicts this main principle of P2P systems. It is understood that peers tend to consume resources from other peers without offering any in return. This free riding behavior can decrease system scalability and content availability, resulting in a decline in performance. Significant efforts have been made to hinder this behavior and to encourage cooperation amongst peers. To this end, we propose AFMIA, an Adjusted Free-Market-Inspired Approach that considers resources as goods that have dynamic prices based on the amount of supply and demand. Peers have wealth that can be increased by providing resources and spent by consuming them. The experimental results indicate that the proposed algorithm can successfully improve fairness without compromising on success rates.