NETIQUETTE: Penguatan Soft Skill Netizen untuk Generasi Berkarakter

The virtual world is not a world without borders so we are free to do anything. But as in the real world that has norms, ethics and etiquette, in cyberspace also requires a netiquette. Netiquette as a healthy internet moral regulation is needed so that digital communication between netizens runs harmoniously and respect each other and away from conflict and deviant behavior so as to make the lives of netizens become more comfortable (comfort life). The implementation of netiket if done continuously in the long term will have a positive impact on netizens and their social environment. The positive impact for netizens towards strengthening their soft skills will form a generation of character, integrity, morality, having a healthy mentality, and getting appreciation from others who can be reinforcement for him to continue to do good to others. The positive impact on the environment makes interactions in the social environment healthier in more human communication patterns in their interaction patterns.In fact, there are still many disputes, violations and crimes that are implicated in social media and online media. For example: the rise of pornographic content, hate speech content, hoax issues, cyberbullying, insults, online fraud, digital sexual crimes, child trafficking, online prostitution, and various other cyber crimes. Based on the problems in the virtual world, the research entitled "Netiquette Strengthening Soft Skills Netizens for Generation of Character" aims to compare the phenomenon of ethical violations in social media and online media conducted by netizens associated with ethical guidelines in cyberspace (netiquette). This research uses qualitative methods with a literature review approach.

Dissecting the illegal pangolin trade in China: An insight from seizures data reports

Wildlife trafficking poses a major threat to global biodiversity. Species such as pangolins are particularly vulnerable and trade continues almost unabated despite numerous interventions aimed at eradicating illegal wildlife trade. Despite restrictions on the pangolin trade, thousands of pangolins continue to be intercepted annually. We focused on China because of the recent delisting of pangolins from the Chinese pharmacopeia, and their removal from healthcare insurance, despite deeply ingrained traditions of having pangolins for ethno-medicinal use. We collated pangolin interception data from public online media seizure reports to characterize the pangolin trade within China, and found that a total of 326 independent seizures equivalent to 143,130 pangolins (31,676 individuals and 222,908 kg of scale) were reported in 26 provinces. Pangolin domestic seizures are greatest in the southern cities of Dehong, Fangchenggang, and Guangzhou. Also, we found 17 countries within the global pangolins range which were the major source of the pangolin shipments to China. The number of arrests and convictions was much lower than the number of pangolin incidents reported. Our results show a significant increase in the volume of scales and number of live pangolin seizures after amended endangered species law came into effect in 2018, and recorded the highest number of individual pangolin interceptions. China has shown increasing wildlife seizures over time, owing partly to emergent trends in the international wildlife trade as well as increasing global demand for ethnomedicine. The future eradication of illegal wildlife trade in China is dependent not only on stringent border control and offender prosecution but also the; removal of other threatened species from the pharmacopeia and healthcare insurance which includes wildlife derivatives. Furthermore, our work highlights importance of current policy intervention to combat the pangolin trade within China, and the need for further interventions both within China and in export countries.

Brand Awareness via Online Media: An Evidence Using Instagram Medium with Statistical Analysis

Online marketing refers to the practices of promoting a company’s brand to its potential customers. It helps the companies to find new venues and trade worldwide. Numerous online media such as Facebook, YouTube, Twitter, and Instagram are available for marketing to promote and sell a company’s product. However, in this study, we use Instagram as a marketing medium to see its impact on sales. To carry out the computational process, the approach of linear regression modeling is adopted. Certain statistical tests are implemented to check the significance of Instagram as a marketing tool. Furthermore, a new statistical model, namely a new generalized inverse Weibull distribution, is introduced. This model is obtained using the inverse Weibull model with the new generalized family approach. Certain mathematical properties of the new generalized inverse Weibull model such as moments, order statistics, and incomplete moments are derived. A complete mathematical treatment of the heavy-tailed characteristics of the new generalized inverse Weibull distribution is also provided. Different estimation methods are discussed to obtain the estimators of the new model. Finally, the applicability of the new generalized inverse Weibull model is established via analyzing Instagram advertising data. The comparison of the new distribution is made with two other models. Based on seven analytical tools, it is observed that the new distribution is a better model to deal with data in the business, finance, and management sectors.

From the families we choose to the families we find online: media technology and queer family making

Since the mid-2000s, a number of Western countries have witnessed an increase in the number of children born into ‘alternative’ or ‘queer’ families. Parallel with this queer baby boom, online media technologies have become intertwined with most people’s intimate lives. While these two phenomena have appeared simultaneously, their integration has seldom been explored. In an attempt to fill this gap, the present article explores the ways in which contemporary queer reproduction is interwoven with online media practices. Importantly, the article does not understand online media as a technology that simply facilitates queer kinship; rather, it argues that online media technology is a reproductive technology in its own right. Drawing on empirical examples of media practices of kinning, such as online shopping for donor sperm and locating ‘donor siblings’ via online fora such as Facebook, the article analyses the merging and intersection of online media and queer kinship. These analyses serve as a foundation for an exploration of contemporary kinship and the development of a new theoretical framework for contemporary queer reproduction. Empirically, the examples are from single women’s (i.e. solo mothers) and lesbian couples’ family making. Using Weston's work on ‘chosen families’ as a backdrop for discussion, the article describes families of choice in light of new online kinship connections. In particular, the article focuses on online-initiated connections between donor siblings and how such connections can re-inscribe biology as important to queer kinship. Furthermore, it closely examines how media technology guides queer reproduction in particular directions and how technology causes becoming as a family.

TERMINOLOGICAL CHAOS IN LABELLING FALSE ONLINE CONTENT

The study deals with the issue of misleading information in the Internet environment. The authors define and analyse basic terms denoting various methods of disinformation. They point to the fact that there are specific terms and phenomena forming the thematic axis of the current discourse on disinformation practices in online media. They state that there is quite a lot of chaos in the field of terminology. This is the reason why they critically reconsider the existing knowledge related to disinformation, such as fake news and the like. The ambition of the authors is the conceptualisation of disinformation methods in the context of a broadening of genres and social background. They emphasise the need to research the issue because the information quality of various blogs, posts, comments, etc. raises many unanswered questions or incorrect answers. In their analysis of the issue, they use the basic methods of logical analysis, the hermeneutic approach, as well as selectively chosen examples of individual typological variants of disinformation.

Students’ Beliefs and Attitudes in Exploring Critical Literacy Comprehension towards Online Media Information into their Writing Practices

Addressing critical literacy exploration into students’ language learning is perpetuated in this digital media- dependent environment. Reading and writing competencies have also pertained the critical enactment in order to present the beyond textual values. Through class discussions and class observations among 12 tertiary English major students in a private university in Indonesia, this study explores students’ beliefs and attitudes towards their critical literacy comprehension on online media information through writing practices. This exploratory case study collect the data covering the recordings of class discussions and class observations from student lesson implementation during their writing course. The results of this study reveal that most of the students are aware of the critical understanding of particular information conveyed from certain messages in their written works. Their beliefs on critical literacy agency has raised several attitudes of how they construct the social perspectives based on selections of what to include and exclude in their written texts. The article is also present recommendation to enlighten the learning in a critical stance.

Twitter Data Collection Using Tools for Classification of fake Data: A Survey

Data could be a piece of information that’s needed to create helpful information. Getting data is required by people to analyzers. From this angle, data assortment is a vital step once doing any research or experiment. Knowledge collection may be outlined because the method of gathering and process the data to gauge the outcomes and use them for the researches. On-line Social Networking sites (OSN) are one in all the most effective sources of data. We have a tendency to be attending to introduce the advantages of exploitation the social network sites for data collection and also the totally different techniques which will be used. Based mostly on those data, a network of trust created exploitation the relationships among users. The methods the information being collected is totally different in term of potency and being useful. Be that as it may, the information mining applications in the web-based media are as yet crude and require more exertion by the scholarly world and industry to sufficiently play out the work. Client created content via online media destinations, for example, Twitter and Facebook gives freedom to specialists in different fields to comprehend human practices and social marvels. From one viewpoint, these human practices and social marvels are unpredictable in nature hence need top to bottom subjective investigation. On the other, the size of online media data requires colossal degree data assessment strategies. Automated information assortment of interpersonal interaction Web locales assumes a significant part in dynamic. Realize that the Web destinations like Twitter, Facebook, YouTube, Pin interest, and so on are turning out to be indispensable parts of public activity as of now. In any examination issue the mass effect on different issues can be investigated by breaking down the information produced from these Web locales. Also, these social stages are open and generally utilized for see sharing. Here different devices and systems have been assessed to gather the information from these Web locales. The capacities of conclusion investigation stretch out to the quantity of genuine choices like medical problems in the public eye, or the client responses, and so forth in this paper information assortment procedures have been shown with the assistance of live execution.

Post-Islamism in Indonesia: Analysis of Islamic Political Party Programs in the 2019 National Elections

Although most Indonesia's population is Muslim, the Islamic parties' votes do not show a significant general election. This tendency encourages Islamic parties to develop post-Islamism to win the sympathy of majority Muslim voters in Indonesia. Ahead of the 2019 election, identity politics or sectarian politics had strengthened in the 2017 DKI Jakarta Regional Head Election, and even identity politics had long ago emerged with the proliferation of Sharia regulations in several regions, as well as the issuance of the MUI Fatwa regarding the illegitimacy of secularism, liberalism, and pluralism. This study aims to see whether Islamic parties maintain Post Islamism in political programs in the 2019 election. The research uses a library research method by collecting data from books, journals, national print, and online media. The study results explain that Islamic parties remain consistent in using the Post Islamism approach in the 2019 election, even though their vote acquisition is stagnant as a middle board party. Received: 4 September 2021 / Accepted: 15 November 2021 / Published: 3 January 2022

Data Journalist : One Data Indonesia (SDI) Weak of Data

ABSTRACT The government built Satu Data Indonesia (SDI) as part of implementing the principle of open government. Through SDI, all data from the government from in Indonesia including data from government agencies can be easily accessed by visiting the data.go.id website. This situation should be a good ecosystem to develop data journalism in Indonesia, because the government provides abundant data. This study aims to see the implementation of SDI from the perspective of data journalists. Data journalist is a profession that is directly related to SDI, they are tasked with managing data to be presented to the public in a simple and easy-to-understand manner for the general public. By interviewing data journalists from Katadata and Lokadata (two online media who declare themselves as data journalism), this qualitative research is expected to provide constructive input on the implementation of One Data Indonesia. In general, the existence of SDI is appreciated by data journalists. But data journalists from Katadata and Lokadata do not use SDI as part of their news-seeking activities. They see SDI has basic problems, the lack of data availability, data relevance problems, problems with easy data access, no data updates (updates) to data reliability. In addition, problems with data updating and data reliability, on the other hand, not all regions in Indonesia are connected to SDI. As a result, data journalists do not use Satu Data Indonesia as an instrument to make news. They prefer to dig up data through data mining on the internet and collect data gradually in their data bank for processing at a later date. Keywords: One Data Indonesia, Open Government, Online Media, Data Journalism