scholarly journals MODERASI DAKWAH DI ERA DISRUPSI (Studi tentang Dakwah Moderat di Youtube)

2021 ◽  
Vol 15 (2) ◽  
pp. 109-129
Author(s):  
Faisal Muzzammil
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Media Literacy ◽  
Ideal Form ◽  
Basic Framework ◽  
Muslim Intellectuals ◽  
Discussion Format ◽  
Video Format ◽  
Data Mining And Analysis

This study aims to reveal more about: (1) Moderate Da'wah accounts on Youtube; (2) Moderate preachers on Youtube; (3) Format of Da'wah Content on Youtube. Based on the results of data mining and analysis, several findings were obtained: (1) Three moderate da'wah accounts on Youtube are GusMus Channel with soothing content, CakNun.Com with philosophical content, and Santri Gayeng with traditional content. (2) Three moderate preachers identified on Youtube are Gus Mus with a humanist preaching approach, Cak Nun with a logical preaching approach, and Gus Baha with a millennialist approach to preaching. (3) Three formats of da'wah content on Youtube are short tausiyah format, dialogical discussion format, and lyric video format. There are two recommendations from the results of this study: (1) As a reference for preachers and Muslim content creators in conveying Islamic da'wah messages on social media, especially YouTube, to make it more universal, inclusive and moderate; (2) As a basic framework for academics, social media literacy activists, and Muslim intellectuals, including related stakeholders such as Ministry of Religion Affairs Republik Indonesia in creating and developing an ideal form of religious moderation. Keywords: Moderate Da'wah; Era of Disruption; Youtube content.

scholarly journals A Framework for Social Media Data Mining and Analysis to Product and Service Development- Case of The Zimbabwean National Art Gallery

2021 ◽  
pp. 194-209
Author(s):  
Kumbirayi Kwenda ◽  
Noreen Sarai ◽  
Tinashe Gwendolyn Zhou
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Web Mining ◽  
Time Frame ◽  
Service Development ◽  
Art Gallery ◽  
Social Media Data ◽  
Word Search ◽  
Media Data ◽  
Data Mining And Analysis

Social networks have become a vital component in personal life. People are addicted to social network features, updating their profile page and collaborating virtually with other members have become daily routines. Web data mining is a new trend in current research studies. This study sought to develop a framework for social media data mining and analysis for the betterment and advancement of products (art effects) and services (exhibitions) with in the contemporary art industry of Zimbabwe through a case study of the Zimbabwean National Art Gallery. The information for this paper was gathered through the use of in-depth interviews, questionnaires, key-word search and API from the organization’s social media twitter handle were used to get the data for analysis. Focus group participants were chosen from the National art gallery and a matching number was selected from the artist who makes the artworks which will be soles or exhibited through the national art gallery. The findings suggested that, yes it is possible to inform the next batch of products with information mined from analyzing the sentiments or reviews of the previous set of artworks. Hence with this in mind the researchers managed to develop a framework which can be used to implement social media mining in the art sector of Zimbabwe. The proposed framework tried to handle the major limitations in current web mining frameworks by handling challenges such as special symbols, slang use, Data Validity analysis, time frame, and methodologies.

Social Media Literacy For Housewives In Kanoman Maguwoharjo Village, Sleman, Yogyakarta

2020 ◽  
Author(s):  
Dewi Novianti ◽  
Siti Fatonah
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Data Collection ◽  
Focus Group Discussion ◽  
Media Literacy ◽  
Participant Observation ◽  
Group Discussion ◽  
Qualitative Approach ◽  
Research Subjects

Social media is a necessity for everyone in communicating and exchanging information. Social media users do not know the boundaries of age, generation, gender, ethnicity, and religion. However, what is interesting is the user among housewives. This study took the research subjects of housewives. Housewives are chosen as research subjects because they are pillars or pillars in a household. If the pillar is strong, then the household will also be healthy. Thus, if we want to build a resilient and robust generation, we will start from the housewives. A healthy household starts from strong mothers too. This study aims to find out the insights of the housewives of Kanoman village regarding the content on smartphones and social media and provide knowledge of social media literacy to housewives. This study used a qualitative approach with data collection techniques using participant observation, interviews, focus group discussion (FGD), and documentation. The results of the study showed that previously housewives had not experienced social media literacy. Then the researchers took steps to be able to achieve the desired literacy results. Researchers took several steps to make them become social media literates. They become able to use social media, understand social media, and even produce messages through social media.

MEDIA LITERASI BAGI DIGITAL NATIVES: PERSPEKTIF GENERASI Z DI JAKARTA

2018 ◽  
Vol 6 (1) ◽  
pp. 60
Author(s):  
Ranny Rastati
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
Generation Y ◽  
Role Model ◽  
Digital Natives ◽  
The Internet ◽  
Positive Image ◽  
Generation Z ◽  
Internet Users ◽  
Depth Interview

In 2017 the majority of internet users are 19-34 years old or 49.52% (APJI, 2017). Almost half of the internet users in Indonesia are digital natives who were born after 1980: Generation Y (1980-1995) and Generation Z (1996-2009). This research will be focused on Generation Z as the true generation of the internet. Generation Z was born when the internet is available, a contrast to Generation Y who is still experiencing the transition of the internet. The purpose of this research is to find an effective way of providing information about media literacy to Generation Z. Through descriptive qualitative, the study was conducted with in-depth interview and observation toward 12 university students in Jakarta. The results showed that there are four effective ways of providing information about media literacy which is i) videos distributed to social media such as Youtube and Instagram, ii) interesting memes in communicative style, iii) through selebgram or micro-celebrity in Instagram who is consider as a role model and have a positive image, and iv) roadside billboards. Another interesting finding is that male informants tend to like media literacy information through videos and memes, while female informants prefer campaigns conducted by positive image selebgram and billboard. AbstrakPada tahun 2017 pengguna internet di Indonesia mayoritas berusia 19-34 tahun yaitu sebanyak 49,52% (APJI, 2017). Dari data tersebut terlihat bahwa hampir sebagian pengguna internet di Indonesia adalah digital natives atau penutur asli teknologi digital yaitu orang-orang yang lahir setelah tahun 1980: Generasi Y (1980-1995) dan Generasi Z (1996-2009). Penelitian ini akan difokuskan kepada Generasi Z karena mereka dianggap sebagai sebenar-benarnya generasi internet. Generasi Z lahir saat teknologi tersebut sudah tersedia, berbeda dengan Generasi Y yang masih mengalami transisi teknologi hingga menuju internet. Tujuan penelitian ini adalah mencari tahu cara yang efektif dalam memberikan informasi mengenai media literasi kepada generasi Z. Metode yang digunakan adalah deskriptif kualitatif dengan observasi dan wawancara mendalam. Informan berjumlah 12 orang mahasiswa di Jakarta. Hasil penelitian menunjukkan bahwa ada empat cara yang efektif dalam memberikan informasi mengenai media literasi yaitu i) video yang disebarkan ke media sosial seperti Youtube dan Instagram, ii) meme menarik dengan bahasa yang mudah dimengerti, iii) melalui selebgram yang menjadi panutan dan berimage positif, dan iv) papan iklan di pinggir jalan. Temuan menarik lainnya adalah informan laki-laki cenderung menyukai informasi media literasi melalui video dan meme yang disebarkan ke media sosial, sementara perempuan lebih menyukai kampanye yang dilakukan oleh selebgram berimage positif dan papan iklan.

A Survey of Social Media, Big Data, Data Mining, and Analytics

2018 ◽  
Vol 03 (03) ◽  
pp. 1850003 ◽  
Author(s):  
Jared Oliverio
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Big Data ◽  
Environmental Education ◽  
Family Businesses ◽  
Large Percentage ◽  
Specific Behavior ◽  
Social Media Data ◽  
Media Applications ◽  
Media Data

Big Data is a very popular term today. Everywhere you turn companies and organizations are talking about their Big Data solutions and Analytic applications. The source of the data used in these applications varies. However, one type of data is of great interest to most organizations, Social Media Data. Social Media applications are used by a large percentage of the world’s population. The ability to instantly connect and reach other people and companies over distributed distances is an important part of today’s society. Social Media applications allow users to share comments, opinions, ideas, and media with friends, family, businesses, and organizations. The data contained in these comments, ideas, and media are valuable to many types of organizations. Through Data Mining and Analysis, it is possible to predict specific behavior in users of the applications. Currently, several technologies aid in collecting, analyzing, and displaying this data. These technologies allow users to apply this data to solve different problems, in different organizations, including the finance, medicine, environmental, education, and advertising industries. This paper aims to highlight the current technologies used in Data Mining and Analyzing Social Media data, the industries using this data, as well as the future of this field.

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