Social Media In Indonesia Research Articles

The Effectiveness of Social Media in Increasing Community Attitude in The Furniture and Wood Processing Industry Polytechnic

The development of internet-based social media is in line with the times. Social media, which initially functioned as a medium for making friends, interacting, has now shifted its function to become a marketing medium. Currently, social media users in Indonesia are around 202 million people (73.7% of the total population). It shows the massive potential for the use of social media in Indonesia and the vast market potential in Indonesia. This study aims to study the effect of social media's effectiveness on the public's enthusiasm to register at the Kendal Industrial Polytechnic, analyze the best types of social media that can be used in the new student recruitment process. The research stages that will be carried out include literature study, data collection, data processing using AHP (Analytical Hierarchy Process). The results of this study found that the highest AHP value was social media Instagram, followed by Twitter and YouTube. So it can be concluded that the most effective social media in increasing public interest in registering at the Furniture and Wood Processing Industry Polytechnic is Instagram.

The COVID-19 Pandemic, Social Media Culture, and Public Education

The purpose of this study is to examine the public education of COVID-19 through the use of social and cultural media. Additionally, this research examines how the media affects the community and the role of mass media communication in raising knowledge about COVID19 prevention and preventative measures. This study employs a qualitative method by adopting a virtual ethnographic approach, which refers to ethnographic research regarding the internet and social media conducted in online settings. The findings indicate that Indonesian social media culture can serve as a teacher by educating the public and stimulating interest in the latest research on COVID-19; by directing people to their websites and landing pages for information on the latest and most trusted COVID-19; by marketing innovative services such as health care social funding; and by posting case information, photos, and results (with permission) relating to COVID-19.

Infodemi COVID-19 dengan Peran Social Media Fatigue, Deficient Self-Regulation, dan Promosi Diri

Social media envelopes a tremendous impact on the spread of the COVID-19 virus information. Nevertheless, this also increases the probability of misinformation-spreading as well. Using the affordace theory as well as the cognitive load theory, this study aims to analyze the effects of social media fatigue (SMF), deficient self-regulation (DS-R), and self-promotion on the spread of the COVID-19 misinformation on social media. The population of this research includes Indonesian social media users in the age range of 18 to 24 years old, with a number of sample N=155 (retrieved from G*power software). We use the Likert scale for our questionnaire, and the convenience sampling method for our study, spreading the questionnaire through online platforms such as LINE, WhatsApp, and Instagram. The data will then be analyzed using the SPSS software. Keywords: misinformation, social media, COVID-19

Fact-checking Literacy of Covid-19 Infodemic on Social Media in Indonesia

The massive spread of information about COVID-19 hoaxes since 2020 is a problem that any country, including Indonesia, must face. In anticipation of this, the West Java government conducted a fact-checking process using multiplatform Instagram @jabarsaberhoaks. This study aims to identify the fact-checking process that has been carried out by @jabarsaberhoaks accounts using the content analysis method of identifying 334 posts about COVID-19 hoaxes during 2020. The results showed that @jabarsaberhoaks conducted the fact-check by finding data from various hoax themes by checking official sources such as media, authorized agencies, and expert sources nationally and internationally. A note of correction of the clarification results from COVID-19 was published on Instagram. This research finding necessitates stakeholders intensify their campaigns and educate the community on COVID-19 information literacy to understand and respond to the COVID-19 phenomenon adequately.

Publicity or impact? The use of crowdfunding by Indonesian social media influencers during the covid-19 pandemic

Indonesia is marching toward tackling challenges during the endless Covid-19 pandemic. Under a situation known as VUCA (volatile, uncertain, complex, and ambiguous), a troop of social media influencers (SMI) paved the way to create crowdfunding initiatives. Shedding from the discussion of disaster capitalism, where individual or entities make profit from large-scale crises, also take advantage of the destabilized atmosphere, this paper analyses the initiatives of three Indonesian social media influencers in raising funds through Kitabisa.com from March to November 2020. Under the hashtag #BersamaLawanCorona (together fight the corona), the biggest crowdfunding platform, Kitabisa.com has gathered more than 158 billion rupiahs (11,2 million USD) taken from 5.655 campaigns during March to November 2020 period. These efforts are mainly pioneered by SMIs and their followers. Combining desk review and social media analysis method, the paper revealed that the crowdfunding initiatives by SMIs portrayed two sides of a coin: on the one hand reflects the emergence of solidarity and social contribution to create a positive impact, and on the other, generates publicity. It is, however, too quick to conclude whether the initiatives reflect a practice of disaster capitalism, because the publicity that they generated for these crowdfunding initiatives were not higher compare to publicity they gained from their everyday content.

PENGELOMPOKAN TWEETS PADA AKUN TWITTER TOKOPEDIA MENGGUNAKAN ALGORITMA DENSITY BASED SPATIAL CLUSTERING OF APPLICATIONS WITH NOISE

Social media has become a trend for Indonesian people to express opinions, socialize, and exchange ideas. Internet users in Indonesia in 2021 will reach 202.6 million, 84% of whom use the internet to access social media. Twitter is one of the popular social media in Indonesia. This phenomenon is an opportunity for companies to use Twitter as a marketing tool, one of which is a marketplace company in Indonesia, Tokopedia. This research is intended to cluster tweets uploaded by the @tokopedia Twitter account to find out the type of content that gets a lot of likes and retweets by followers of the @tokopedia Twitter account. Cluster formation is done by applying the Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN). DBSCAN is a clustering algorithm based on density. The DBSCAN algorithm requires two parameters, namely the radius (Eps) and the minimum number of objects to form a cluster (MinObj). This research conducted several experiments with different Eps and MinObj parameters on 1.344 tweets that had gone through the stages of removing duplication, text preprocessing, and feature selection. The quality of the cluster formed is measured using the Silhouette Coefficient. Based on the highest average Silhouette Coefficient, the parameter values of Eps=5 and MinObj=3 with Silhouette Coefficient = 0.575 are determined as the best parameters that produce 2 clusters and 7 noise. The type of content that has the highest average number of likes and retweets is the WIB (Indonesian Shopping Time) campaign, so Tokopedia can use this type of content as a marketing tool on Twitter social media because this type of content is preferred by followers of the @tokopedia Twitter account. Keywords: Twitter, Tokopedia, Clustering, DBSCAN, Silhouette Coefficient

Legal Studies Regarding Pornography On Live Streaming Through Social Media In The Era Of Digital Disruption

Technology in human life lately is increasingly needed and continues to develop. One form of development that occurs is the emergence of the Live Streaming feature. This feature appears on various social media platforms. There are even new applications that are intended to do Live Broadcasting—unfortunately, not only positive things that emerged due to this development. There have been several cybercrimes (cyber laws) that have negatively influenced internet users. Among them is the emergence of internet pornography. There is much Live Streaming that contains pornography in Live Broadcasting applications. The approach method used in this research is normative juridical, by examining the literature and reviewing positive law, which relates to the Law of Technology, Information and Electronic Transactions, and the Law of Pornography. This research will study the most appropriate way to regulate how Live Streaming containing pornography is viewed from Law Number 11 of 2008 jo. Law Number 19 of 2016 concerning Information and Electronic Transactions (ITE act) and Law Number 44 of 2008 concerning Pornography (Pornography act) and actions that the Government can take to minimize pornographic content on Live Streaming on social media in Indonesia.

Colloquial Words in Indonesian Social Media

Colloquial words are usually found in the caption or status of social media users. It sometimes creates a confuse for the readers or society because it is just understood by certain community. This becomes a unique and an interesting one to be explored. This research aims to investigate more about colloquial words in Indonesian social media captions those are mainly utilized by young people. It was conducted by a descriptive qualitative method using the theory of colloquial speech, Yule (2010). The data was taken from the captions made by social media users, then identified and classified based on its types. Furthermore, the data analysis of colloquial words was done contextually and theoretically. The research findings showed that from 66 colloquial words data, Coinage had become the highest rate percentage in which it is used to show the uniqueness and a trend or style in a social media caption or status. The unique things and new trends are easier to follow by young people, especially in Indonesian social media. Whereas backformation and derivation become the most rarely percentage used in the caption of Indonesian social media.

PEMANFAATAN INSTAGRAM SEBAGAI MEDIA LITERASI DIGITAL PERPUSTAKAAN SEKOLAH DI MASA PANDEMI COVID-19 STUDI KASUS INSTAGRAM PERPUSTAKAAN SMKN 32 JAKARTA

The phenomenon of the use of social media has increased in this decade where Generation Y and Z are the biggest social media users today. One of the most popular social media in Indonesia is Instagram, which in 2021 will be ranked fourth as the most popular social media. The popularity of Instagram provides an opportunity for libraries and librarians to innovate by utilizing Instagram as a digital literacy medium. Digital literacy is very important in the 21st century considering that science and technology are developing so rapidly. Especially during the covid-19 pandemic that has hit Indonesia for almost 2 years, it is necessary to reduce extreme interactions that force schools to implement e-learning, resulting in temporary school libraries not being able to be visited by students, this is a strong reason for libraries to advance digital literacy in the school environment. The purpose of this research is to find out: 1). Utilization of Instagram as a library digital literacy media and 2). The effectiveness of Instagram as a library digital literacy media. The method used in this research is the analysis of the research object and literature review. This type of research is descriptive qualitative. The results of this study are: 1). Utilization of Instagram as a library digital literacy media through posting content reviewing collections of books from the library, reviewing some important words and its meaning and as a medium for disseminating information on activities in the school library; 2). The Instagram of the school library at SMKN 32 Jakarta is considered effective as a digital literacy media for students at SMKN 32 Jakarta, seen from the enthusiasm of the students in responding to any published content.

An Analysis of Indonesia Social Media Users Reaction on English Speaking Content Creator

This article discusses the influence of English-language content creators for Indonesian social media users. The purpose of this study is to find out how influential English content is in improving speaking skills in English. The subjects of this study include from several levels of education totaling 63 respondents, the data we use is in the form of a questionnaire using quantitative methods. The results of this study, The author finds that with the existence of special social media (content creators) YouTube is proven to be able to produce a good impact on improving English language skills.

ANALYSIS OF VAN DIJK'S DISCUSSION ON ONLINE NEWS TEXT IN THE CASE OF DESTRUCTION AND HATE SPEAKING OF JERINX SID ON MEDIA LIPUTAN6.COM PERIOD 13 AUGUST 2020 TO 19 NOVEMBER 2020

Jerinx or JRX is a musician, singer-songwriter, and an Indonesian social media activist. He is best known as the drummer for the rock band Superman Is Dead. Jerinx is a social activist who has a great influence among young Balinese. Liputan6.com is a site that provides a variety of selected information for its users and also intensively reports on the Jerinx case. Because the mass media is an actor of social construction that defines reality, the researcher will analyze the macro structure and micro structure of online news discourse texts. By using descriptive qualitative methods and focusing research on reporting on allegations of defamation and hate speech on social media Instagram on the online media liputan6.com for the period 13 August 2020 to 19 November 2020 using Van Dijk's critical discourse analysis. The results showed that the 6 news discourse analyzes showed a tendency for the editorial of liputan6.com to side with IDI who reported Jerinx for alleged defamation and hate speech on social media Instagram and that the police action quickly resolved this case, with only 2 pieces of evidence that Jerinx obtained. named a suspect.
 Keywords: Online news, Critical Discourse Analysis.

Pengaruh Akun Media Sosial Instagram @whiteboardjournal Terhadap Pemenuhan Kebutuhan Informasi Pembaca


 
 
 As time develops, so has globalization. The field of communication and technology is one of the fields that is developing rapidly due to the development of globalization. One of the effects is social media. In this era, social media can be easily used by all people. Various social media provide various information on various platforms so that people can choose according to their information needs. The most frequently used social media in Indonesia is Instagram. Nowadays, Instagram is not only used for individual needs, but now Instagram has many benefits, for example, to do buying and selling or online shop, and to spread the latest information or news. Therefore, the purpose of this study is to find out how the influence of the Instagram @whiteboardjournal social media account on meeting the information needs of readers. This study uses a quantitative approach with a survey method. The population of this research is Communication Science students class of 2019 State University of Jakarta totaling 82 people with a total sample of 68 people. From the results of the study, it can be seen that there is an influence between the Instagram social media account @whiteboardjournal with meeting the information needs of readers.
 
 

Intention to seek health information on social media in Indonesia

To date, health information spreads across several social media platforms. This study aims to analyze the factors that influence the seeking health information available on social media using the Net Valence model and Risk-Perception Attitude framework. An online survey was administered to 1,308 respondents who had searched for health information on social media. Data analysis was performed using covariance-based structural equation modeling in the AMOS 24.0 software environment. This study result in gender comparison indicated different results among men and women, where the perceived risk only affected women in seeking health information on social media. In addition, perceived benefits, health self-efficacy, and subjective norms influenced the intention to seek health information on social media.

Penerapan Text Mining untuk Melakukan Clustering Data Tweet Akun Blibli Pada Media Sosial Twitter Menggunakan K-Means Clustering

Social media is computer-based technology that facilitates the sharing of ideas, thoughts, and information through the building of virtual networks and communities. Twitter is one of the most popular social media in Indonesia which has 78 million users. Businesses rely heavily on Twitter for advertising. Businesses can use these types of tweet content as a means of advertising to Twitter users by Knowing the types of tweet content that are mostly retweeted by their followers . In this study, the application of Text Mining to perform clustering using the K-means clustering method with the best number of clusters obtained from the Silhouette Coefficient method on the @bliblidotcom Twitter tweet data to determine the types of tweet content that are mostly retweeted by @bliblidotcom followers. Tweets with the most retweets and favorites are discount offers and flash sales, so Blibli Indonesia could use this kind of tweet to conduct advertising on social media Twitter because the prize quiz tweets are liked by the @bliblidotcom Twitter account followers.

The Construction of Epistemology of Fatwa on Social Interaction Through Social Media in Indonesia

<p>This study intends to identify the Islamic legal approach in determining the fatwa of the Indonesian Ulema Council Number 24 of 2017 concerning Law and Social Interaction in Social Media. This literature research is a type of philosophical normative research using an Islamic legal system approach. The results of the study conclude that the determination of the MUI fatwa on laws and guidelines for social interaction through social media uses a holistic approach to Islamic law. This major conclusion can be seen from various characteristics which is: <em>First</em>, the overall character (wholeness) and multidimensionality in the form of the use of universal textual arguments (<em>'aam</em>). <em>Second</em>, the character of purpose in the form of the use of various fiqh rules that emphasize the realization of benefit as the basis as well as the orientation of legal determination. <em>Third</em>, the cognitive character is the use of several classical <em>fiqh</em> ideas, but they are not used as independent arguments, but are combined with various other perspectives that are part of the fatwa arguments. <em>Fourth</em>, the character of openness in the form of an elaboration of the Islamic legal approach with the opinions of experts regarding the use of social media<strong><em> </em></strong></p><p>Penelitian ini bermaksud untuk mengidentifikasi pendekatan hukum Islam dalam penetapan fatwa Majelis Ulama Indonesia (MUI) Nomor 24 Tahun 2017 tentang Hukum dan Pedoman Bermuamalah Melalui Media Sosial. Penelitian pustaka ini termasuk jenis penelitian normatif filosofis dengan menggunakan pendekatan sistem hukum Islam. Hasil penelitian menyimpulkan bahwa penetapan fatwa MUI atas pedoman interaksi sosial melalui media social menggunakan pendekatan hukum Islam yang bersifat holistik. Kesimpulan besar inidapat dilihat dari berbagai karakteristik sebagai berikut: <em>Pertama</em>, karakter menyeluruh (<em>wholeness</em>) dan multidimensi dalam penggunaan dalil-dalil nas yang bersifat universal (‘aam<em>)</em>. <em>Kedua</em>, karakter kebermaksudan (<em>purpose</em>) berupa penggunaan berbagai kaidah fikih yang menekankan kemaslahatan sebagai dasar penetapanhukum. <em>Ketiga</em>, karakter kognitif berupa penggunaan beberapa pemikiran fikih klasik, namun tidak dijadikan sebagai dalil independen, melainkan dipadu dengan berbagai perspektif lain yang menjadi bagian dalil fatwa<em>. Keempat</em>, karakter keterbukaan dalam elaborasi pendekatan hukum Islam dengan pendapat para ahli terkait penggunaan media sosial.</p>

Criminal Response Formulation Policy Distribution News (Hoax) through Social Media

The spread of fake news (hoax) is increasingly prevalent nowadays. Hoax is fake news that often appears on the internet and aims to spread panic and mass fear. Many irresponsible individuals carried out an activity to achieve a goal that can cause unrest, chaos, and disrupt state security. The research objective is to understand the criminal provisions in the ITE Law into conditions that follow the development of the criminal act of spreading hoaxes—knowing the policy formulation in handling the spread of fake news (hoax) through social media in Indonesia in the future. The approach method used in this research is a normative juridical approach. The types of data used in this study are secondary data and primary data. This research is classified as a kind of qualitative research. The results of this study indicate that: The provisions that follow the development of the criminal act of spreading fake news (hoax) are seen from several aspects. First, the factory itself, the second legal factor of law enforcement officers, the third is facilities and infrastructure, fourth, the community factor. In terms of this aspect, the formulation of criminal law in dealing with fake news in the future looks better and more complete, especially in the concept of the Criminal Code, which regulates things that can be convicted regarding fake news and hate speech, the form of fake news and hate speech in cyberspace. The current criminal law policy still has shortcomings, especially in terms of policy formulation.

ANALISIS SENTIMEN ULASAN APLIKASI TIKTOK DI GOOGLE PLAY MENGGUNAKAN METODE SUPPORT VECTOR MACHINE (SVM) DAN ASOSIASI

Corona virus pandemic requires people to do activities from home so the number of internet usage in Indonesia has increased because information is carried out through social media. One of the popular social media in Indonesia is TikTok. However, the Tiktok’s popularity cannot be separated from the footsteps of TikTok in Indonesia which was blocked by government for committing many violations. Each application allows users to provide a review about the application. To find out the users TikTok’s sentiment, sentiment analysis was carried out to classify reviews into positive and negative sentiments. Classification is carried out using the Support Vector Machine (SVM) with kernel Radial Basis Function (RBF) method which is more effective classification algorithm and kernel function, seen from previous studies. The parameters used in the SVM gamma default 0.0004255 and the Cost (C) parameter experiment used is 0,01; 0,1; 1; 10; 100; 1000. The results can provide information that can be retrieved using the association method. The steps are scrapping data, data preprocessing, sentiment scoring, TF-IDF weighting, classifying using the SVM RBF kernel method and text association. Evaluation of the model using a confusion matrix with the value of accuracy and kappa. The greater the value of accuracy and kappa, the better the performance of the classification model. The review classification resulted in the best accuracy rate of 90.62% and the best kappa of 81.24% which means that it includes an almost perfect classification result. Based on the data association, positive reviews are given because users like and are comfortable with the current version of TikTok which contains funny videos on fyp. Meanwhile, negative reviews were given because the user failed to register and his account was blocked, so the user asked TikTok to continue to make improvements.

Potensi Teknologi dan Media Sosial Dalam Meningkatkan Pemasaran Produk Asuransi Syariah

As the largest Muslim country, the country occupied by 236,53 The population is Muslim, if this is used and used as an opportunity for sharia insurance to develop rapidly in this country. Indonesia should have the potential to become the largest Muslim country where most of the Muslim population uses sharia products, especially sharia insurance. In fact, the current fact is that not many Indonesian Muslims use banking and non-banking products on the basis of sharia principles. AAJI's data report, if users of insurance products in Indonesia still reach 7.5%, and only 5% of them are users of sharia insurance. The lack of awareness of knowledge and the lack of strong exposure to sharia insurance products are indicators of the reason why there is still a small level of customer participation using sharia insurance. This reason is further strengthened when viewed from the literacy rate for sharia insurance in Indonesia which has only reached a nominal figure of 19,4%. For this reason, considering the widespread use of social media in Indonesia, which is dominated by the current millennial and generation Z, the marketing strategy of sharia insurance is now starting to move by utilizing the digitalization of marketing media. This study is intended to find out the potential influence of technology and social media in helping to increase sales of sharia insurance products in terms of marketing aspects. Observational analysis of previous research and of sharia insurance companies that carried out this marketing strategy, obtained the findings that social media marketing and the compliance of several insurance products that apply sharia principles in it, are significantly able to increase people's purchasing power or contribute significantly. Indirectly persuade social media users to determine their decision to buy sharia insurance products.
 Key words : Sharia insurance marketing, Social media, Technology.

Potensi Teknologi dan Media Sosial Dalam Meningkatkan Pemasaran Produk Asuransi Syariah

As the largest Muslim country, the country occupied by 236,53 The population is Muslim, if this is used and used as an opportunity for sharia insurance to develop rapidly in this country. Indonesia should have the potential to become the largest Muslim country where most of the Muslim population uses sharia products, especially sharia insurance. In fact, the current fact is that not many Indonesian Muslims use banking and non-banking products on the basis of sharia principles. AAJI's data report, if users of insurance products in Indonesia still reach 7.5%, and only 5% of them are users of sharia insurance. The lack of awareness of knowledge and the lack of strong exposure to sharia insurance products are indicators of the reason why there is still a small level of customer participation using sharia insurance. This reason is further strengthened when viewed from the literacy rate for sharia insurance in Indonesia which has only reached a nominal figure of 19,4%. For this reason, considering the widespread use of social media in Indonesia, which is dominated by the current millennial and generation Z, the marketing strategy of sharia insurance is now starting to move by utilizing the digitalization of marketing media. This study is intended to find out the potential influence of technology and social media in helping to increase sales of sharia insurance products in terms of marketing aspects. Observational analysis of previous research and of sharia insurance companies that carried out this marketing strategy, obtained the findings that social media marketing and the compliance of several insurance products that apply sharia principles in it, are significantly able to increase people's purchasing power or contribute significantly. Indirectly persuade social media users to determine their decision to buy sharia insurance products.
 Key words : Sharia insurance marketing, Social media, Technology.

WhatsApp Chat Fraud Analysis Using Support Vector Machine Method

Fraud is one of the most cyber crime on social media. One of the popular social media in Indonesia is Whatsapp. Cases of fraud through chat on Whatsapp application often occur in Indonesia, its due to lack of information. The research conducted related to the detection of words containing fraud in WhatsApp chat application. The methods in this research applies the literature study method to find secondary data in the references theories and relevant research. The data collection is carried out by collecting chats that lead to fraud cases and then processing them using RapidMiner application with SVM (Support Vector Mechine) method. The results of this research can be concluded that this research succeeded in implementing SVM algorithm for whatsapp fraud chat analysis with an accuracy rate of 84.21%