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Endah Murwani, Endah
Universitas Multimedia Nusantara
Agriculture, Biological Sciences & Forestry Arts Humanities Control & Systems Engineering Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Mapping The Digital Movement in The Hashtags #2024AniesPresiden, #GanjarPresiden and #PrabowoPresiden Restia Tities Asmawarini; Endah Murwani; Bertha Sri Eko Murtiningsih
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol 7, No 2 (2022): December 2022 - Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia
Publisher : Ikatan Sarjana Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/jkiski.v7i2.727

Abstract

Hashtag mobilization has currently become one of the ways to mobilize opinion. As the 2024 presidential election draws nearer, hashtags which are considered effective to mobilize support for presidential candidates in 2024 have emerged and have been widely discussed on Twitter, using different hashtags, namely #2024AniesPresiden, #GanjarPresiden, and #PrabowoPresiden. This research uses Theory of Digital Movement of Opinion, a type of digital activism characterized by spontaneous and disorganized reactions from social media users on Twitter. This research aims to map those three hashtags: can different hashtags produce different mobilizations? The research method is descriptive and quantitative with social network analysis conducted by taking data from the three hashtags in the period from April 29, 2022 to May 12, 2022. This study found 235 accounts talking about #2024AniesPresiden, 22 accounts talking about #GanjarPresiden, and eight accounts talking about #PrabowoPresiden, where data was processed using NodeXL software. The base and its mappings are related to the diameter, density, and centrality (betweenness, closeness, and degree). The @SMILEINDO24 in the hashtag #2024AniesPresiden, the @ganjar_center in the hashtag #GanjarPresiden, and the @djagger17 in the hashtag #PrabowoPresiden are also found as the central or most influential actors in disseminating information and serving as a liaison. In contrast, the @AniesIndonesia in the hashtag #2024AniesPresiden, the @ganjar_center in the hashtag #GanjarPresiden, and the @prabowo in the hashtag #PrabowoPresiden are the critical actors in the formation of communication networks and information flow. The findings of this study have implications on dominant actors that can be used or exploited by policymakers so that these actors can influence public opinion and mobilize opinion movements.
Participatory Culture Fans Of Boyband Exo On Social Media Instagram Endah Murwani; Evlyn Genki; Nathanael Dewa; Stephanie Adita
JCommsci - Journal of Media and Communication Science Vol. 6 No. 1 (2023): Jcommsci Vol 6 Issue 1 2023
Publisher : Program Studi Ilmu Komunikasi Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcommsci.v6i1.201

Abstract

Phenomenon Hallyu that has become endemic in several countries does offer its own entertainment. Talking about K-Pop, it's always an interesting thing to discuss considering its significant development. The love of fans for their idols makes whatever the latest news about idols is spread on social media will always be monitored at any time regardless of the time. .This study aims to find out how the behavior patterns of fans of boyband EXO, commonly known as EXO-L, on the @WowFaktaEXO Instagram page This study uses a qualitative research with descriptive nature and data collection of observations and interviews. The data analysis method used is virtual ethnography. This study uses the concept of participatory cultures which is illustrated through four participatory cultures, namely: affiliation, expression, collaborative problem solving, and circulation. The results showed that fans joined the Exo-L community such as making fan videos, reading fan fiction stories, participating in anniversary projects, mass voting or streaming and circulating in the fan community.
Storytelling, citra destinasi, dan pengalaman merek pada video promosi kementerian pariwisata dan ekonomi kreatif Wahyu, Anabel Yevina Mulyadi; Berto, Agustinus Rusdianto; Murwani, Endah
Jurnal Studi Komunikasi Vol. 6 No. 2 (2022)
Publisher : Faculty of Communications Science, Dr. Soetomo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jsk.v6i2.4928

Abstract

The Ministry of Tourism and Creative Economy (Kemenparekraf) of the Republic of Indonesia is aggressively promoting tourist destinations with various policies after confirmed cases of Covid-19 decreased. Efforts to promote tourist destinations are created a positive image of Indonesian tourism destinations. The promotional video used storytelling techniques from Bali and Lake Toba, two Indonesian tourist destinations. This study aimed to determine the effect of the Ministry of Tourism and Creative Economy's tourism promotion videos using storytelling techniques on the image of the destination, mediated by brand experience. This study uses a quantitative approach with experimental research methods. The results of this study indicate that the storytelling in The Heart Beat of Toba (53.4%) and Earth Revitalisation (22.5%) videos influences the image of the destination mediated by brand experience.
Pemetaan pola keragaman konten perilaku perundungan daring pada remaja melalui media sosial Murwani, Endah
Jurnal Studi Komunikasi Vol. 7 No. 1 (2023)
Publisher : Faculty of Communications Science, Dr. Soetomo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jsk.v7i1.6105

Abstract

The research aims to map the pattern of cyberbullying content diversity produced by adolescents through social media. The netnographic method is used to observe cyberbullying behavior in adolescent communities that are connected through social media. The research is a realist ethnography in nature, describing cyberbullying behavior from the content of youth community conversations. Research participants were adolescents aged 17-22 years who used social media and had been involved in cyberbullying, both as perpetrators and/or victims. Data was collected through participatory observation by being directly involved in the participants' social media activities. The results of the study identify cyberbullying content that is often sent by perpetrators and received by victims. First, flaming - content that contains anger, harsh words and vulgarity. Second, online harassment – ​​teasing, physically insulting and mocking parents' names. In addition, denigration was found - content created by gossiping about something that is not true; impersonation, uploading content that embarrasses the victim; and outing and trickery, sending dark jokes related to religion. The implications of this cyberbullying content mapping are for developing a literacy model for preventing cyberbullying behavior in adolescents who are easily exposed and unknowingly carry out cyberbullying behavior towards their peers.
Proses Pengambilan Keputusan Adopsi Inovasi Aplikasi Gramedia Digital Wa Ode Wulan Ratnaningsih; Endah Murwani; Agustinus Rusdianto Berto
Jurnal Komunikasi Profesional Vol. 6 No. 6 (2022)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (412.331 KB) | DOI: 10.25139/jkp.v6i6.5294

Abstract

This study aims to determine how the process of consumers adopting Gramedia Digital application innovations and consumer behavior in making decisions about these innovations. The research is descriptive qualitative. The research subjects were 10 consumers of Gramedia Digital application users who were interviewed in depth. The results of the interview will be examined through the concept of diffusion and adoption of innovation as well as a consumer decision-making model which includes three stages, the input, process, and output stages. The results obtained consumers decide to use Gramedia Digital innovation based on five stages, awareness, interest, evaluation, trial, and adoption. The decision-making stage, the innovation adoption stage is carried out by consumers, namely accepting and using Gramedia Digital innovation products because they provide satisfaction to consumers. Consumers do not feel any cognitive dissonance after purchase, instead they make repeat purchases. Satisfied customers will make e-WoM, repeat purchases, and recommend innovative products, both digital books sold by Gramedia Digital and Gramedia Digital applications. Penelitian ini bertujuan untuk mengetahui bagaimana proses konsumen mengadopsi inovasi aplikasi Gramedia Digital serta perilaku konsumen dalam pengambilan keputusan terhadap inovasi tersebut. Penelitian bersifat kualitatif deskriptif. Subjek penelitian adalah 10 konsumen pengguna aplikasi Gramedia Digital yang diwawancara secara mendalam. Hasil wawancara akan diteliti melalui konsep difusi dan adopsi inovasi serta model pengambilan keputusan konsumen yang meliputi tiga tahapan yaitu, tahap masukkan (input), proses, dan keluaran (output). Hasil yang didapat Konsumen memutuskan untuk menggunakan inovasi Gramedia Digital berdasarkan pada lima tahapan, yaitu awareness, interest, evaluasi, trial, dan adopsi. Tahap pengambilan keputusan, tahap adopsi inovasi dilakukan konsumen, yaitu menerima dan menggunakan produk inovasi Gramedia Digital karena memberikan kepuasan pada konsumen. Konsumen tidak merasakan adanya disonansi kognitif setelah pembelian justru melakukan pembelian ulang. Pelanggan yang puas akan melakukan e-WoM, pembelian berulang, dan merekomendasikan produk inovasi baik buku digital yang dijual Gramedia Digital maupun aplikasi Gramedia Digital.
Di Balik Fanatisme Suporter Indonesia: Mobilisasi Dukungan Politik Melalui Tagar #SepakbolaKanjuruan vs #DukungPSSI 2022 Ratna Yustisia Purwaningtyas; Agustinus Rusdianto Berto; Endah Murwani
Jurnal Komunikasi Profesional Vol. 7 No. 3 (2023)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jkp.v7i3.6160

Abstract

Tragedi Sepakbola Kanjuruan di Malang pada tanggal 1 Oktober 2022 menjadi perhatian dan perbincangan di media sosial Twitter yang memunculkan berbagai tagar diantaranya tagar #SepakbolaKanjuruan dan tagar #DukungPSSI. Melalui kedua tagar yang berbeda ini peneliti akan mengidentifikasi struktur jaringan, kelompok dan peran aktor dalam kedua tagar tersebut. Penelitian ini mengacu pada Theory of Digital Movement of Opinion (DMO) dan Digital Fandom. Tujuan dari penelitian ini adalah untuk mengetahui apakah tagar yang berbeda, yaitu tagar #SepakbolaKanjuruan dan tagar #DukungPSSI, dapat menghasilkan mobilisasi yang berbeda pada media sosial. Metode yang digunakan dengan pengumpulan data melalui media sosial twitter. Penelitian ini menggunakan pendekatan kuantitatif yang bersifat deskriptif. Data dikumpulkan melalui perbincangan di media twitter dengan tagar #sepakbolaKanjuruan dari tanggal 2 Oktober 2022 hingga 4 oktober 2022 menghasilkan 2500 tweet sedangkan perbincangan tagar #DukungPSSI dikumpulkan dari tanggal 14 November hingga 22 November 2022 menghasilkan 86 tweet. Data diolah dan dianalisis menggunakan Analisa Jaringan Sosial (SNA) diproses menggunakan perangkat lunak Netlytic. Hasil penelitian menunjukkan bahwa ada perbedaan dalam struktur jaringan, kelompok dan peran aktor . Pada tagar #SepakbolaKanjuruan struktur jaringannya lebih bersifat Homogen , kelompok lebih terorganisir dan peran aktornya lebih dua arah sehingga memunculkan interaksi parasosial atau digital fandom sedangkan untuk tagar #DukungPSSI yang digunakan oleh tweet politik pendukung kandidat Ketua PSSI memunculkan struktur yang lebih heterogen, kurang aktif , cenderung tidak terorganisir dan peran aktornya satu arah. Identifikasi yang dihasilkan tagar #Sepakbola Kanjuruan terlihat lebih dapat memobilisasi khalayak publik dalam suatu opini daripada tagar #DukungPSSI.
Identifikasi Jaringan E-WOM Brand Scarlett pada Fandom EXO di Twitter Buko Vinaring; Endah Murwani; Rismi Juliadi
Jurnal Audiens Vol. 5 No. 2 (2024): June
Publisher : Universitas Muhammdiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jas.v5i2.375

Abstract

Momen pengumuman brand ambassador telah menjadi sorotan di antara fandom dari boyband group K-Pop EXO. Hal ini menarik untuk dikaji lebih dalam terkait mengidentifikasi jaringan komunikasi E_WOM yang terbentuk dari fandom tersebut pada pengumuman teaser brand ambassador untuk produk Scarlett. Penelitian ini menggunakan pendekatan kuantitatif dengan Social Network Analysis (SNA) yang dilakukan dengan pengambilan data dari keyword Scarlett pada 11 Juni 2023. Data dikumpulkan dengan menggunakan aplikasi Netlytic dan dianalisis lebih lanjut menggunakan aplikasi Gephi. Keterhubungan jaringan komunikasi dieksplorasi dalam konteks diameter, kepadatan, dan sentralitas (betweenness, closeness, and degree). Akun @annkimjd pada keyword Scarlett memiliki score betwenness centrality paling tinggi juga dianggap sebagai aktor yang paling berpengaruh dalam penyebaran informasi dan menjadi penghubung antara aktor satu sama lain. Temuan kajian ini mempunyai implikasi terhadap pembicaraan aktor-aktor dominan yang dapat dimanfaatkan untuk menyebarkan E-WOM pada jaringan komunikasi yang ada
Dilahirkan Teknologi, Dikembangkan Manusia: Analisis Jaringan Sosial terhadap Virtual Influencer Harris Salim; Agustinus Rusdianto Berto; Murwani, Endah
Jurnal Riset Jurnalistik dan Media Digital Volume 4, No. 1, Juli 2024 Jurnal Riset Jurnalistik dan Media Digital (JRJMD)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrjmd.v4i1.3942

Abstract

Abstrak. Metahuman merupakan manusia digital yang dilahirkan oleh kemajuan teknologi. Banyak akun-akun sosial media yang memperkenalkan diri mereka sebagai metahuman di Indonesia sendiri metahuman sudah hadir sejak tahun 2018 yang memiliki tampilan menyerupai manusia sehingga metahuman memiliki kemampuan untuk menyampaikan pesan kepada publik dan digunakan untuk kegiatan periklanan digital. Melihat dari salah satu video YouTube dari akun Arbie Seo penelitian ini ditujukan untuk mengetahui tanggapan pengguna YouTube Indonesia tentang fenomena metahuman khususnya Arbie Seo melalui analisis sentimen dan analisis jaringan kelompok menggunakan metode Social Network Analysis (SNA) network. Hasil penelitian menunjukan mayoritas komentar dengan sentimen netral yang menunjukan adanya kebingungan tentang konsep metahuman. Pada jaringan kelompok ditemukan adanya lima klaster yang didominasi oleh komentar dengan sentimen netral. Komentar dengan sentimen negatif memiliki jumlah yang lebih banyak daripada sentimen positif akan tetapi komentar dengan sentimen negatif tidak menyebabkan adanya diskusi pada kolom komentar. Komentar dengan sentimen netral ini jika tidak ditanggapi dengan baik dapat berpotensi memberikan persepsi negatif terhadap metahuman dikarenakan komentar sentimen negatif yang terjadi akibat adanya mispersepsi metahuman dan robot. Komentar dengan sentimen negatif yang meyebutkan robot menunjukan ketakutan dan mengaitkan dengan kiamat. Pengembang metahuman harus dapat memberikan informasi terhadap konsep metahuman agar metahuman dapat dipersepsikan secara positif dan manusia dapat mengadopsi metahuman sebagai inovasi yang dapat membantu kehidupan manusia. Abstract. Metahuman is a digital human being born by technological advances. Many of the social media accounts that introduce themselves as metahuman in Indonesia themselves have been present since 2018 that have a human-like appearance so that metahumans have the ability to convey messages to the public and are used for digital advertising activities. Looking at one of the YouTube videos from Arbie Seo's account, this research aims to find out the responses of YouTube users Indonesia about metahuman phenomena in particular Arbie SEO through sentimental analysis and group network analysis using the Social Network Analysis method. (SNA). The results showed a majority of comments with neutral sentiment that showed confusion about the concept of metahumanism. On the network of groups found five clusters dominated by comments with neutral sentiment. Comments with negative feelings have more than positive feelings, but comments with negative sentiments do not lead to discussion in the comment column. Comments with neutral feelings if not responded well can potentially give a negative perception of metahuman due to negative sentimental comments that occur as a result of misperceptions of meta-humans and robots.
Perang Narasi di Instagram: Analisis Sentimen dan Pola Komunikasi Netizen Terkait Hasil Pilpres 2024 Ming Ho; Agustinus Rusdianto Berto; Endah Murwani
Jurnal Riset Jurnalistik dan Media Digital Volume 4, No. 1, Juli 2024 Jurnal Riset Jurnalistik dan Media Digital (JRJMD)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrjmd.v4i1.3948

Abstract

Abstrak. Kemampuan media sosial dalam menciptakan ruang dialog antara politisi dan publik, serta menarik perhatian pemilih muda, menjadikan media sosial semakin vital bagi politisi untuk melakukan personal branding lewat media sosial. Penelitian ini menggunakan pendekatan kuantitatif dan kualitatif untuk menganalisis jaringan komunikasi dan sentimen netizen di media sosial mengenai postingan @IDNTimes pada tanggal 16 Maret 2024 dengan judul "Prabowo-Gibran Menang Pilpres 2024 di 25 Provinsi". Metode Social Network Analysis (SNA) digunakan menganalisa jaringan dan komentar Instagram dengan bantuan aplikasi Voyant dan Gephi 10.1. Studi ini menemukan bahwa perhitungan sentralitas derajat dapat digunakan untuk mengidentifikasi individu-individu yang menonjol. Node @Dinasasmitareal adalah aktor yang paling signifikan dengan nilai centrality tertinggi,  hal ini menunjukkan bahwa akun tersebut menjadi pusat perhatian dalam diskusi. Analisis betweenness centrality menyoroti peran @Dinasasmitareal sebagai perantara utama antara aktor lain dalam jaringan, menegaskan pengaruhnya dalam menghubungkan komunikasi di antara mereka. Sedangkan analisis closeness centrality, kelima aktor yang terlibat menunjukkan tingkat aksesibilitas yang setara dalam berinteraksi di jaringan. Dalam hal teks analisis kata "menang" paling banyak di sebutkan yaitu sebanyak 14 kata. Meskipun kata "menang" sering muncul, namun ada jumlah komentar yang negatif yang mengekspresikan ketidakpuasan atau keraguan terhadap kemenangan Paslon nomor 02. Abstract. The ability of social media to create a dialog space between politicians and the public, as well as attracting the attention of young voters, makes social media increasingly vital for politicians to conduct personal branding through social media. This research uses quantitative and qualitative approaches to analyze netizen communication networks and sentiments on social media regarding the @IDNTimes post on March 16, 2024 with the title “Prabowo-Gibran Wins 2024 Presidential Election in 25 Provinces”. The Social Network Analysis method was used to analyze the network and Instagram comments with the help of the Voyant and Gephi 10.1 applications. This study found that degree centrality calculations can be used to identify prominent individuals. The @Dinasasmitareal node is the most significant actor with the highest centrality value, indicating that the account is the center of attention in the discussion. The betweenness centrality analysis highlights the role of @Dinasasmitareal as the main intermediary between other actors in the network, emphasizing its influence in connecting communication between them. As for the closeness centrality analysis, the five actors involved showed equal levels of accessibility in interacting in the network. In terms of text analysis, the word “menang” was mentioned the most, with 14 words, there was a negative number of comments expressing doubt about the Prabowo-Gibran's victory.
Social Network Analysis: Political Elite Actors #DemokratLawanBegal on Twitter Susi Nurdinaningsih; Susilo, Daniel; Murwani, Endah
Jurnal Komunikasi Profesional Vol. 8 No. 1 (2024)
Publisher : Fakultas Ilmu Komunikasi Universitas dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/jkp.v8i1.7063

Abstract

This research explores the impact of the #DemokratLawanBegal hashtag on Twitter, focusing on its role in shaping political discourse and influencing party leaders' alignment. It aims to uncover relationships among elite actors and identify influential figures within the Twitter network using this hashtag. Drawing on concepts like political communication, political elites, Twitter's importance, and Social Network Analysis (SNA), the study adopts SNA methodologies with tools like Netlytic and Gephi Apps. Data collection occurred throughout 3-10 April 2023 to maintain relevance. The findings highlight the significant impact of the #DemokratLawanBegal hashtag in shaping political discourse and the power struggle within the Democratic Party. AHY emerges as a more influential figure than Moeldoko, and Twitter, particularly through this hashtag, plays a central role in political communication and framing strategies. Social Network Analysis reveals a closely interconnected network of actors, with the official Democratic Party account (@pdemokrat) central to information dissemination. Some actors facilitate swift information sharing (closeness centrality), while others serve as key connectors (betweenness centrality). These insights deepen our understanding of contemporary political communication dynamics, offering implications for political campaigns, policy advocacy, and digital strategies.
Co-Authors Agustinus Rusdianto Berto, Agustinus Rusdianto Agustisnus Rusdianto Berto Anabel Yevina Mulyadi Wahyu Bertha Sri Eko Murtiningsih Buko Vinaring Christiano, Titus Daniel Susilo Dwi Prasetyo Evlyn Genki Fazrah Lillah Rizki Heryanda Gita Elmada, Maria Advenita Harris Salim Helga Liliani Cakra Dewi Juliadi, Rismi Ming Ho Muhammad Ardhanie Amrullah Nathanael Dewa Nuria Astagini, Nuria Putranto, Teguh Dwi Putri, Priscilla Perdana Rajab Ritonga Ratna Yustisia Purwaningtyas Restia Tities Asmawarini Reyandra Dio Boentoro Rustono - Stephanie Adita Susi Nurdinaningsih Syafruddin Ritonga Tanasyah, Yacub Teguh Dwi Putranto Wa Ode Wulan Ratnaningsih Wahyu, Anabel Yevina Mulyadi Wildan Hakim