Article Per Year (5 Year)
p-Index From 2021 - 2026
1.554
P-Index
This Author published in this journals
All Journal Jurnal Komunikasi Pembangunan ProTVF Jurnal Orasi Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Wacana: Jurnal Ilmiah Ilmu Komunikasi Bricolage : Jurnal Magister Ilmu Komunikasi BroadComm Journal of Digital Media Communication
Rizky Wulan Ramadhani
Universitas Gunadarma
Arts Humanities Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 10 Documents
Search

 1 
Social Network Analysis: #BlackLivesMatter Distribution at Actor Level and System Level Edy Prihantoro; Rizky Wulan Ramadhani
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol 6, No 2 (2021): December 2021 - 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.v6i2.577

Abstract

#BlackLivesMatter accompanies several cases of discrimination against the black community. The hashtag was spread by actors who have great influences on Twitter users. The actors create communication network which connected to each other to form opinions about the Black Lives Matter movement. Researchers conducted a study to determine the distribution of #BlackLivesMatter at the actor level for the period 20-27 April 2021 in Twitter. The study used quantitative methods and a positivistic paradigm with a Social Network Analysis (SNA) approach. The results show that the actor with the highest degree of centrality is @jeanmessiha with 238 interactions, the actor with the highest betweenness centrality is @helloagain0611 with a value of 0.000049, the actor with the highest eigenvector centrality is @jeanmessiha with a value of 1 and there are 1,416 actors who have closeness centrality. # BlackLivesMatter has a low diameter value so that it spreads quickly but not too widely, not much reciprocity occurs, not concentrated in one dominant cluster but spread widely in several clusters. The actors play a role in spreading diverse opinions regarding Black Lives Matter, thus creating free discussion in several clusters on Twitter. Opinion widely spread on Twitter creates public opinion regarding the Black Lives Matter movement.
Strategi Komunikasi Pembangunan Pemerintah Kabupaten Bojonegoro dalam Menerapkan Nawacita dan Tujuan Pembangunan Berkelanjutan Rizky Wulan Ramadhani; Edy - Prihantoro
Jurnal Komunikasi Pembangunan Vol. 18 No. 02 (2020): Juli 2020
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (230.949 KB) | DOI: 10.46937/18202028913

Abstract

Tujuan Pembangunan Berkelanjutan (TPB) atau Sustainable Development Goals (SDGs) adalah agenda yang dideklarasikan dalam majelis umum Perserikatan Bangsa-Bangsa (UN) pada tahun 2015 dan harus diraih bersama pada 2030. Nawacita adalah sembilan program yang diajukan Jokowi-JK selama periode 2014-2019. Penelitian ini bertujuan untuk mengetahui strategi-strategi komunikasi pembangunan yang dipakai Pemerintah Kabupaten Bojonegoro dalam mengkomunikasikan Nawacita dan SDGs. Penelitian ini menggunakan metodologi kualitatif dengan metode wawancara dan dokumentasi. Key informant dalam penelitian ini adalah Kang Yoto, Bupati Bojonegoro periode 2008-2018 dan dokumentasi dari berbagai sumber. Hasil penelitian ini adalah Pemkab Bojonegoro menggunakan strategi yang didasarkan pada media yang dipakai, strategi desain instruksional, strategi pemasaran, dan strategi partisipatori. Strategi yang dipakai efektif untuk mengajak masyarakat Bojonegoro sekaligus memberi informasi bagi publik. Pemerintah daerah yang lain bisa menerapkan strategi yang sama dengan mempertimbangakan kondisi masyarakatnya.
Tourism Communication in The Development of Sustainable Intelligent Tourism Village in East Lombok As A Supporting Area for Mount Rinjani Global Geopark and Mandalika Edy Prihantoro; Rio Setia Monata; Yusuf Maulana; Atit Pertiwi; Suryarini Widodo; Rizky Wulan Ramadhani
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.v7i2.730

Abstract

The development of Indonesian tourism after the Covid-19 pandemic began to rise again. Various efforts have been made by the government and tourism actors to be able to revive  the tourism sector. The purpose of this study is  to analyze tourism communication in the development of a Sustainable Smart Tourism Village in East Lombok as a supporting area for  Mount Rinjani Global Geopark and the Mandalika Special Economic Zone. This study uses a qualitative descriptive method by conducting interviews and direct observations of Loyok Village. The data collected were analyzed using data analysis techniques from Miles Huberman. The results of the study indicate that the development of a sustainable smart tourism village in East Lombok requires collaboration from various parties such as the government, tourism actors, communities, and researchers all at once. The Gunadarma University Matching Fund team is here to help implement five information and communication technologies (ICT) in tourist villages such as making smart homestays, making virtual reality videos, and QR Codes, making new designs for bamboo crafts, and tourist village websites. The application of this technology is also part of communication and is expected to support the development of Loyok Tourism Village in East Lombok Regency. The implementation of ICT in East Lombok Regency is also expected to serve as a pilot project in the development of smart homestays in Indonesia.
Diversity in the film industry: A social network analysis of #cannes2022 on Twitter Rizky Wulan Ramadhani; Edy Prihantoro; Sabrina Rahma Utami; Trini Saptariani; Anacostia Kowanda
ProTVF Vol 7, No 1 (2023): March 2023
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/ptvf.v7i1.43106

Abstract

Background: The 2022 Cannes Film Festival was held from May 17 – 28, 2022, in Cannes, France. The 2022 Cannes Film Festival succeeded in attracting public attention, shown through tweets using #Cannes2022 uploaded in various languages, which show diversity. Purpose: This study aims to determine the distribution of the #Cannes2022 data at the actor level and the diversity of languages used in the #Cannes2022. Methods: The method of this research is a mixed method by combining quantitative and qualitative methods. Quantitative methods were used to obtain 2,500 tweets using the Netlytic application. Qualitative methods were used to analyze the language used in those tweets. Results: The results of this study indicate that @festival_cannes, @21metgala, @iuteamstarcandy, and @filmupdates are famous and important actors because they always provide updates related to Cannes 2022. Those actors initiate the #Cannes2022 communication network and become reference material. In the #Cannes2022 communication network, there are 24 languages used, including English, Thai, Japanese, French, and Spanish. English is dominant, with a percentage of 51.96%, followed by French, with a percentage of 31.48%. English and French are dominant because popular actors use them in disseminating information about Cannes 2022. Other languages are not dominant because actors with few followers only upload them. The language used in the #Cannes2022 communication network is already quite diverse but still dominated by English. Implications: Popular actors should use other languages to increase diversity at the Cannes Film Festival.
KOMUNIKASI INTERPERSONAL DALAM “FASE BULAN MADU” PASANGAN USIA MUDA Nesya Anandita; Rizky Wulan Ramadhani; John R.S.P.K.M. Isa
BroadComm Vol. 5 No. 1 (2023)
Publisher : AKMRTV Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.459 KB) | DOI: 10.53856/bcomm.v5i1.252

Abstract

Pasangan usia muda harus memiliki kemampuan komunikasi interpersonal yang baik untuk meminimalisir dampak negatif pernikahan usia muda. Tujuan penelitian ini adalah untuk mengetahui komunikasi interpersonal dalam “fase bulan madu” pasangan usia muda. Penelitian ini menggunakan metode kualitatif dengan pendekatan fenomologi menggunakan Teori Penetrasi Sosial dan Model Pengembangan Hubungan. Metodologi penelitian ini adalah kualitatif dengan melakukan wawancara kepada tiga pasangan usia muda berdasrkan teknik purposive sampling. Hasil penelitian menunjukkan bahwa pasangan usia muda melewati tiga tahap dalam Teori Penetrasi Sosial yaitu tahap kedua (mengetahui hobi dan kesenangan masing-masing), ketiga (membagi informasi dan pengalaman pribadi) dan keempat (membagi nilai, konsep diri, atau perasaan emosi terdalam). Tahap pertama, lapisan kulit terluar, dilewati pasangan usia muda ketika masih berpacaran. Pasangan usia muda melewati dua tahap Model Hubungan Pengembangan sebelum fase bulan madu yaitu: 1. Contact, tahap perkenalan dan 2. Involvement, tahap pembuktian atau tahap membuka diri. Sedangkan pada fase bulan madu, pasangan usia muda melewati tiga tahap Model Hubungan Pengembangan yaitu: 1. Intimacy, tahap seseorang lebih jujur dan terbuka; 4. Deteriation, tahap mendiskusikan kekurangan yang dirasakan; dan 5. Repair, tahap memperbaiki hubungan. Pasangan usia muda diharapkan mengasah kemampuan komunikasi interpersonal sebelum menikah agar dapat melewati fase bulan madu dan fase-fase lainnya selama pernikahan.
Digital Movement of Opinion #BLACKLIVESMATTER in Creating Public Opinion About Black Lives Matter Rizky Wulan Ramadhani; Edy Prihantoro
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol 8, No 1 (2023): June 2023 - 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.v8i1.726

Abstract

#BlackLivesMatter is still used by netizens to express opinions about the Black Lives Matter movement which is still developing today. In April 2021, the court ruled for Derek Chauvin, the police officer who shot George Floyd. In addition, there are still many shootings of black citizens in the United States and various other countries. This study aims to determine the spread of #BlackLivesMastter and public opinion on Twitter during 20 – 27 April 2021 regarding Black Lives Matter. This research uses a combination of quantitative and qualitative methods. The quantitative method is used to see the distribution of 2,500 sample tweets using Netlytic.org and Gephi. The qualitative method is conducted to analyze public opinion about Black Lives Matter. The theory used is Computer-Mediated Communication, Public Space, and Critical Discourse Analysis. The results showed that opinions were dominated by positive opinions with 71.76%, negative opinions with 13.08% and irrelevant opinions with 15.16%. The positive opinions are dominant because they have succeeded in creating empathy, anger, and criticism, have political interests, and are voiced by political elite accounts, media, NGOs, and celebrities. Negative opinions are voiced by two main political elites and Twitter users who are not well known so they are considered personal opinions. Irrelevant opinions are voiced by Twitter users in more private spaces and are used to attract public attention.
Gerakan Opini Digital pada #TolakUUCiptaKerja di Twitter dengan Pendekatan Social Network Analysis Rizky Wulan Ramadhani; Fajar Rizali Rakhman; Yohanes Ari Kuncoroyakti; Sabrina Rahma Utami; Cholidah Astri Pertiwi
WACANA: Jurnal Ilmiah Ilmu Komunikasi Volume 22, No. 2 December 2023
Publisher : Universitas Prof. Dr. Moestopo (Beragama)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32509/wacana.v22i2.2609

Abstract

The ratification of the UU Cipta Kerja led to objections that were echoed through #TolakUUCiptaKerja whose opinions were widely spread on Twitter. The purpose of this study was to determine the digital opinion movement #TolakUUCiptaKerja on Twitter. The research method used was a mix method by combining quantitative communication network statistics with a sample of 1000 tweet data, the number of actors 355 and 344 relations using netlytic and gephi. Qualitative to analyze text with a digital movement of opinion that results in the dissemination of opinions on the structure of the communication network. The results showed that the #TolakUUCiptaKerja movement was able to create mobility in the opinion of Twitter users, namely 752 or 75.2% positive reactions, 7 or 7% negative reactions and 241 or 24.1% irrelevant in communication networks. The positive reaction was dominated by netizen support for rejecting the legalization of the UU Cipta Kerja. The spread of this hashtag was assisted by popular actors, namely @ramlirizal and @ sandalista1789 as important actors, and 205 out of 355 actors were important actors
ANALYSIS OF "MIXUE" COMMUNICATION NETWORK AS ELECTRONIC WORD OF MOUTH (E-WOM) USING SOCIAL NETWORK ANALYSIS Melati Andriani; Rizky Wulan Ramadhani; Sabrina Rahma Utami
Journal of Digital Media Communication Vol 2, No 1 (2023)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/dimedcom.2023.v2i1.8258

Abstract

Netizens upload the keyword "Mixue" on Twitter, which can become an electronic word of mouth (E-WoM). E-WoM is one of the dominant factors influencing purchase demand for a product. Using the keyword "Mixue" to become a trending topic creates a communication network to disseminate information related or not to Mixue. This study aimed to determine the distribution of the "Mixue" network as a medium for electronic word of mouth using Social Network Analysis (SNA). The theory used is computer-mediated communication. The research method is quantitative with the SNA approach. Researchers crawled data on 10,000 tweets on December 27, 2022, when the keyword "Mixue" became a trending topic. The researcher used the application. The results showed that the "Mixue" communication network involved 7,702 actors and 8,391 conversations. @handokotjung became an important actor after posting a humorous tweet about Mixue's expansion in Indonesia. The tweet achieved 3.3 million views, 2,277 replies, 13.6K retweets, 2,682 excerpts retweeted, and 67.5K likes. The other actors also got into the conversation regarding Mixue. The perpetrators communicate with each other by replying, retweeting, retweeting quotes, or uploading their tweets, which can be electronic word-of-mouth (E-WoM) media accessed by anyone without exception. Mixue can use social media and impoertant actors to increase people's buying interest in Mixue
ANALISIS BIBLIOMETRIK: PERKEMBANGAN SOCIAL NETWORK ANALYSIS DALAM RISET KOMUNIKASI POLITIK PADA MEDIA SOSIAL DI INDONESIA Ramadhani, Rizky Wulan; Pratiwi, Desna Aryana
ORASI: Jurnal Dakwah dan Komunikasi Vol 15, No 1 (2024): Juli 2024
Publisher : IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/orasi.v15i1.16802

Abstract

Riset komunikasi politik di Indonesia dimulai pada tahun 2003 dengan melihat opini publik, penerimaan publik pada politisi, isi dan tema kampanye, program politik, serta media kampanye yang digunakan. Social Network Analysis (SNA) merupakan metode untuk memvisualisasikan jaringan komunikasi pengguna media sosial serta langkah untuk mengidentifikasi interaksi. Metode riset komunikasi politik dapat dikembangkan dengan SNA untuk melihat pergerakan isu politik dalam jaringan komunikasi online maupun offline. Penelitian ini bertujuan untuk menganalisis tren serta perkembangan riset komunikasi politik dengan menggunakan SNA. Penelitian ini menggunakan metode analisis bibliometrik komputasi menggunakan software Publish or Perish untuk mengumpulkan data publikasi dari Google Scholar dengan kata kunci “Social Network Analysis” AND “Komunikasi Politik” OR “Media Sosial” periode 2020 - 2023. Aplikasi VOSViewer juga digunakan untuk memberikan visualisasi hasil analisis dari database yang diperoleh. Hasil penelitian ini menunjukkan bahwa jumlah publikasi terkait topik tersebut sebanyak 495 artikel, dengan jumlah publikasi terbanyak pada tahun 2023 dan publikasi terendah pada tahun 2020. Hasil visualisasi jaringan dijelaskan menjadi tiga bagian yaitu network visualization, overlay visualization dan density visualization. Hal ini menjadi informasi penting bagi para peneliti, untuk dapat melihat bagaimana tren dan juga peluang penelitian terkait topik tersebut dikemudian hari.
Political polarization through political memes for new voters in the 2024 presidential election Widyaningsih, Winda; Ramadhani, Rizky Wulan; Prihantoro, Edy
Bricolage : Jurnal Magister Ilmu Komunikasi Vol 11, No 1 (2025): Accredited by Kemenristekdikti RI SK No.152/E/KPT/2023
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/bricolage.v11i1.6228

Abstract

New voters aged 17 to 24, categorized as Generation Z, are highly proficient in digital technology and actively use social media as a primary source of political information, particularly through political memes. Social media fosters an echo chamber effect by continuously presenting similar political content, reinforcing existing beliefs and contributing to political polarization. This study examines the phenomenon of political polarization among new voters in the 2024 presidential election through political memes, utilizing the Elaboration Likelihood Model (ELM) and the echo chamber concept as theoretical frameworks. A qualitative approach was employed, incorporating in-depth interviews with new voters who rely on social media for political information, content analysis of political memes on social media platforms, and a literature review. The findings indicate that new voters predominantly engage with political information through the central route of processing, relying on news portals, social media, and interpersonal discussions. However, social media algorithms reinforce an echo chamber effect by curating content based on users' previous interactions, leading to the polarization of supporters of different candidates (01, 02, and 03). This polarization manifests in heated debates and conflicts, particularly in the comment sections of social media posts featuring political memes. The subjective interpretation of memes—often infused with humor, satire, or sarcasm—exacerbates tensions, as they are perceived as either excessively supportive of or hostile toward particular candidates, further intensifying political divisions.
Co-Authors Anacostia Kowanda Atit Pertiwi Cholidah Astri Pertiwi Edy Prihantoro Fajar Rizali Rakhman John R.S.P.K.M. Isa Melati Andriani Nesya Anandita Pratiwi, Desna Aryana Rio Setia Monata Sabrina Rahma Utami Sabrina Rahma Utami Sabrina Rahma Utami Suryarini Widodo Trini Saptariani Widyaningsih, Winda Yohanes Ari Kuncoroyakti Yusuf Maulana