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EFEK BUMERANG NEGATIF PESAN PERSUASIF KAMPANYE VAKSIN ‘’MEASLES-RUBELLA’’ OLEH KEMENTERIAN KESEHATAN REPUBLIK INDONESIA ANDHIKA KURNIAWAN PONTOH; FARRAH MARDIATI SOEHARNO; MUTIA ADIA RISIAD
JURNAL EKONOMI, SOSIAL & HUMANIORA Vol 1 No 07 (2020): INTELEKTIVA : Jurnal Ekonomi, Sosial dan Humaniora E-ISSN 2686-5661
Publisher : KULTURA DIGITAL MEDIA ( Research and Academic Publication Consulting )

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Abstract

Persuasive messages in public health campaigns are aimed at influencing public attitudes and behaviors on health consequences. The operational formula for creating persuasive messages is health vulnerability multiplied by severity, using a logic of losses/disadvantages in order to motivate the public to change their behavior for healthy living. This paper intends to analyze the persuasive message of the MR vaccine campaign and see the response that occurred in the community towards the campaign. This paper tries to examine the process of social judgment among the communities that results in a response of rejection and a boomerang effect on the campaign. This paper concludes that the negative boomerang effect on the MR Vaccine campaign carried out by the Indonesian Ministry of Health is largely due to the ego involvement of key figures or opinion leaders that influence the perceptions and behavior of the audience who receives and processes the message. Opinion leaders in this case are religious institutions such as MUI who published findings on MR vaccine substance. The boomerang effect that occurs is the contrast attitude and behavior of the campaign audience whose values/principles anchors hit oppose and far from the content of the MR Vaccine campaign message.
EFFECT OF MESSAGE IN HEALTH COMMUNICATION: THE CASE OF VACCINE CAMPAIGN 'MR' 'MINISTRY OF HEALTH REPUBLIC OF INDONESIA ANDHIKA KURNIAWAN PONTOH; FARRAH MARDIATI SOEHARNO; MUTIA ADIA RISIAD
INTERNATIONAL JOURNAL OF MULTI SCIENCE Vol. 1 No. 01 (2020): INTERNATIONAL JOURNAL OF MULTISCIENCE -APRIL EDITION
Publisher : CV KULTURA DIGITAL MEDIA

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Abstract

Public health campaign messages are intended to influence public attitudes and behavioral beliefs about health consequences. The operational formula for creating persuasive messages is health vulnerability multiplied by severity, using a loss framework to motivate the public to change behavior for healthy living. This paper intends to analyze the persuasive message of the MR vaccine campaign and see the response that occurred in the community to the health campaign. This paper attempts to examine the process of community social assessment that results in a response of rejection and a boomerang effect on campaign messages. This paper concludes that the negative boomerang effect on the MR Vaccine campaign carried out by the Indonesian Ministry of Health is largely due to the ego involvement of key figures or opinion leaders that influence the perceptions and behavior of the audience receiving the message. Opinion leaders in this case are religious institutions such as MUI which publishes findings on the content of MR vaccine. The boomerang effect that occurs is the contrasting attitudes and behaviors of the audience of campaign message recipients who have anchor positions / principles that are opposite and far from the contents of the MR Vaccine campaign message.
Application of The Elaboration Likelihood Models in The Political Campaign of Sudrajat-Syaikhu During The West Java Regional General Election in 2018 Andhika Kurniawan Pontoh; Farrah Mardiati Soeharno; Mutia Adia Risjad
Journal of Politics and Policy Volume 2 No.1 December 2019
Publisher : Journal of Politics and Policy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (49.171 KB) | DOI: 10.21776/ub.jppol.2019.002.01.4

Abstract

The Regional Election (PILKADA) of West Java in 2018 has seen significant change in the increasing electability of one of the governor and vice governor candidates Sudrajat-Ahmad Syaikhu ahead of the election day. Amid the estimation commissioned by various survey institutions, the final results of the vote count showed a significant jump in the vote collection of Sudrajat-Syaikhu. These significant jumps can be achieved because the candidate utilized campaign persuasion messages by emphasizing religious values, supporting for certain groups social and political causes and was benefited by the existing authorities both from the government and the party. Government programs that should be prioritized, were promoted on the shades of significant phenomenal issues to get voters’ attention. This article tries to explain the application of the Elaboration Likelihood Model to the Sudrajat-Syaikhu's campaign that succeeded in changing voter behavior in West Java. The Elaboration Likelihood Model asserts two main channels for conveying persuasion messages, the central route and the peripheral route. In the Elaboration Likelihood Model theory, persuasive messages will be received differently by the recipient. This is because recipients have differences in motivation and ability to comprehend the conveyed messages. Central persuasion messages can be seen in the form of messages containing strong logical and directed information, whereas peripheral persuasion messages comprise short-cut elements related to authority, commitment to the group, reciprocal relationships, scarcity and social proof. This paper will describe the application of the Elaboration Likelihood Model theory in the Sudrajat-Syaikhu campaign strategy which utilized and was benefited from the peripheral route using Islamic populist strategies, support for #2019GantiPresiden cause and 212 movement, and authorities from party, military and the ruling government. The utilization of this peripheral route is proven able to increase the number of votes in the end, which reflects the reality of prioritization of religious values above other aspects in West Java.Key words: Elaboration Likelihood Model, Voters Motivation, Pilgub Jabar 2018, Sudrajat-Syaikhu
Computational Propaganda in Hashtag Activism Andhika Kurniawan Pontoh
Jurnal Komunikasi Vol. 13 No. 2 (2021): Jurnal Komunikasi
Publisher : Fakultas Ilmu Komunikasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jk.v13i2.11086

Abstract

The hashtag (#) has an important role in gathering Internet users' support for opinion and value. Computational propaganda has an important role in hashtag activism. This study wants to examine the role of computational propaganda actors such as anonymous political accounts, fake accounts and bot in social media that is able to mobilize the public and also increase the impression of Twitter audiences. The trend of Twitter hashtag activism #BebaskanIBHRS and #NegaraDamaiTanpaFPI began with the arrest of the chairman of the Islamic Defenders Front (FPI) Habib Rizieq Shihab (HRS); the two trending hashtags massively influenced public opinion on Twitter on December 13-14 2020. This study uses a sample of 1000 tweets or conversations on each hashtags and uses Social Network Analysis (SNA) with the Netlytic tool which is able to provide quantitative values of communication networks, through the social network structure of #BebaskaniBHRS and #NegaraDamaiTanpaFPI. This study reveals how the network structure and what factors are carried out by anonymous political actors in carrying out computational propaganda. The results of this study reveal the hashtags activism #BebaskaniBHRS is much more capable of mobilizing the public and is able to generate greater impressions than #NegaraDamaiTanpaFPI. This is because #BebaskaniBHRS has a computational propaganda message in the form of a loaded language with a clear frame and the choice of words directly invites the Twitter public to get involved through a retweet another finding in this research shows computational propaganda movement in hashtag activism was carried out by large groups consisting of anonymous accounts and bot accounts on other side online media coverage about the trending of these hashtag's activism was also able to increasing public attention. Tagar (#) memiliki peran penting dalam mengumpulkan dukungan pengguna Internet terhadap suatu opini dan nilai. Komputasi propaganda memiliki peran penting dalam aktivisme tagar. Penelitian ini ingin mengkaji peran aktor komputasi propaganda seperti akun anonim politik, akun palsu dan bot di media sosial yang mampu memobilisasi publik dan juga meningkatkan kesan khalayak Twitter. Tren aktivisme tagar Twitter #BebaskanIBHRS dan #NegaraDamaiTanpaFPI dimulai dengan penangkapan ketua Front Pembela Islam (FPI) Habib Rizieq Shihab (HRS); kedua tagar yang sedang trending tersebut secara masif memengaruhi opini publik di Twitter pada 13-14 Desember 2020. Penelitian ini menggunakan sampel 1000 tweet atau percakapan pada masing-masing tagar serta menggunakan Social Network Analysis (SNA) dengan alat Netlytic yang mampu memberikan nilai kuantitatif jaringan komunikasi. Melalui struktur jejaring sosial #BebaskaniBHRS dan #NegaraDamaiTanpaFPI, kajian ini mengungkap seperti apa struktur jaringan komunikasi dan hal apa saja yang dilakukan oleh aktor politik anonim dalam melakukan komputasi propaganda. Hasil penelitian ini mengungkapkan bahwa aktivisme tagar #BebaskaniBHRS jauh lebih mampu memobilisasi publik dan mampu menghasilkan impresi yang lebih besar dibandingkan #NegaraDamaiTanpaFPI. Hal ini dikarenakan #BebaskaniBHRS memiliki pesan komputasi propaganda dalam bentuk bahasa yang sarat dengan bingkai yang jelas dan pilihan kata secara langsung mengajak publik Twitter untuk terlibat melalui retweet.Temuan lain dalam penelitian ini menunjukkan gerakan komputasi propaganda dalam aktivisme  tagar dilakukan oleh kelompok besar yang terdiri dari akun anonim dan akun bot di sisi lain liputan media daring tentang tren aktivisme tagar ini juga mampu meningkatkan atensi publik.