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All Journal Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Communicology: Jurnal Ilmu Komunikasi INTERACTION: Jurnal Pendidikan Bahasa Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH) Jurnal Spektrum Komunikasi Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Febriandy, Radians Krisna
Unknown Affiliation
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Politik Kejutan: Analisis Wacana Kritis Penggunaan Kata 'KAGET' oleh Presiden Jokowi dalam Komunikasi Politik 2014-2024 Febriandy, Radians Krisna
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3210

Abstract

This research focuses on President Joko Widodo's use of the word "KAGET" in political discourse during the period 2014 to 2024. The use of this word often appears in response to various unexpected events and has become an important part of building Jokowi's leadership image. The purpose of this study is to analyze how the word "KAGET" is used as a political communication strategy. The method used is Critical Discourse Analysis (CDA) based on Norman Fairclough's model, which includes text analysis, discursive practices, and social practices. Data were taken from various media that reported Jokowi's statements in different contexts. The results show that the word "KAGET" plays a role in building Jokowi's image as a leader who is adaptive, honest, and close to the people. However, in some cases, this word is also criticized as a sign of unpreparedness. In conclusion, Jokowi's use of the word "KAGET" strengthens emotional connections with the people, manages public expectations, and provides political flexibility in responding to crises.
Kebocoran Data PDNS Analisis Strategi Komunikasi Krisis Pemerintah Berdasarkan Image Repair Theory Febriandy, Radians Krisna; Wahyutama
Communicology: Jurnal Ilmu Komunikasi Vol. 12 No. 2 (2024): Communicology: Jurnal Ilmu Komunikasi, Volume 12 No. 2 Desember 2024
Publisher : Sarjana Terapan Prodi Humas dan Komunikasi Digital Fakultas Ilmu Sosial Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/COMM.033.09

Abstract

Kebocoran data di Pusat Data Nasional dan Statistik (PDNS) merupakan isu serius yang menimbulkan kekhawatiran publik terhadap keamanan informasi di Indonesia. Penelitian ini bertujuan untuk menganalisis strategi komunikasi pemerintah dalam menangani krisis kebocoran data menggunakan pendekatan Image Repair Theory (IRT). Penelitian ini menggunakan pendekatan kualitatif dengan metode analisis konten terhadap 37 video berita dari kanal YouTube KompasTV, yang mengidentifikasi dan mengkategorikan pernyataan pemerintah dalam 14 sub-strategi IRT. Hasil penelitian menunjukkan bahwa empat strategi yang paling dominan adalah Corrective Action, Defeasibility, Good Intentions, dan Bolstering. Corrective Action muncul sebagai strategi utama, mencerminkan komitmen pemerintah untuk   memperbaiki situasi. Sementara itu, Defeasibility digunakan untuk mengalihkan tanggung jawab atas insiden kebocoran kepada faktor eksternal. Good Intentions menekankan niat baik pemerintah dalam melindungi data publik, dan Bolstering memperkuat citra positif pemerintah dengan menyoroti keberhasilan sebelumnya. Temuan ini menunjukkan pentingnya penerapan strategi komunikasi yang proaktif dan transparan dalam membangun kepercayaan publik selama krisis. Penelitian ini memberikan wawasan yang berharga bagi praktik komunikasi krisis di sektor publik dan membuka peluang untuk penelitian lebih lanjut mengenai pengelolaan komunikasi pemerintah di masa depan.
The Empty Box Phenomenon in the 2024 Simultaneous Regional Elections: Democracy Challenge or People's Choice? Febriandy, Radians Krisna; Rini Sudarmanti
Jurnal Spektrum Komunikasi Vol 12 No 4 (2024): Jurnal Spektrum Komunikasi : December 2024
Publisher : LPPM Stikosa - AWS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37826/spektrum.v12i4.813

Abstract

The empty box phenomenon in the 2024 simultaneous regional elections is a representation of public dissatisfaction with the quality of candidates and political processes that characterize the local area. This study aims to explore the subjective experiences of voters who will vote for an empty box and the meaning behind their choice. This research uses a qualitative approach with phenomenological methods to find out the perceptions, motivations, and expectations of voters in areas with a single candidate. Interviews were conducted online with eleven (11) participants selected by purposive sampling with varied age, education, and economic backgrounds using Google Form application with ten (10) structured questions. The results of the study explain the main themes that emerged from the results of thematic analysis include distrust in the quality of candidates, blank votes as a form of protest against the political system, hope for fairer and more transparent elections, and finally social influence in making choices. The findings therefore suggest that this was a kind of protest, not only against one of the candidates, but also an expression of dissatisfaction with the dominance of the local ruling elite. Voters hope that this phenomenon can encourage changes to a more representative electoral system in the future.
The Digital Political Revolution: The Impact of Artificial Intelligence (AI) Based Political Campaigns on Voter Perceptions and Decisions in Generation Z In Indonesia Febriandy, Radians Krisna; Revolusi, Prabu
INTERACTION: Jurnal Pendidikan Bahasa Vol 11 No 2 (2024): INTERACTION: Jurnal Pendidikan Bahasa
Publisher : Universitas Pendidikan Muhammadiyah (UNIMUDA) Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpendidikanbahasa.v11i2.7113

Abstract

Rapid technological advances are transforming artificial intelligence (AI) into a very powerful tool in political campaigns, almost all digital platforms make it possible to personalize content and connect directly to voters. The purpose of this study is to explain the influence of AI-based political campaigns on the perceptions and decisions of Generation Z voters in Indonesia. This research uses a quantitative approach with a survey method to 395 respondents aged 17-29 years, active in various social media and participating in the 2024 Presidential Election. The results of the study explain that the effect of artificial intelligence (AI)-based political campaigns on perceptions is 91.5% and voter decisions is 96.7%, this explains that artificial intelligence (AI)-based political campaigns have a very significant influence on the perceptions and decisions of Generation Z voters in Indonesia. The practical implications of AI-based political campaigns include being able to personalize campaigns more effectively, optimizing campaign resources, managing candidate images, increasing voter interaction, and monitoring and regulating ethics.
Humor, Symbols, and Power: Prabowo-Gibran Political Memes on Social Media in the 2024 Presidential Election Febriandy, Radians Krisna; Habibah, Tiara Maulinda; Hutapea, Edison Bonartua
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol. 9 No. 2 (2024): December 2024 - 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.v9i2.1133

Abstract

This research explores the role of political memes in building the image and influencing public perception of the candidate pair Prabowo Subianto and Gibran Rakabuming Raka during the 2024 presidential election campaign. Using the symbolic interaction theory approach and qualitative content analysis, this study analyzed the visual and verbal symbols in memes circulating on social media such as TikTok, Twitter (X), and Instagram. The results show that political memes not only serve as a means of entertainment, but also become an effective communication tool in conveying complex political messages in a way that is easily accepted by the audience. Memes depicting Prabowo as a strong and decisive leader and Gibran as a young innovator create a narrative that reinforces their image as a representation of a blend of experience and innovation. In addition, memes also play a role in increasing political participation among young voters through humor and emotional engagement. This research concludes that political memes play an important role in political contestation in the digital age, facilitating social interaction and shaping political narratives that have a significant impact on public perception and participation.
Human-AI Educational Collaboration: Facing Learning Challenges in the Digital Age Revolusi, Prabu; Febriandy, Radians Krisna
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 8 No. 2 (2025): January - June Volume
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v8i2.3229

Abstract

Digital transformation in education has driven the integration of artificial intelligence (AI) as a key element in personalising learning, managing educational institutions, and supporting pedagogical decision-making processes. However, the application of AI also raises ethical challenges, access gaps, and fundamental changes in the role of teachers. This research aims to identify and classify the primary dimensions of human-AI collaboration in education through a qualitative approach, utilising a systematic literature review of 50 scientific articles published over the last five years. The articles were selected based on their thematic relevance from the Google Scholar and Scopus databases and analysed using NVivo software to cluster the dominant codes in the literature. The analysis resulted in four main components: Adaptive Learning with Artificial Intelligence (ALEAI), Artificial Intelligence in Education (AIED), Ethical Challenges in AI Education (EAIED), and Teacher Roles in AI-assisted learning (TRAIL). The findings indicate that AI has significant potential to enhance the efficiency and inclusivity of learning but also necessitates robust regulations in data protection, algorithm bias mitigation, and teacher training. This research contributes to the formulation of a conceptual framework for developing fair, ethical, and sustainable AI-based education policies.
Developing AI Regulations in Indonesia: Policy Recommendations Based on Comparative Policy Analysis from the European Union, the United States, and Singapore Revolusi, Prabu; Febriandy, Radians Krisna
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 2 (2025): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i2.1380

Abstract

Artificial intelligence (AI) is increasingly becoming the main driver of digital transformation in various sectors such as education, health, and finance. However, this development raises regulatory challenges, particularly regarding privacy protection, algorithm transparency, and AI usage ethics. Indonesia, with a high level of technology adoption but without a specific legal framework, faces the risk of misuse of this technology. This study uses a literature review and a comparative policy analysis approach to examine AI regulations in the European Union, the United States, and Singapore. The results of the analysis show that the European Union emphasizes data protection and strict supervision, the United States promotes flexibility for innovation, while Singapore offers a balance between social responsibility and technological progress. Based on these findings, this article recommends developing an AI regulatory framework in Indonesia by combining the principles of a risk-based approach, transparency, and algorithmic auditing, as well as the establishment of an independent AI regulatory agency. This regulation is expected to encourage innovation that is safe, ethical, and adaptive to technological dynamics.
Co-Authors Habibah, Tiara Maulinda Hutapea, Edison Bonartua Revolusi, Prabu Rini Sudarmanti Wahyutama