Analisis Konten Otomatis: Dinamika Tren Berita Kendaraan Listrik di Media Daring Indonesia Selama Periode Insentif Pajak 2024

Bilhaq Syafri; Pandan Yudhapramesti; Gema Bakry

doi:10.53697/jkomitek.v5i1.2399

Authors

Bilhaq Sakti Syafri Universitas Padjadjaran
Pandan Yudhapramesti Universitas Padjadjaran
Gema Nusantara Bakry Universitas Padjadjaran

DOI:

https://doi.org/10.53697/jkomitek.v5i1.2399

Keywords:

Kendaraan Listrik, Media Daring, Analisis Konten Otomatis, Bingkai Demarkasi, Bingkai Devaluasi, Insentif Pajak, Machine Learning, BERT Multilingual

Abstract

Penelitian ini bertujuan untuk menganalisis dinamika tren dan bingkai pemberitaan kendaraan listrik di media daring Indonesia selama periode insentif pajak tahun 2024. Metode yang digunakan dalam penelitian ini adalah analisis konten otomatis berbasis machine learning dengan pendekatan supervised BERT Multilingual untuk mengklasifikasikan bingkai pemberitaan menjadi demarkasi dan devaluasi. Model dievaluasi menggunakan metrik F1-score dan akurasi untuk memastikan validitas dan reliabilitasnya. Hasil penelitian menunjukkan bahwa model memiliki performa klasifikasi yang tinggi dan konsisten. Secara substansi, ditemukan bahwa intensitas pemberitaan kendaraan listrik meningkat tajam pada Februari hingga Mei 2024, seiring dengan implementasi insentif pajak dan pameran otomotif nasional. Media daring seperti Viva dan Suara dominan menggunakan bingkai demarkasi yang menekankan manfaat dan urgensi transisi teknologi ramah lingkungan. Temuan ini menegaskan peran aktif media dalam membentuk persepsi publik dan mendukung adopsi kendaraan listrik melalui strategi framing yang positif.

References

Alzani, M. R., Syarifudin, A., & Trisiah, A. (2024). Analisis Konten pada Pemberitaan Mengenai Mobil Listrik di Channel Youtube CNBC Indonesia. Indonesian Journal of Applied Technology, 1(3), 12. https://doi.org/10.47134/ijat.v1i3.3142

Blei, D., Ng, A., & Jordan, M. (2003). Latent Dirichlet Allocation. https://dl.acm.org/doi/10.5555/944919.944937

Bohn, S., & Rogge, J. C. (2022). The framing of green innovations—a comparative topic modeling study on the public frames of the electric vehicle in Germany and UK. https://doi.org/10.1016/j.jclepro.2022.132499

Burscher, B., Vliegenthart, R., & De Vreese, C. H. (2015). Using Supervised Machine Learning to Code Policy Issues: Can Classifiers Generalize across Contexts? The ANNALS of the American Academy of Political and Social Science, 659(1), 122–131. https://doi.org/10.1177/0002716215569441

Chong, D., & Druckman, J. N. (2007). Framing theory. In Annual Review of Political Science (Vol. 10, pp. 103–126). https://doi.org/10.1146/annurev.polisci.10.072805.103054

Clawson, R. A., Lee, A., & Tyler, W. M. (2023). Media Framing Of Electric Vehicles In U.S. Newspapers. https://aspire.usu.edu/

Druckman, J. N. (2001). The Implications Of Framing Effects For Citizen Competence. In Political Behavior (Vol. 23, Issue 3). https://doi.org/10.1023/A:1015006907312

Entman, R. M. (1993). Framing: Toward Clarification of a Fractured Paradigm. Journal of Communication, 43(4), 51–58. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x

Gamson, W. A., Modigliani, A., Hoynes, W., Katz, E., Kurtz, S., Ryan, C., Schuman, H., & Stuart, D. (1989). Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach’L. In AJS (Vol. 95, Issue 1). https://doi.org/abs/10.1086/229213

Kananovich, V. (2018). Framing the Taxation-Democratization Link: An Automated Content Analysis of Cross-National Newspaper Data. International Journal of Press/Politics, 23(2), 247–267. https://doi.org/10.1177/1940161218771893

Keller, T. R., Hase, V., Thaker, J., Mahl, D., & Schäfer, M. S. (2020). News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics. Environmental Communication, 14(2), 219–235. https://doi.org/10.1080/17524032.2019.1643383

Kenix, L.-J., & Bolanos, J. (2024). A (non) agenda-setting study The framing of electric vehicles in the news of Aotearoa New Zealand and its (non) role in their use. In PACIFIC JOURNALISM REVIEW (Vol. 30, Issue 1). https://doi.org/doi/abs/10.3316/informit.T2024071700002001772010077

Madrid-Morales, D. (2020). Using Computational Text Analysis Tools to Study African Online News Content. African Journalism Studies, 41(4), 68–82. https://doi.org/10.1080/23743670.2020.1820885

Matthes, J., & Kohring, M. (2008). The Content Analysis of Media Frames: Toward Improving Reliability and Validity. Journal of Communication, 58(2), 258–279. https://doi.org/10.1111/j.1460-2466.2008.00384.x

Newman, N., Fletcher, R., Robertson, C. T., Ross Arguedas, A., & Nielsen, R. K. (2024). Reuters Institute digital news report 2024. Reuters Institute for the Study of Journalism. https://doi.org/10.60625/RISJ-VY6N-4V57

Nguyen, D., & Hekman, E. (2024). The news framing of artificial intelligence: a critical exploration of how media discourses make sense of automation. AI and Society, 39(2), 437–451. https://doi.org/10.1007/s00146-022-01511-1

Octavianto, A. W., Priyonggo, A., & Setianto, Y. P. (2024). Framing The Future: Exploring AI Narratives in Indonesian Online Media Using Topic Modelling. Jurnal Komunikasi Indonesia, 13(2). https://doi.org/10.7454/jkmi.v13i2.1245

Pan, Z., & Kosicki, G. M. (1993). Framing analysis: An approach to news discourse. Political Communication, 10(1), 55–75. https://doi.org/10.1080/10584609.1993.9962963

Permana, R., Yuliati, E., & Wulandari, P. (2023). Analisis faktor-faktor yang mempengaruhi konsumen terhadap purchase intention kendaraan listrik di indonesia. INOBIS: Jurnal Inovasi Bisnis Dan Manajemen Indonesia, 6(2), 217-232. https://doi.org/10.31842/jurnalinobis.v6i2.270

Supriyanto, E., Sentanuhady, J., Hasan, W. H., Nugraha, A. D., & Muflikhun, M. A. (2022). Policy and Strategies of Tariff Incentives Related to Renewable Energy: Comparison between Indonesia and Other Developing and Developed Countries. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013442

Susilo, D. & Harliantara, (2023). Framing Analysis of Reporting on Electric Transportation Subsidies in Indonesia during 2023 by Tirto ID. Jurnal Indonesia Sosial Sains, 4(10). https://doi.org/10.59141/jiss.v4i10.891