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Sentimen Media melalui Social Network Analysis pada Pemberitaan Pembatasan Barang Impor di Kanal YouTube "Harian Kompas"

Authors

  • Annissa Widya Davita Universitas Multimedia Nusantara
  • Sari Monik Agustin Universitas Multimedia Nusantara
  • Nuria Astagini Universitas Multimedia Nusantara

DOI:

https://doi.org/10.29313/jrjmd.v4i1.3944

Keywords:

Social Network Analysis, Analisis Sentimen, Sentimen Media

Abstract

Abstrak. Sejak awal tahun 2024, peraturan Bea Cukai mengalami perubahan signifikan. Oleh karena itu, penegakan hukum yang kuat dan efektif perlu dilakukan untuk memastikan kepatuhan terhadap peraturan Bea Cukai dan melindungi kepentingan ekonomi nasional Fenomena jasa titip vs Bea Cukai menimbulkan kontoversi masyarakat. Dilihat dari pemberitaan di kanal YouTube milik Harian Kompas dengan judul berita “Pemusnahan Milk Bun Thailand, Jastip, dan pembatasan Barang Bawaan Luar Negeri”, studi ini ingin memahami pendapat warganet terkait dengan pandangan terhadap ke bijakan baru yang diterapkan Bea Cukai terkait pembatasan barang bawaan impor. Fenomena ini sangat berkaitan erat dengan analisis sentimen, sehingga peneliti akan menggunakan lima tahapan analisis sentimen, diantaranya crawling, pre-processing, pembobotan kata, pembentukan model dan klasifikasi sentimen pada kolom komentar kanal Youtube Harian Kompas dengan judul “Pemusnahan Milk Bun Thailand, Jastip, dan pembatasan Barang Bawaan Luar Negeri”. Selain itu, studi ini akan menggunakan konsep sentimen media untuk melihat bagaimana sentimen emosi dapat membangun opini publik terhadap suatu berita. Hasil dari studi ini adalah, adanya sentimen emosi yang terbangun dan didominasi oleh sentiment netral sebesar 40%. Dilihat lebih dalam dari kacamata sentimen media, mencerminkan adanya perasaan ketidakpuasan atau protes terhadap tindakan Bea Cukai, yang dapat memicu reaksi emosional dari para pembaca atau penonton. Dari sentimen media yang diperoleh, dapat dikatakan masyarakat cukup netral dalam menanggapi fenomena ini.

Abstract. Since the beginning of 2024, significant changes have been made to customs regulations. Therefore, strong and effective law enforcement is necessary to ensure compliance with customs regulations and protect the national economic interests. The phenomenon of delivery services versus customs regulations has sparked public controversy. Based on the news coverage on Harian Kompas's YouTube channel titled "Destruction of Thailand Milk Buns, Delivery Services, and Restrictions on Overseas Goods," this study aims to understand netizens' opinions regarding the new customs policies related to restrictions on imported goods. This phenomenon is closely related to sentiment analysis, so the researcher will use five stages of sentiment analysis, including crawling, pre-processing, word weighting, model formation, and sentiment classification on the comment section of the Harian Kompas YouTube channel. Additionally, this study will use the concept of media sentiment. The results of this study show that emotional sentiment is present and dominated by neutral sentiment at 40%. Reflects a sense of dissatisfaction or protest against the actions of customs, which can trigger emotional reactions from readers or viewers. Based on the obtained media sentiment, it can be said that the public is quite neutral in responding to this phenomenon.

References

Ajeng Nurhasanah, & Kiki Zakiah. (2023). Pengaruh Penggunaan Media Sosial TikTok Vina Muliana terhadap Pemenuhan Kebutuhan Informasi Followers. Jurnal Riset Jurnalistik Dan Media Digital, 99–104. https://doi.org/10.29313/jrjmd.v3i2.2700

Aprilianti, M. A. (2024). 1 Ton Milk Bun After You Asal Thailand Dimusnahkan di Bandara Soetta. IDN Times. https://banten.idntimes.com/news/indonesia/maya-aulia-aprilianti-1/1-ton-milk-bun-after-you-asal-thailand-dimusnahkan-di-bandara-soetta?page=all

Barbalet, J. M. (1998). Emotion, Social Theory, and Social Structure. Emotion, Social Theory, and Social Structure. https://doi.org/10.1017/cbo9780511488740

Birjali, M., Kasri, M., & Beni-Hssane, A. (2021). A comprehensive survey on sentiment analysis: Approaches, challenges and trends. Knowledge-Based Systems, 226, 107134. https://doi.org/10.1016/j.knosys.2021.107134

Bratawisnu, M., & Alamsyah, A. (2019). SOCIAL NETWORK ANALYSIS UNTUK ANALISA INTERAKSI USER DI MEDIA SOSIAL MENGENAI BISNIS E-COMMERCE. SOSIOHUMANITAS, 21(1 SE-Articles). https://doi.org/10.36555/sosiohumanitas.v21i1.1000

Gunawan, B., Pratiwi, H. S., & Pratama, E. E. (2018). Sistem Analisis Sentimen pada Ulasan Produk Menggunakan Metode Naive Bayes. Jurnal Edukasi Dan Penelitian Informatika (JEPIN), 4(2), 113. https://doi.org/10.26418/jp.v4i2.27526

Hadiwinata, L. N., Murtiningsih, B. S. E., & Berto, A. R. (2023). Analisis Teks Dan Jaringan Promosi Media Sosial Youtube Mobil Listrik Ioniq 5 Menggunakan Metode Sna. Perspektif Komunikasi: Jurnal Ilmu Komunikasi Politik Dan Komunikasi Bisnis, 7(1), 1. https://doi.org/10.24853/pk.7.1.1-18

Herwindo, J., Murtiningsih, B. S. E., & Juliadi, R. (2023). Identification of Netizen Communication regarding the Issue of the National Capital Relocation Plan # IKN Nusantara on Twitter. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 8(1), 113–127. https://doi.org/10.25008/jkiski.v8i1.733

Huh, C. U., & Park, H. W. (2024). Setting the Public Sentiment: Examining the Relationship between Social Media and News Sentiments. Systems, 12(3). https://doi.org/10.3390/systems12030105

Isa. (2024). Desakan Agar Bea Cukai Berbenah Buntut Kasus Viral Bea Masuk. DetikNews. https://news.detik.com/berita/d-7315093/desakan-agar-bea-cukai-berbenah-buntut-kasus-viral-bea-masuk?single=1

Kusumastuti, A. D. (2020). Fenomena Jasa Titip (Jastip) Dan Polemik Bagi Kelangsungan Produk Umkm. Jurnal Ekonomi Bisnis Dan Kewirausahaan, 9(1), 33–39. https://doi.org/10.47942/iab.v9i1.645

Pratiwi, M. A. (2022). ANALISIS SENTIMEN UNTUK MENGETAHUI PERSPEKTIF MASYARAKAT MENGENAI VAKSIN COVID-19. Universitas Atma Jaya Yogyakarta.

Purwanti, A. (2024). Fenomena Jastip dan Minat Konsumen terhadap Produk Asing. Kompas.Id. https://www.kompas.id/baca/riset/2024/03/13/fenomena-jastip-dan-minat-konsumen-terhadap-produk-asing

Putri, F. B. V., Susilo, D., & Berto, A. R. (2022). Jaringan dan Komentar Viral Marketing Pantene Indonesia Miracles Hair Supplement Baru Pada Akun Youtube Pantene Indonesia. Jurnal Komunikasi Profesional, 6(3), 212–229. https://doi.org/10.25139/jkp.v6i3.4705

Rohimi, P. (2021). SNA DENGAN NETLYTIC PADA KOLOM KOMENTAR VIDEO YOUTUBE GUS MIFTAH CERAMAH DI GEREJA. 1(1), 360–377. https://doi.org/10.21154/dialogia.v15i2.1192.4

Rozi, I. F., Hamdana, E. N., & Muhammad Balya Iqbal Alfahmi. (2018). PENGEMBANGAN APLIKASI ANALISIS SENTIMEN TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER (Studi Kasus SAMSAT Kota Malang). Jurnal Informatika Polinema, 4(2), 149. https://doi.org/10.33795/jip.v4i2.164

Syauqina, L., Ichsan, S. S., Studi, P., & Komunikasi, I. (2022). Strategi Komunikasi Tentang Sosialisasi. 8(1), 781–793.

Wankhade, M., Rao, A. C. S., & Kulkarni, C. (2022). A survey on sentiment analysis methods, applications, and challenges. In Artificial Intelligence Review (Vol. 55, Issue 7). Springer Netherlands. https://doi.org/10.1007/s10462-022-10144-1

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Published

2024-07-31