Public Discourse on Toll Road Services During the Eid Homecoming: A Topic Modelling and Agenda Rippling Analysis
DOI:
https://doi.org/10.18326/inject.v10i2.5556Keywords:
Topic Modeling, LDA, Reverse Agenda-Setting, Agenda Rippling, Toll RoadAbstract
This study examines the digital discourse regarding toll road services during the 2025 Eid homecoming using Topic Modeling with the Latent Dirichlet Allocation (LDA) method, grounded in the Reverse Agenda-Setting theory and the concept of Agenda Rippling. Data were collected from conversations on the social media platform X (Twitter) during the period from seven days before to seven days after Eid (March 24-April 8, 2025). The analysis identified three main issues: direct user experiences related to traffic conditions, driving behavior, and accidents (Topic 6); official communications from relevant authorities such as the Police and Jasa Marga (Topic 8); and public disappointment due to the gap between expectations and the actual quality of toll road services (Topic 3). This study employs Reverse Agenda-Setting Theory and the concept of Agenda Rippling to explain how public opinion can reshape the direction of media communication. The findings highlight the importance of monitoring digital public discourse to address the informational needs and aspirations of society, particularly in strategic moments such as the Eid homecoming season.
References
Abduh, Y. N. P., & Anwar, R. K. (2024). Research Trends on the Influence of Social Media on Public Perceptions: A Bibliometric Approach. TEMALI : Jurnal Pembangunan Sosial, 7(1), 85–98. https://doi.org/10.15575/jt.v7i1.33408
Bahfein, S., & Alexander, H. B. (2025, March 19). Jasa Marga Prediksi 2,18 Juta Kendaraan Keluar Jakarta Saat Mudik. https://www.kompas.com/properti/read/2025/03/19/161655921/jasa-marga-prediksi-218-juta-kendaraan-keluar-jakarta-saat-mudik
Baihaqi, H. (2024, April 25). Awas! Ada Risiko Bencana di Tol Cipali saat Mudik Lebaran 2024. https://ekonomi.bisnis.com/read/20240325/45/1752486/awas-ada-risiko-bencana-di-tol-cipali-saat-mudik-lebaran-2024
Bhuvana, N., & Aram, I. A. (2019). Facebook and WhatsApp as disaster management tools during the Chennai (India) floods of 2015. International Journal of Disaster Risk Reduction, 39, 101135. https://doi.org/10.1016/j.ijdrr.2019.101135
Boling, K. S., Habecker, P., Kirkpatrick, C. E., Hample, J., Subramanian, R., Schlosser, A., & Jones, V. (2025). “Addiction is Not a Choice.” #narcansaveslives: Collective Voice in Harm Reduction on TikTok. Health Communication, 40(5), 783–793. https://doi.org/10.1080/10410236.2024.2366709
Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18(3), 328–352. https://doi.org/10.1080/14780887.2020.1769238
Chen, C., Zhang, D., Ma, X., Guo, B., Wang, L., Wang, Y., & Sha, E. (2016). crowddeliver: Planning City-Wide Package Delivery Paths Leveraging the Crowd of Taxis. IEEE Transactions on Intelligent Transportation Systems, 1–19. https://doi.org/10.1109/TITS.2016.2607458
Chong, M. (2019). Connective power of the twitter networks: Discovering the reverse agenda‐setting effects of hashtag activism through topic modeling. Proceedings of the Association for Information Science and Technology, 56(1), 629–630. https://doi.org/10.1002/pra2.113
CNN Indonesia. (2024a, April 3). Jasa Marga Waspadai 3 Titik Macet Baru di Tol saat Mudik Lebaran. https://www.cnnindonesia.com/ekonomi/20240403141053-92-1082354/jasa-marga-waspadai-3-titik-macet-baru-di-tol-saat-mudik-lebaran
CNN Indonesia. (2024b, April 9). Deret Kecelakaan Maut Musim Mudik 2024. https://www.cnnindonesia.com/nasional/20240409100416-20-1084586/deret-kecelakaan-maut-musim-mudik-2024
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Thousand Oaks, SAGE.
Dananjaya, D., & Ferdian, A. (2024, March 22). Awas Macet, Tol Sedyatmo Arah Bandara Soekarno-Hatta Banjir. https://otomotif.kompas.com/read/2024/03/22/124504515/awas-macet-tol-sedyatmo-arah-bandara-soekarno-hatta-banjir
Darmawan, R. K. (2024, June 29). Kecelakaan 7 Kendaraan di Tol Cipali, Korban: Tiba-tiba Dihantam dari Belakang, “Brek.” https://bandung.kompas.com/read/2024/06/29/063600678/kecelakaan-7-kendaraan-di-tol-cipali-korban--tiba-tiba-dihantam-dari
Daud, R. S. (2021). The Role of Political Communication in Shaping Public Opinion: A Comparative Analysis of Traditional and Digital Media. Journal of Public Representative and Society Provision, 1(2), 63–69. https://doi.org/10.55885/jprsp.v1i2.241
Didik Supriyanto. (2023). QUALITY OF PUBLIC SERVICES THROUGH SOCIAL MEDIA. International Journal of Social Science, 2(5), 2055–2062. https://doi.org/10.53625/ijss.v2i5.4810
Evanita, E., Noersasongko, E., & Pramunendar, R. A. (2016). PREDIKSI VOLUME LALU LINTAS ANGKUTAN LEBARAN PADA WILAYAH JAWA TENGAH DENGAN METODE K-MEANS CLUSTERING UNTUK ADAPTIVE NEURO FUZZY INFERENCE SYSTEM (ANFIS). Simetris : Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 7(1), 199. https://doi.org/10.24176/simet.v7i1.505
Feezell, J. T., Wagner, J. K., & Conroy, M. (2021). Exploring the effects of algorithm-driven news sources on political behavior and polarization. Computers in Human Behavior, 116, 106626. https://doi.org/10.1016/j.chb.2020.106626
Fotova Čiković, K., Keček, D., University North, Croatia, Posavec, J., & University North, Croatia. (2023, December 15). The Impact of Influencers and Influencer Marketing on the Formation of Public Opinion: Perceptions of Croatian Students. Economic and Business Trends Shaping the Future. https://doi.org/10.47063/EBTSF.2023.0004
Gideon, A. (2024, April 12). Deretan Kecelakaan Maut Mudik Lebaran 2024. https://www.liputan6.com/bisnis/read/5571818/deretan-kecelakaan-maut-mudik-lebaran-2024
Hendrawan, H. (2020). Change route preferences based on temporary migration route condition information. MEDIA KOMUNIKASI TEKNIK SIPIL, 26(1), 17–25. https://doi.org/10.14710/mkts.v26i1.25987
Humeira, B., & Ramadhan, A. (2022). The Uses of Social Media in Journalism Practices: The Reversed-Agenda Setting on Television News Production. Jurnal Studi Jurnalistik, 4(2), 19–34. https://doi.org/10.15408/jsj.v4i2.28964
Iriany, I. S., Pasciana, R., Ramdhani, A., & Mulyaningsih. (2019). Eid homecoming “Mudik” tradition as a conventional pattern in the global era. Journal of Advanced Research in Social Sciences and Humanities, 4(3). https://doi.org/10.26500/JARSSH-04-2019-0306
Jiang, M., & Fu, K. (2018). Chinese Social Media and Big Data: Big Data, Big Brother, Big Profit? Policy & Internet, 10(4), 372–392. https://doi.org/10.1002/poi3.187
Kencana, M. R. B. (2024, April 13). 16 Ribu Kendaraan Kurang Saldo E-Toll saat Arus Mudik Lebaran 2024. https://www.liputan6.com/bisnis/read/5572383/16-ribu-kendaraan-kurang-saldo-e-toll-saat-arus-mudik-lebaran-2024
Kim, S. T., & Lee, Y. H. (2006). New Functions of Internet Mediated Agenda-Setting: Agenda-Rippling and Reversed Agenda-Setting. Korean Journal of Journalism & Communication Studies, 50(3), 175–205.
Laskara, G. W. (2021). Prinsip Perencanaan dan Kriteria Pengendalian Pengembangan Fasilitas Rest-Area pada Jalan Tol di Indonesia: Planning Principles and Development Control Criteria of Rest Area Facilities on Toll Roads in Indonesia. Journal of Regional and Rural Development Planning, 5(2), 123–133. https://doi.org/10.29244/jp2wd.2021.5.2.123-133
Luo, Y., & Harrison, T. M. (2019). How citizen journalists impact the agendas of traditional media and the government policymaking process in China. Global Media and China, 4(1), 72–93. https://doi.org/10.1177/2059436419835771
Maharani, A. S. A., & Alexander, H. B. (2024, March 26). “Rest Area” Jadi Salah Satu Penyebab Kemacetan di Jalan Tol. https://www.kompas.com/properti/read/2024/03/26/063000421/-rest-area-jadi-salah-satu-penyebab-kemacetan-di-jalan-tol
McCombs, M. (2002). The agenda-setting role of the mass media in the shaping of public opinion. Mass Media Economics 2002 Conference, London School of Economics.
Ministry of Transportation’s transportation policy agency. (2025). Hadapi Arus Mudik 2025, Kemenhub Siapkan Langkah Strategis untuk 146 Juta Pemudik.
Nurcahayati, Anggara, O. F., & Karsono, S. (2023). “Even Salmon Go Upstream, Back to Their Birthplace”: A Psychogeography of Mudik, the Indonesian-Muslim Mass Seasonal Migration. The Southeast Asian Review, 33(2), 75–114.
Pau, A. I. K. (2025). Indonesia Tempati Peringkat Keempat Pengguna X Terbanyak Dunia. https://rri.co.id/kupang/hiburan/1819337/indonesia-tempati-peringkat-keempat-pengguna-x-terbanyak-dunia
Prabowo, M., & Irwansyah, I. (2018). Trending Topics Vs Agenda-Setting:Pengaruh Trending Topics Politik sebagai Reversed Agenda-Setting dan Haluan Politik Pemilik Terhadap Berita Politik di Televisi. Jurnal Komunikasi Indonesia, 5(1), 5–15. https://doi.org/10.7454/jki.v5i1.8895
Prejo-Cuéllar, M., Vizcaíno-Verdú, A., & De-Casas-Moreno, P. (2022). Agenda-Setting invertida: Ciudadanía juvenil (in)formada en redes sociales. Revista ICONO 14. Revista Científica de Comunicación y Tecnologías Emergentes, 20(2). https://doi.org/10.7195/ri14.v20i2.1869
Pusparisa, Y. D. R. (2024, April 21). Kecelakaan Travel "Gelap” Jalan Tol Cikampek Menguak Borok Transportasi Darat. https://www.kompas.id/artikel/kecelakaan-travel-gelap-tol-cikampek-menguak-borok-transportasi-darat
Radiansyah, K. A., Isheka, R. P., & Aurarisa, I. (2024). The Effectiveness of Traffic Flow Scenarios during Eid Al-Fitr at The Sidoarjo Tollgates Based on Microsimulation Modeling: Efektivitas Skenario Lalu Lintas Arus Lebaran Idul Fitri di Gerbang Tol Sidoarjo berdasarkan Pemodelan Mikrosimulasi. Bentang : Jurnal Teoritis Dan Terapan Bidang Rekayasa Sipil, 12(1), 1–12. https://doi.org/10.33558/bentang.v12i1.7972
Ramadan, M. F. (2024, March 24). Hati-hati Pemudik! Ternyata Ini Penyebab Utama Macet di Jalan Tol. https://otomotif.sindonews.com/read/1346495/183/hati-hati-pemudik-ternyata-ini-penyebab-utama-macet-di-jalan-tol-1711249406
Russell Neuman, W., Guggenheim, L., Mo Jang, S., & Bae, S. Y. (2014). The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data: Dynamics of Public Attention. Journal of Communication, 64(2), 193–214. https://doi.org/10.1111/jcom.12088
Saputra, A. (2024, April 7). Macet Tol Merak Jadi Tontotan Warga. https://news.detik.com/foto-news/d-7283282/macet-tol-merak-jadi-tontotan-warga
Srivastava, A. N., & Sahami, M. (Eds.). (2009). Text Mining: Classification, Clustering, and Applications (0 ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781420059458
Suartika, I. M., Suraharta, I. M., & Jepriadi, K. (2024). Analisis Time Windows Jalan Satu Arah pada Musim Lebaran di Jalan Tol. Jurnal Penelitian Transportasi Darat, 26(1), 63–74. https://doi.org/10.25104/jptd.v26i1.2369
Wibowo, K. A., & Karlinah, S. (2018). Retraction: Detroit water shutoff: The dynamics of intermedia agenda Setting ( J. Phys.: Conf. Ser. 1114 012006). Journal of Physics: Conference Series, 1114, 012140. https://doi.org/10.1088/1742-6596/1114/1/012140
Widadio, N. A. (2024, April 8). Mudik Lebaran 2024: Dari aturan ganjil-genap di tol hingga cuaca ekstrem. https://www.bbc.com/indonesia/articles/ce483331e14o
Yang, Y., Cer, D., Ahmad, A., Guo, M., Law, J., Constant, N., Abrego, G. H., Yuan, S., Tar, C., Sung, Y., Strope, B., & Kurzweil, R. (2020). Multilingual Universal Sentence Encoder for Semantic Retrieval. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 87–94. https://doi.org/10.18653/v1/2020.acl-demos.12
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 INJECT (Interdisciplinary Journal of Communication)
This work is licensed under a Creative Commons Attribution 4.0 International License.
