Between Praise and Criticism: A Sentiment Analysis of Kang Dedi Mulyadi's Leadership On X (Twitter)

Achwan Noorlistyo Adi; Diwan Setiawan; Eny Ratnasari

doi:10.58526/jsret.v5i1.1015

Authors

Achwan Noorlistyo Adi Faculty Communication and Design , University Informatics and Business Indonesian
Diwan Setiawan Faculty Communication and Design, University Informatics and Business Indonesian
Eny Ratnasari Faculty of Social and Political Sciences, University Tidar

DOI:

https://doi.org/10.58526/jsret.v5i1.1015

Keywords:

Kang Dedi Mulyadi, Leadership, Sentiment Analysis, Twitter, West Java

Abstract

Twitter, an archetypal example of an open and real-time social media platform, has emerged as a pivotal virtual interaction space, particularly in the context of shaping public opinion, particularly with regard to political figures. The objective of this study is to analyze the sentiments expressed by netizens regarding the leadership of Governor of West Java, Kang Dedi Mulyadi, through the implementation of sentiment analysis. The data was obtained by utilizing Tweet Harvest, which is based on Twitter API, to collect tweets containing relevant keywords during the period from March to May of 2025. Subsequently, the collected data underwent processing and classification into three sentiment categories: positive, negative, and neutral. This classification was achieved through the utilization of the Orange Data Mining application, in conjunction with the findings derived from Drone Emprit. The results of the sentiment analysis of tweets related to Dedi Mulyadi revealed that neutral sentiment constituted 78.7% of the total, positive sentiment 17.2%, and negative sentiment 4.1%. The sentiments expressed in the tweets pertained to Dedi Mulyadi's performance, daily life, and programs. Preliminary findings from the analysis indicate a positive-neutral sentiment trend on platform X. This phenomenon can be attributed to the predominance of reposter accounts in conversations related to Dedi Mulyadi on X. Nevertheless, these findings demonstrate that leadership in the digital era is not solely influenced by virtual narratives and real actions on the ground, but also by the translation and perception of these actions by the digital society. This research lends further credence to the notion that social media has emerged as a significant instrument for the monitoring of public opinion.

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References

Agustina, D. A., Subanti, S., & Zukhronah, E. (2021). Implementasi Text Mining Pada Analisis Sentimen Pengguna Twitter Terhadap Marketplace di Indonesia Menggunakan Algoritma Support Vector Machine. Indonesian Journal of Applied Statistics, 3(2), 109. https://doi.org/10.13057/ijas.v3i2.44337

Akbar, A. (2025, June 18). Warga Jabar Puas dengan Demul, Kinerja Birokrasi Masih Jadi PR. Www.Tirto.Id. https://tirto.id/warga-jabar-puas-dengan-demul- kinerja-birokrasi-masih-jadi-pr-hdaf

Andini, S., Kurniawan, R., & Anwar, S. (2025). ANALISIS SENTIMEN PENGGUNA X MENGENAI OPINI MASYARAKAT TENTANG DINASTI POLITIK

MENGGUNAKAN ALGORITMA NAÏVE BAYES. Jurnal Informatika Dan Teknik Elektro Terapan, 13(2). https://doi.org/10.23960/jitet.v13i2.6299

Antypas, D., Preece, A., & Camacho-Collados, J. (2023). Negativity spreads faster: A large-scale multilingual Twitter analysis on the role of sentiment in political communication. Online Social Networks and Media, 33, 100242. https://doi.org/10.1016/j.osnem.2023.100242

Berrocal Gonzalo, S., Zamora Medina, R., & REBOLLEDO DE LA CALLE, M. (2021). Politainment, social audiences, and political engagement: Analysing Twitter conversations in Spain. Catalan Journal of Communication and Cultural Studies, 13(1), 23–42. Scopus. https://doi.org/10.1386/cjcs_00037_1

Byun, U., Jang, M., & Baek, H. (2023). The effect of YouTube comment interaction on video engagement: Focusing on interactivity centralization and creators’ interactivity. Online Information Review, 47(6), 1083–1097. Scopus. https://doi.org/10.1108/OIR-04-2022-0217

Ceron, A., Curini, L., Iacus, S. M., & Porro, G. (2014). Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France. New Media & Society, 16(2), 340–358. https://doi.org/10.1177/1461444813480466

Chen, X., Li, X., Yao, D., & Zhou, Z. (2019). Seeking the support of the silent majority: Are lurking users valuable to UGC platforms? Journal of the Academy of Marketing Science, 47(6), 986–1004. Scopus. https://doi.org/10.1007/s11747-018-00624-8

Cristóbal Rovira Kaltwasser & Mudde, C. (2017). Populism: A Very Short Introduction. Oxford University Press. https://doi.org/10.1093/actrade/9780190234874.001.0001

Dean, D., Croft, R., & Pich, C. (2015). Toward a Conceptual Framework of Emotional Relationship Marketing: An Examination of Two UK Political Parties. Journal of Political Marketing, 14(1–2), 19–34. https://doi.org/10.1080/15377857.2014.990849

Demotte, P., Wijegunarathna, K., Meedeniya, D., & Perera, I. (2023). Enhanced sentiment extraction architecture for social media content analysis using capsule networks. Multimedia Tools and Applications, 82(6), 8665–8690. Scopus. https://doi.org/10.1007/s11042-021-11471-1

Emprit, D. (2025). Sentimen Publik Terhadap Dedi Mulyadi. Drone Emprit.

Eriyanto, E. (2021). Analisis Jaringan Media Sosial: Dasar-dasar dan Aplikasi Metode Jaringan Sosial untuk Membedah Percakapan di Media Sosial. Kencana.

Ersada, M. H. (2025, May 31). Konflik, Kontroversi dan Konten: Kiat Sukses Menjadi Populer Ala Kang Dedi Mulyadi. www.nasional.kompas.com. https://nasional.kompas.com/read/2025/05/31/16153561/konflik- kontroversi-dan-konten-kiat-sukses-menjadi-populer-ala-kang-dedi

Fahrudin, A., Lisnarini, N., & Dewi, G. K. (2025). POPULISME KEBIJAKAN GUBERNUR JAWA BARAT DEDI MULYADI (STUDI ANALISIS SENTIMEN). Massive: Jurnal

Ilmu Komunikasi, 5(1), 17–31. https://doi.org/10.35842/massive.v5i1.175 Frigerio, A., & Tenchini, M. P. (2023). Sharing. Ratio, 36(2), 147–158. https://doi.org/10.1111/rati.12375

Froehlich, D. E. (2022). Mixed methods and social network analysis. In International Encyclopedia of Education: Fourth Edition (pp. 685–692). Scopus. https://doi.org/10.1016/B978-0-12-818630-5.11059-0

Gainous, J., & Wagner, K. M. (2013). Tweeting to Power: The Social Media Revolution in American Politics. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199965076.001.0001

Hermans, C. M., & Shanahan, K. J. (2015). The Reification of Levitt: Advertising Preferences for Mexican and American Online Consumers. In H. E. Spotts (Ed.), Proceedings of the 2002 Academy of Marketing Science (AMS) Annual Conference (pp. 147–147). Springer International Publishing. https://doi.org/10.1007/978-3-319-11882-6_50

Holsti, O. R. (1969). Content analysis for the social sciences and humanities. Reading. MA: Addison-Wesley (Content Analysis).

Janati, F., & Ramadhan, A. (2025, May 3). Dedi Mulyadi Hobi Unggah Konten, Pengamat: Risikonya Enggak Semua Konten Disukai. Kompas.com. https://nasional.kompas.com/read/2025/05/03/13082891/dedi-mulyadi- hobi- unggah-konten-pengamat-risikonya-enggak-semua-konten

Jauhari, E., Djatmika, D., & Santosa, R. (2020). Criticism in the Javanese Arek Cultural Community: Its expression context and strategy use. Pragmatics and Society, 11(4), 524–544. https://doi.org/10.1075/ps.16032.jau

Jovanica, C., Rahmintaningrum, D. D., Nuradni, H. A., & Salsabila, A. (2022). ANALISIS PENGARUH AKTOR PADA TAGAR #ROKETCHINA DI MEDIA SOSIAL TWITTER MENGGUNAKAN SOCIAL NETWORK ANALYSIS (SNA). Jurnal Ilmiah Komunikasi Makna, 10(1), 43. https://doi.org/10.30659/jikm.v10i1.15644

Kaloka, R. A., Larasati, E., Sardini, N. H., & Wijayanto, W. (2025). Value representation in political branding, why political party needed it? Edelweiss Applied Science and Technology, 9(4), 1229–1239. https://doi.org/10.55214/25768484.v9i4.6228

Kusˇen, E., & Strembeck, M. (2018). Politics, sentiments, and misinformation: An analysis of the Twitter discussion on the 2016 Austrian Presidential Elections. Online Social Networks and Media, 5, 37–50. https://doi.org/10.1016/j.osnem.2017.12.002

Li, D., Li, W., Lu, B., Li, H., Ma, S., Krishnan, G., & Wang, J. (2025). Delving Deep into Engagement Prediction of Short Videos. 15112 LNCS, 289–306. Scopus. https://doi.org/10.1007/978-3-031-72949-2_17

Macagno, F. (2022). Argumentation profiles and the manipulation of common ground. The arguments of populist leaders on Twitter. Journal of Pragmatics, 191, 67–82. https://doi.org/10.1016/j.pragma.2022.01.022

Masduki. (2017). Political economy of sport broadcasting: Assessing Indonesian PSB policy in sport broadcasting. International Communication Gazette, 79(2), 162–174. https://doi.org/10.1177/1748048516689196

Mensah, K. (2016). Political brand architecture: Towards a new conceptualisation of political branding in an emerging democracy. African Journalism Studies, 37(3), 61–84. https://doi.org/10.1080/23743670.2016.1220401

Mulya, F. P. (2025, May 28). Survei: Tingkat kepuasan warga kepada Gubernur Jabar tertinggi di Jawa. 2025.

https://www.antaranews.com/berita/4864209/survei-tingkat-kepuasan- warga-kepada-gubernur-jabar-tertinggi-di-jawa

Niitsuma, T., Yoshida, M., Tamori, H., & Nakawake, Y. (2025). Prestige bias drives the viral spread of content reposted by influencers in online communities. Scientific Reports, 15(1), 15282. https://doi.org/10.1038/s41598-025-98955-4

Novitasari, A., Sumartias, S., & Rizal, E. (2024). STRUKTUR JARINGAN PENGGUNA MEDIA SOSIAL X DENGAN TAGAR NOVIRALNOJUSTICE. 7(2).

OpiniPlus. (2025, June 20). Warga Jabar Puas Dengan Kepemimpinan Dedi Mulyadi, Tapi Kinerja Birokrasi Masih Jadi PR. Www.Opiniplus.Com. https://opiniplus.com/warga-jabar-puas-dengan-kepemimpinan-dedi- mulyadi-tapi-kinerja-birokrasi-masih-jadi-pr/Persib. (2025). Profil Persib Bandung. https://www.instagram.com/persib

Pich, C., Armannsdottir, G., Dean, D., Spry, L., & Jain, V. (2019). Problematizing the presentation and reception of political brands: The strategic and operational nature of the political Brand alignment model. European Journal of Marketing, 54(1), 190–211. https://doi.org/10.1108/EJM-03-2018-0187

Pich, C., & Dean, D. (2015). Political branding: Sense of identity or identity crisis? An investigation of the transfer potential of the brand identity prism to the UK Conservative Party. Journal of Marketing Management, 31(11–12), 1353– 1378. https://doi.org/10.1080/0267257X.2015.1018307

Rogers, E. M., & Kincaid, L. (1981). Communication Network: Toward A new Paradigm for Research.

Rose, G. M., Baca, E., Horton Foley, L. M., & Blodgett, J. (2015). Consumer Susceptibility to Interpersonal Influence and the Importance of Brands in a High-Versus A Low-Context. In H. E. Spotts (Ed.), Assessing the Different Roles of Marketing Theory and Practice in the Jaws of Economic Uncertainty (pp. 281–281). Springer International Publishing. https://doi.org/10.1007/978- 3-319-11845-1_96

Stieglitz, S., & Dang-Xuan, L. (2013). Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems, 29(4), 217–248. https://doi.org/10.2753/mis0742-1222290408

Sumartias, S., Dewi, E. A. S., Sjoraida, D. F., Budiana, H. R., & Ratnasari, E. (2025). From memes to activism: A bibliometric analysis of digital democracy research in Indonesia (2014-2024). Ethiopian Renaissance Journal of Social Sciences and Humanities, 12(1), 1–31. https://doi.org/10.4314/erjssh.v12i1.1

Sumartias, S., Pulubuhu, D. A. T., Elfitra, E., & Ratnasari, E. (2024). Portrait of Hate Speech Propagators’ Behaviour in Indonesia Twittersphere: A Comparative Virtual Ethnography Study. Jurnal Komunikasi: Malaysian Journal of Communication, 40(2), 1–22. https://doi.org/10.17576/JKMJC-2024-4002-01

Sumartias, S., Pulubuhu, D. A. T., Sudarmono, S., Noorlistyo Adi, A., & Ratnasari, E. (2023). Democracy in the Indonesian Digital Public Sphere: Social Network Analysis of Twitter Users’ Responses to the Issue of Nationalism Knowledge Test at the Corruption Eradication Commission (TWK-KPK). Jurnal Ilmu Sosial Dan Ilmu Politik, 26(3), 240. https://doi.org/10.22146/jsp.70896

Tran, J. D. (2022). Sharing Truths About the Self: Theorizing News Reposting on Social Media. International Journal of Communication, 16, 3626–3645. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0- 85159796901&partnerID=40&md5=aef82c34befc537534fa98413a3622be

Watson, P. J. (2018). Colombia’s Political Football: President Santos’ National Unity Project and the 2014 Football World Cup. Bulletin of Latin American Research, 37(5), 598–612. https://doi.org/10.1111/blar.12634 We Are Social & Meltwater. (2025). Digital 2025.

Webb, H., Burnap, P., Procter, R., Rana, O., Stahl, B. C., Williams, M., Housley, W., Edwards, A., & Jirotka, M. (2016). Digital Wildfires: Propagation, Verification, Regulation, and Responsible Innovation. ACM Transactions on Information Systems, 34(3), 1–23. https://doi.org/10.1145/2893478

Weismueller, J., Gruner, R. L., & Harrigan, P. (2023). Consumer Engagement in Influencer Marketing Video Campaigns: An Abstract. In Developments in Marketing Science: Proceedings of the Academy of Marketing Science (pp. 71– 72). Scopus. https://doi.org/10.1007/978-3-031-24687-6_24

Yoon, J., Hagen, L., Andrews, J., Scharf, R., Keller, T., & Chung, E. K. (2019). On the use of multimedia in twitter health communication: Analysis of tweets regarding the zika virus. Information Research, 24(2). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0- 85070214206&partnerID=40&md5=b9ea93e7a6c8b9584aaa41ba4e67a1c d