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All Journal Jurnal Manajemen dan Bisnis (Performa) Mimbar Pendidikan: Jurnal Indonesia untuk Kajian Pendidikan Jurnal Penelitian Pendidikan IMAGE Journal of Business Management Education (JBME) Jurnal Manajemen Pelayanan Publik Jurnal Manajemen dan Bisnis Indonesia Syntax Literate: Jurnal Ilmiah Indonesia Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen Jurnal Pendidikan Akuntansi dan Keuangan The International Journal of Business Review (The Jobs Review) Organum: Jurnal Saintifik Manajemen dan Akuntansi Jurnal Ilmiah Manajemen dan Bisnis International Journal of Communication and Society Jurnal Penelitian Ekonomi Akuntansi (JENSI) Jurnal Pengabdian Masyarakat Multidisiplin BERNAS: Jurnal Pengabdian Kepada Masyarakat JURNAL APARATUR International Journal of Community Service Daengku: Journal of Humanities and Social Sciences Innovation JURNAL EKONOMI BISNIS DAN MANAJEMEN (EKO-BISMA) Apollo: Journal of Tourism and Business Atestasi : Jurnal Ilmiah Akuntansi
Budhi Pamungkas Gautama, Budhi
Universitas Pendidikan Indonesia
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Sustainability Discourse and Influencer Networks in Plant-Based and Dairy Protein Milk Conversations: A Social Network Analysis and Sentiment Mining Study on X (Twitter) Abiali Al-Ikhsan; Asep Miftahuddin; Eka Surachman; Yoga Perdana; Budhi Pamungkas Gautama; Arciana Damayanti
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.659

Abstract

This study examines the discourse of sustainability and social media influencers’ networks concerning X (Twitter) conversations involving plant-based milk and dairy milk with regard to how these two affect consumer perceptions and product marketing. Methods for quantitative and explorative research in combination with social network analysis (SNA) and sentiment mining were applied. The source of data for this research was based on 223 X (Twitter) posts retrieved from SocialX from December 1, 2025, to May 5, 2026. Sentiment analysis was performed using the lexicon approach, which was further weighted based on engagement measures, whereas SNA was performed based on the centrality and community structure of the networks. The results indicate that sustainability discourse is predominantly neutral or positive in nature, with a slightly positive sentiment score. The network demonstrates high levels of centrality, where the nodes with high levels of influence have an effect on information dissemination. The sentiment trends are marked with high levels of variability and occasional occurrences of negative sentiments, which implies that the discourse is driven by certain events. The emotion analysis shows that the emotions expressed are positive in nature but are not varied. The present study makes an important contribution to the literature in terms of incorporating the concepts of sentiment analysis together with social network analysis to explore the role of sustainability discourse in a competitive product environment.
A Multi-Layered Analysis of Digital Public Discourse on Electric Vehicles: Integrating Sentiment, Emotion, and Network Structures in Social Media Riki Abu Brantas; Asep Miftahuddin; Eka Surachman; Budhi Pamungkas Gautama; Yoga Perdana; Arciana Damayanti
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.668

Abstract

This study analyses the structure and dynamics of digital public discourse on electric vehicles using a data-driven social media analytics approach. A total of 219 tweets were collected through the SocialX data mining system and analysed using Natural Language Processing (NLP), Social Network Analysis (SNA), Text Network Analysis (TNA), sentiment analysis, emotion analysis, trend analysis, and zero-shot classification. The analytical process included word cloud extraction, transformer-based sentiment and emotion classification, network mapping, and temporal trend analysis. The results indicate that electric vehicle discourse is highly dynamic and event-driven, with discussion peaks influenced by policy developments and technological innovations. Sentiment analysis shows a predominance of neutral content, suggesting that users mainly engage in information sharing, while positive and negative sentiments reflect support and criticism. Emotion analysis reveals optimism as the dominant emotion, accompanied by concern and critical perspectives. TNA identifies interconnected themes related to electricity, vehicles, policy, and economic issues, whereas SNA highlights a hybrid interaction structure in which several influential actors play key roles in information dissemination and discourse amplification. This study contributes an integrated analytical framework that combines textual, emotional, structural, and temporal dimensions of online discourse. The findings provide valuable insights for policymakers, industry stakeholders, and communication practitioners in developing more effective electric vehicle communication strategies and policies.
Public Discourse and Digital Customer Experience in Online Motorcycle Taxi Services: A Multimethod Analysis Ferel Rizqia Maulana; Asep Miftahuddin; Eka Surachman; Yoga Perdana; Budhi Pamungkas Gautama; Arciana Damayanti
Apollo: Journal of Tourism and Business Vol. 4 No. 3 (2026): September 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/apollo.v4i3.679

Abstract

The digital technology has transformed the platform-based transportation services and now, digital customer experience is playing a pivotal role in the success of the service. But, there is a constant mismatch between what is expected from the services and what the users experience, which can be seen in the social media discourse. The goal of this study is to analyze the construction of digital customer experience, its communication and its impact on online motorcycle taxi services. The research uses a multi-method design, combining sentiment analysis, social network analysis, text network analysis, emotion classification, and trend analysis on social media discourse to get a comprehensive grasp of user-generated discourse and its complexity. The results show that the digital customer experience is multi-dimensional by nature, sometimes being characterized in a positive way and sometimes in a negative way, and the act of speaking publicly of it is a mixture of positive and negative. Furthermore, the discourse is structured, with the main actors being in the center of opinion formation and dissemination in the digital network. These findings enable the theoretical sophistication of the digital customer experience and the digital public sphere, since they show how individual experiences turn into collective perceptions, as a result of their interaction. For the practice, the study highlights the significance of businesses proactively engaging in digital conversations, enhancing their services, and effectively managing digital communities.
Co-Authors Abiali Al-Ikhsan Abubakar Abubakar Arciana Damayanti Arciana Damayanti Asep Miftahuddin Askolani Askolani, Askolani Asrifah, Cici Asti Nur Aryanti Aziz Muradovich, Kayrdinov Cici Asrifah Davu Raissa Elazar Dibias Lazuardi Maulid Diinan Nur Khulaidah Endah Fitriyani Ferel Rizqia Maulana Gina Sofiasani Gina Sofiasani, Gina Hakimboy, Rojabov Hari Mulyadi, Hari Heny Hendrayati Igga Zhandraverina Ikaputera Waspada, Ikaputera Ilma Indriasri Pratiwi Indriana Agusti, Nila Juliana Juliana Krishna Yuliawati, Ayu Krishna, Yuliawati Lazuardi Imani Hakam Lazuardi, Dibias Maman Fathurohman, Cecep Maya Sari Miftahuddin, S.Si.,MAB., asep Mohamad Sapari Hadian Muhammad Apriandito Arya Saputra Nada Kirana Octavia Nanang Fattah Netti Siska Nurhayati Nurhayati Siska Perdana, Yoga Qudratov, Inomjon Rahayu, Siscania Yoanita Permata Riki Abu Brantas Rizka Annisa Rizqiana Arifatul Husna Rofi Rofaida Ruhadi Ruhadi Salsabila Sidiq, Aina Sarvarbek, Shomurodov Siscania Yoanita Permata Rahayu Siska, Nurhayati Sumarto Sumarto Surachman, Eka Suryana Suryana Wulung, Shandra Rama Panji Yuliawati Krishna Yuniar Haryati, Yuniar