The Influence of Sentiment Analysis Based on Electronic Word of Mouth Generated from Social Media Marketing Activities on the Competitive Position of Janji Jiwa and Kopi Kenangan
DOI:
https://doi.org/10.61221/jriem.v3i1.51Keywords:
Electronic Word of Mouth, Sentiment Analysis, Social Media Marketing Activities, Janji Jiwa, Kopi KenanganAbstract
Today's fierce business competition can affect the competitive position of a brand, and with the development of technology in the digital era changing consumer behavior that has a dependence on the internet network in communicating opinions, information, and transactions that influence each other or what is commonly called Electronic Word of Mouth (E-WOM). In E-WOM itself, there are sentiments that can be analyzed to determine whether the meaning of the sentence is positive, negative, or neutral. The sentiment is what the brand needs to know the perspective of the market. The development of this digital era also requires a brand to have a social media account to make an assessment first before deciding on a purchase. Brands that have a positive and strong image in the minds of consumers or followers are believed to be able to attract consumer interest in buying products offered by a brand. This research was conducted by looking at the quality of Sentiment Analysis from each coffee shop brand on Electronic Word of Mouth (E-WOM) generated by Social Media Marketing Activities on Instagram social media. The case study was conducted on business competition between two coffee shop brands Janji Jiwa and Kopi Kenangan, because based on the brand index of the Top Brand Award the two coffee shops are in a very tight competitive position. Sentiment analysis was conducted using Python and Jupyter. The results showed that Janji Jiwa coffee shop has a positive comment weight of 14.90%, which is higher than Kopi Kenangan coffee shop that has a positive comment weight of only 11.70% with the weight of negative comments owned by both coffee shop brands amounting to 73.30%. Positive sentiment. The positive comment weights reflect the competitive positioning of the two brands, with Janji Jiwa being in a stronger position than Kopi Kenangan.
References
Ahdiat, A. (2022, April 13). Indeks Persaingan Usaha Indonesia (2018-2021). Diambil kembali dari katadata.co.id: https://databoks.katadata.co.id/datapublish/2022/04/11/persaingan-usaha-di-indonesia-meningkat-dekati-target-2024
Aw, E. F. (2019). Antecedents and consequences of self-congruity: replication and extension. Journal of Consumer Marketing.
Dewi, L. &. (2022). SERVICE QUALITY, CUSTOMER VALUE, AND PRICE TO CONSUMER SATISFACTION AT KOPI KENANGAN COFFEE SHOP. International Journal of Social Science (IJSS).
Fauzan, R., Supryanita, R., & Rahmatika. (2022). Analisis Strategi Pemasaran Untuk Peningkatan Daya Saing pada Bisnis Kafe di Kota Bukittinggi (Studi Kasus Kafe Teras Kota). Jurnal Manajemen Bisnis Syariah (MABIS).
Irawan, M. F., Evanita, E., & Riadi, A. A. (2024). ANALISIS SENTIMEN TERHADAP AKUN TWITTER TERHADAP AKUN TWITTER KEDAI KOPI JANJI JIWA MENGGUNAKAN METODE NAIVE BAYES. Digital Innovation and Technology Journal.
Isnayni, B. N., Saputra, N., & Hastono, T. (2024). SENTIMENT ANALYSIS OF COFFEE SHOP REVIEWS USING RANDOM FOREST CLASSIFIER METHOD. JTH: Journal of Technology and Health.
Katadata Media Network. (2018, July 31). Diambil kembali dari 2021, Konsumsi Kopi Indonesia Diprediksi Mencapai 370 Ribu Ton: https://databoks.katadata.co.id/datapublish/2018/07/31/2021-konsumsi-kopi-indonesia-diprediksi-mencapai-370-ribu-ton
Koay, K. O. (2020). Perceived Social Media Marketing Activities and Consumer-Based Brand Equity. Asia Pacific Journal of Marketing and Logistics.
Lee, H. Z. (2020). Effect of Competitors’ eWOM in the Mobile Game Market. Journal of Computer Information Systems.
Liao, S. H. (2021). Risk and Opportunity for Online Purchase Intention – A Moderated Mediation Model Investigation. Telematics and Informatics.
Moedeen, S. C.-X. (2024). Social Media Marketing in the Digital Age: Empower Consumers to Win Big? Asia Pacific Journal of Marketing and Logistics.
Pandey, N., Jha, S., & Singh, G. (2020). Promotion of green products on Facebook: insights from millennials. Int. J. Management Practice.
Putri, O. E., Pranatawijaya, V. H., & Kristianti, N. (2024). ANALISIS SENTIMEN BERBASIS ASPEK DAN DETEKSI EMOSI PADA COFFEE SHOP PALANGKA RAYA MENGGUNAKAN DEEP LEARNING. JOINTECOMS (Journal of Information Technology and Computer Science).
Rosario, A. B., Valck, K. d., & Sotgiu, F. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. Journal of the Academy of Marketing Science.
Safitri, L. N., Nurhasan, R., & Roji, F. F. (2024). Analisis Sentimen Terhadap Citra Merek Starbucks Pada Media Sosial Twitter. Jurnal E-Bis:Ekonomi Bisnis.
SAKDIYAH, H. (2023). ANALISIS SENTIMEN CUSTOMER REVIEW BRAND KOPI KENANGAN MENGGUNAKAN METODE NAIVE BAYES. UNIVERSITAS ISLAM NEGERI MAULANA MALIK IBRAHIM.
Soltani, M. H. (2021). Identifying The Factors Affecting Competitiveness: A Case Study of Iranian Natural Gas Industry. Energy Strategy Review.
Soltani, N. T. (2021). Quantification and Exposure Assessment of Microplastics in Australian Indoor House Dust. Environmental Pollution.
TopBrand. (2023, April 6). Komparasi Brand Index (Kedai Kopi). Diambil kembali dari Top Brand Award: https://www.topbrand-award.com/komparasi_brand/bandingkan?id_award=1&id_kategori=2&id_subkategori=730
Yadav, J. (2023). Sentiment Analysis on Social Media. Qeios.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Saffania Zahra Aina Halinda, Hasrini Sari

This work is licensed under a Creative Commons Attribution 4.0 International License.



