Twitter Visualitation of Healty Catering Food Promotion Strategy
DOI:
https://doi.org/10.30737/ekonika.v9i1.4176Keywords:
Healty Catering, Twitter, Menu, Taste, SubscribeAbstract
This analysis aims to determine whether there are differences in marketing strategies and which strategy is superior between the two health catering industries. Intermediary of Twitter as a place to retrieve data, where Twitter is a social media with the fastest spread of news through hashtags and trending topics of a phenomenon that is busy being discussed. They use qualitative methods by utilizing Social Network Analysis (SNA) and are assisted by several supporting tools such as Gephi, Wordji, Notepad++, and Dictionaries to make it easier for researchers to analyze the data obtained so that it is concrete and relevant. From the visualization of Twitter user tweet data, the researcher found that Twitter users discussed Yellowfit Kitchen health catering more than Gorygourmet, as evidenced by a large number of data visualizations obtained. Then on average, customers choose to subscribe to health catering Yellowfit Kitchen with the pure aim of dieting. At the same time, healthy catering Gorygourmet customers subscribe to a more nutritious diet to avoid disease.Downloads
References
Academicians, I. (2018). Advance and Innovative Research. 5(1).
Alkatiri Bin Muhammad Awad, Nadiah Zhafira, & S. Nasution Nada Adinda. (2020). Opini Publik Terhadap Penerapan New Normal Di Media Sosial Twitter. CoverAge: Journal of Strategic Communication, 11(1). www.covid19.go.id DOI: https://doi.org/10.35814/coverage.v11i1.1728
Babić Rosario, A., de Valck, K., & Sotgiu, F. (2020). Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation. In Journal of the Academy of Marketing Science (Vol. 48, Issue 3). https://doi.org/10.1007/s11747-019-00706-1 DOI: https://doi.org/10.1007/s11747-019-00706-1
Brewer, P., & Sebby, A. G. (2021). The effect of online restaurant menus on consumers’ purchase intentions during the COVID-19 pandemic. International Journal of Hospitality Management, 94(November 2020), 102777. https://doi.org/10.1016/j.ijhm.2020.102777 DOI: https://doi.org/10.1016/j.ijhm.2020.102777
Folkvord, F. (2020). Food Marketing in an Obesogenic Environment : a Narrative Overview of the Potential of Healthy Food Promotion to Children and Adults. 431–436. DOI: https://doi.org/10.1007/s40429-020-00338-4
French, S. A., Tangney, C. C., Crane, M. M., Wang, Y., & Appelhans, B. M. (2019). Nutrition quality of food purchases varies by household income: The SHoPPER study. BMC Public Health, 19(1), 1–7. https://doi.org/10.1186/s12889-019-6546-2 DOI: https://doi.org/10.1186/s12889-019-6546-2
Hariyanti, N. T., & Wirapraja, A. (2018). Pengaruh Influencer Marketing Sebagai Strategi Pemasaran Digital Era Moderen (Sebuah Studi Literatur). Jurnal Eksekutif, 15(1), 133–146. DOI: https://doi.org/10.15642/manova.v1i2.350
Hartono, J. M., Luik, J., Prodi, F. G., Komunikasi, I., Kristen, U., & Surabaya, P. (2021). JURNAL E-KOMUNIKASI PROGRAM STUDI ILMU KOMUNIKASI UNIVERSITAS KRISTEN PETRA, SURABAYA Studi Komparatif: Pesan Komunikasi Pemasaran pada Postingan Instagram Healthy Catering Di Indonesia.
Hassan, H., Sade, A. B., & Subramaniam, L. S. (2020). Purchasing functional foods to stay fit. Journal of Humanities and Applied Social Sciences, 2(1), 3–18. https://doi.org/10.1108/jhass-11-2019-0073 DOI: https://doi.org/10.1108/JHASS-11-2019-0073
Headey, D. D., & Alderman, H. H. (2019). The Relative Caloric Prices of Healthy and Unhealthy Foods Differ Systematically across Income Levels and Continents. Journal of Nutrition, 149(11), 2020–2033. https://doi.org/10.1093/jn/nxz158 DOI: https://doi.org/10.1093/jn/nxz158
Idris, I. K. (2018). Government social media in Indonesia: Just another information dissemination tool. Jurnal Komunikasi: Malaysian Journal of Communication, 34(4), 337–356. https://doi.org/10.17576/JKMJC-2018-3404-20 DOI: https://doi.org/10.17576/JKMJC-2018-3404-20
Lazuardy, I. T. (2017). Proceedings 6 th NCAB ( National Conference on Applied Business ) ISBN : 978-602-9026-29-0. 291–300.
Lieharyani, D. C. U., & Ambarwati, R. (2022). Visualisasi Data Tweet di Sektor Pendidikan Tinggi Pada Saat Masa Pandemi. Building of Informatics …, 4(1), 116–123. https://doi.org/10.47065/bits.v4i1.1551 DOI: https://doi.org/10.47065/bits.v4i1.1551
Mentari, T. D. (2021). Nilai dan Influencer Media Sosial sebagai Pembentuk Niat Perilaku Berdiet ( Studi pada Instagram @ menudietharian ). September, 230–245.
Mitei, E., & Ghanem, T. (2020). Leveraging Social Network Analysis to Explore Obesity Talks on Twitter. Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, 3563–3572. https://doi.org/10.1109/BigData50022.2020.9377798 DOI: https://doi.org/10.1109/BigData50022.2020.9377798
Mutawalli, L., Zaen, M. T. A., & Bagye, W. (2019). KLASIFIKASI TEKS SOSIAL MEDIA TWITTER MENGGUNAKAN SUPPORT VECTOR MACHINE (Studi Kasus Penusukan Wiranto). Jurnal Informatika Dan Rekayasa Elektronik, 2(2), 43. https://doi.org/10.36595/jire.v2i2.117 DOI: https://doi.org/10.36595/jire.v2i2.117
Patton-Lopez, M. M., Manore, M. M., Branscum, A., Meng, Y., & Wong, S. S. (2018). Changes in sport nutrition knowledge, attitudes/beliefs and behaviors following a two-year sport nutrition education and life-skills intervention among high school soccer players. Nutrients, 10(11), 1–22. https://doi.org/10.3390/nu10111636 DOI: https://doi.org/10.3390/nu10111636
PilaÅ™, L., Stanislavská, L. K., & KvasniÄka, R. (2021). Healthy food on the twitter social network: Vegan, homemade, and organic food. International Journal of Environmental Research and Public Health, 18(7). https://doi.org/10.3390/ijerph18073815 DOI: https://doi.org/10.3390/ijerph18073815
Pilgrim, K., & Bohnet-Joschko, S. (2019). Selling health and happiness how influencers communicate on Instagram about dieting and exercise: Mixed methods research. BMC Public Health, 19(1), 1–9. https://doi.org/10.1186/s12889-019-7387-8 DOI: https://doi.org/10.1186/s12889-019-7387-8
Ruiz-Capillas, C., & Herrero, A. M. (2019). Impact of biogenic amines on food quality and safety. Foods, 8(2). https://doi.org/10.3390/foods8020062 DOI: https://doi.org/10.3390/foods8020062
Shaikh, A. K., Al-Shamli, M., & Nazir, A. (2021). Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA). Journal of Big Data, 8(1). https://doi.org/10.1186/s40537-021-00411-3 DOI: https://doi.org/10.1186/s40537-021-00411-3
Steinhauser, J., Janssen, M., & Hamm, U. (2019). Consumers’ purchase decisions for products with nutrition and health claims: What role do product category and gaze duration on claims play? Appetite, 141, 104337. https://doi.org/10.1016/j.appet.2019.104337 DOI: https://doi.org/10.1016/j.appet.2019.104337
Stevanie, C. (2020). Pengaruh Food Quality Dan Online Customer Review Terhadap Customer Perceived Value Dan Repurchase Intention Pada Toko Makanan Korea Online Kimchingu. Agora, 8(1), 6.
Surya Gunawan, T., Aleah Jehan Abdullah, N., Kartiwi, M., & Ihsanto, E. (2020). Social Network Analysis using Python Data Mining. 2020 8th International Conference on Cyber and IT Service Management, CITSM 2020. https://doi.org/10.1109/CITSM50537.2020.9268866 DOI: https://doi.org/10.1109/CITSM50537.2020.9268866
Theben, A., Gerards, M., & Folkvord, F. (2020). The effect of packaging color and health claims on product attitude and buying intention. International Journal of Environmental Research and Public Health, 17(6). https://doi.org/10.3390/ijerph17061991 DOI: https://doi.org/10.3390/ijerph17061991
Valaitis, R., Meagher-Stewart, D., Martin-Misener, R., Wong, S. T., MacDonald, M., O’Mara, L., Baumann, A., Brauer, P., Green, M., Kaczorowski, J., Savage, R., Austin, P., MacLellan, K., McNeil, K., Murray, N., Isaacs, S., & Chau, L. (2018). Organizational factors influencing successful primary care and public health collaboration. BMC Health Services Research, 18(1), 1–17. https://doi.org/10.1186/s12913-018-3194-7 DOI: https://doi.org/10.1186/s12913-018-3194-7
Vemprala, N., & Dietrich, G. (2019). A social network analysis (SNA) study on data breach concerns over social media. Proceedings of the Annual Hawaii International Conference on System Sciences, 2019-Janua, 7186–7193. https://doi.org/10.24251/hicss.2019.862 DOI: https://doi.org/10.24251/HICSS.2019.862
WYSKWARSKI, M. (2021). How City Halls in Poland Use Twitter–A Text Mining Analysis. Scholar.Archive.Org, April, 1–2. https://scholar.archive.org/work/sugx6mdajndh7e6gkakhfzsime/access/wayback/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/27966174/IBIMA37CityHallsTwitterTextMiningMWDZ.pdf
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