Consumer Interest in Consuming Bandung’s Special Culinary on Instagram Social Media: Sentiment Analysis
Keywords:
bigdata, consumer interest, social network analysisAbstract
The existence of big data information regarding consumer conversations about culinary, both positive and negative brands, consumer characteristics, customer satisfaction can take advantage of the social media data by business actors to determine the effectiveness of their marketing strategies on Twitter (2). Big data that can be utilized by business actors can be seen from public sentiment through conversations on social media. This study takes texts using #kulinerkhasbandung and #kulinerhalalbandung. The purpose of sentiment analysis is to see positive and negative conversations from text documents and visualizations. Primary data is obtained through observations of consumer activities/interactions that talk about Bandung's culinary specialties on Instagram. This study uses a social network analysis method that focuses on human interaction discussing typical Bandung culinary and halal cuisine. In other words, the measurement and analysis of social networks is mainly based on the ties between actors/nodes. Attributes of actors will help researchers to verify hypotheses of social behavior and analyze certain social phenomena. The population in this study is mention, reply, repost about #kulinerkhasbandung and #kulinerhalalbandung on Instagram social media. In the process of user generated content (UGC) the data collected is a conversation/interaction (17) with #kulinerkhasbandung and #kulinerhalalbandung on Instagram. The research results are in 2022, the movement of talks increased considerably, said to be very good accompanied by neutral comments. As for the hashtag, it can be concluded that batagor, baso, and surabi are Bandung's culinary specialties that are most sought after and in demand by people. The discussion about #kulinerhalalbandung became one of the fourth trending hashtags from #kulinerkhasbandung. This has at least gotten the attention of consumers in the search for #kulinerkhasbandung.
References
Alfajri, M. F., Adhiazni, V., & Aini, Q. (2019). Pemanfaatan Social Media Analytics Pada Instagram Dalam Peningkatan Efektivitas Pemasaran. Interaksi: Jurnal Ilmu Komunikasi, 8(1), 34. https://doi.org/10.14710/interaksi.8.1.34-42
Aulia, D. F. (2022). Kota Bandung Akan Sediakan Zona Wisata Kuliner Halal, Bukan Hanya untuk Wisatawan Muslim. Retrieved March 12, 2022, from https://www.pikiran-rakyat.com/bandung-raya/pr-013785168/kota-bandung-akan-sediakan-zona-wisata-kuliner-halal-bukan-hanya-untuk-wisatawan-muslim
Firrezqi, W. A. (2021). Analisis Penjualan Produk Baru Di Media Sosial Instagram Untuk Meningkatkan Minat Beli Konsumen Oleh. Universias 17 Agustus Surabaya.
Ginting, S. A. F. (2021). Analisis sentimen dalam evaluasi kepuasan pelanggan terhadap pelayanan jasa transportasi online gojek dan grab. Universitas Sumatera Utara.
Kauffmann, E., Peral, J., Gil, D., Ferrández, A., Sellers, R., & Mora, H. (2019). Managing marketing decision-making with sentiment analysis: An evaluation of the main product features using text data mining. Sustainability (Switzerland), 11(15), 1–19. https://doi.org/10.3390/su11154235
Lazuardi, D. R. (2014). Analisis Sentimen Untuk Mengetahui Persepsi Kualitas Merek Menggunakan Text Mining Dan Social Network Analysis Pada Konten Percakapan Di Media Sosial Twitter. 1–9.
Muhammad Anwar Hawari, N. T. (2021). Analisis tagar pastiadajalan pada promosi media sosial twitter perusahaan gojek menggunakan sna analysis of pastiadajalan tags on twitter social media promotion of gojek company using sna. E-Proceeding of Management, 8(5), 4388–4404.
Mulyana, D. (2008). Metode Penelitian Kualitatif Paradigma Baru Ilmu Komunikasi dan Ilmu Sosial Lainnya. Bandung: PT Remaja Rosdakarya.
Nasrullah, M.Si., D. R. (2018). Riset Khalayak Digital: Perspektif Khalayak Media Dan Realitas Virtual Di Media Sosial. Jurnal Sosioteknologi, 17(2), 271. https://doi.org/10.5614/sostek.itbj.2018.17.2.9
Nurhasah, S., Munandar, J. M., & Syamsun, M. (2018). Faktor-Faktor yang Mempengaruhi Minat Beli Produk Makanan Olahan Halal pada Konsumen. Jurnal Manajemen Dan Organisasi, 8(3), 250–260. https://doi.org/10.29244/jmo.v8i3.22473
Nursastri, S. A. (2014). Bandung, Kota Favorit Wisata Kuliner di Indonesia. Retrieved March 7, 2022, from detikTravel website: https://travel.detik.com/domestic-destination/d-2495847/bandung-kota-favorit-wisata-kuliner-di- indonesia
Pan, L. (2007). Effective and efficient methodologies for social network analysis. 1–139. Retrieved from https://search.proquest.com/docview/1020617197?accountid=14169
Pang, B., & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends® in Information Retrieval, 2(1–2), 1–135. https://doi.org/10.1561/1500000011
Rahma, A. F., Agussalim, & Kartika, D. S. Y. (2021). Analisis Sentimen Hashtag Kuliner Di Indonesia Menggunakan Naive Bayes. Jurnal Informatika Dan Sistem Informasi (JIFoSI), 2(1), 19–25.
Sari, F. V., & Wibowo, A. (2019). Analisis Sentimen Pelanggan Toko Online Jd.Id Menggunakan Metode Naïve Bayes Classifier Berbasis Konversi Ikon Emosi. Jurnal SIMETRIS, 10(2), 681–686.
Yosmita Praptiwi, D. (2018). Analisis Sentimen Online Review Pengguna E-Commerce Menggunakan Metode Support Vector Machine Dan Maximum Entropy.
Zuhri, F. N., & Alamsyah, A. (2017). Menggunakan Naïve Bayes Classifier Di Forum Kaskus Publik Sentiment Analysis Of Smartfren Brand Using Naïve Bayes Classfier On Kaskus Forum. E- Proceeding of Management, 4(1), 242–251.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Jogjakarta Communication Conference (JCC)

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