EFEKTIVITAS CHATGPT DALAM STRATEGI PEMASARAN KONTEN PADA USAHA MIKRO KECIL MENENGAH (UMKM) KOTA MEDAN
DOI:
https://doi.org/10.54314/jssr.v8i4.4392Abstract
Abstract:The development of artificial intelligence since 2020 has had a significant impact on business practices, including digital marketing. One innovation in AI, ChatGPT, enables the rapid, creative, and audience-tailored automated creation of marketing content. The purpose of this study is to assess the effectiveness of ChatGPT in supporting content marketing strategies for micro, small, and medium enterprises in Medan. This study employed a mixed-method approach, using a quantitative approach through a Likert scale questionnaire to evaluate perceptions of effectiveness, as well as a qualitative approach involving in-depth interviews and content analysis of promotions before and after the use of ChatGPT. The research subjects consisted of MSMEs engaged in the culinary, fashion, and handicraft sectors in the city of Medan. Data analysis was conducted using descriptive statistics and effectiveness testing for quantitative data, as well as thematic analysis for qualitative data. It is hoped that the results of this study will show that the application of ChatGPT can improve content quality, audience interaction, and efficiency in marketing strategies, despite challenges such as a lack of digital literacy and limited resources. This study is expected to contribute theoretically to AI-based digital marketing literature and serve as a practical guide for MSMEs to optimise their content marketing strategies by utilising ChatGPT.
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Keywords: ChatGPT; content marketing; SMEs; artificial intelligence; digital strategy.
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Abstrak: Perkembangan kecerdasan buatan (AI) sejak 2020 telah membawa perubahan besar dalam praktik bisnis, termasuk strategi pemasaran digital. Salah satu inovasi AI, ChatGPT, memungkinkan pembuatan konten pemasaran secara otomatis dengan cepat, kreatif, dan sesuai kebutuhan audiens. Penelitian ini bertujuan untuk mengevaluasi efektivitas ChatGPT dalam mendukung strategi pemasaran konten pada Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Medan. Penelitian menggunakan metode campuran (mixed methods), dengan pendekatan kuantitatif melalui kuesioner skala Likert untuk menilai persepsi efektivitas, serta pendekatan kualitatif melalui wawancara mendalam dan analisis konten promosi sebelum dan sesudah penggunaan ChatGPT. Subjek penelitian terdiri dari UMKM di sektor kuliner, fashion, dan kerajinan di Kota Medan. Data dianalisis menggunakan statistik deskriptif dan uji efektivitas untuk data kuantitatif, serta analisis tematik untuk data kualitatif. Hasil diharapkan menunjukkan bahwa pemanfaatan ChatGPT dapat meningkatkan kualitas konten, interaksi audiens, dan efisiensi strategi pemasaran, meskipun terdapat kendala seperti literasi digital dan keterbatasan sumber daya. Penelitian ini memberikan kontribusi teoretis pada literatur pemasaran digital berbasis AI dan panduan praktis bagi UMKM dalam mengoptimalkan strategi pemasaran konten menggunakan ChatGPT.
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Kata kunci: ChatGPT; pemasaran konten; UMKM; kecerdasan buatan; strategi digital.Downloads
References
Mariani, M. M., & Borghi, M. (2021). Artificial intelligence in business: State of the art and future research agenda. Journal of Business Research, 129, 902–920. https://doi.org/10.1016/j.jbusres.2020.11.001
Chen, L., Jiang, M., Jia, F., & Liu, G. (2022). Artificial intelligence adoption in business-to-business marketing: Toward a conceptual framework. Journal of Business & Industrial Marketing, 37(5), 1025–1044. https://doi.org/10.1108/JBIM-09-2020-0448
Blom, A., Holmqvist, J., Wirtz, J., & Patterson, P. (2023). Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2023.103362
Muhardono, A., Nurhayati, F., & Wijayanti, A. (2024). Pelatihan optimalisasi konten marketing menggunakan aplikasi artificial intelligence (AI) bagi UMKM Kampoeng Batik Kauman Pekalongan. I-Com: Indonesian Community Journal. Retrieved from https://ejournal.uniramalang.ac.id/i-com/article/view/5108
Haryanto, W., Astuti, W., Kholidah, N., & Lestari, D. (2024). Meningkatkan efisiensi konten UMKM melalui teknologi AI: Penerapan ChatGPT untuk pemasaran digital produk UMKM Kabupaten Sukoharjo. Abdi Teknoyasa. Retrieved from https://journals2.ums.ac.id/abditeknoyasa/article/view/7068
Aprieni, Meilantika, F. R., Sihotang, L., & Rachma, F. V. (2024). UMKM memiliki peran penting dalam perekonomian Indonesia. Jurnal Ekonomi Bisnis dan Manajemen, 2(4), 188–193. https://doi.org/10.59024/jise.v2i4.976
Situngkir, J., Harahap, L. M., Wijay, R. A., Simanungkalit, N. A., & Abdillah, A. I. (2024). Peran UMKM dalam mendorong pertumbuhan ekonomi Indonesia. PESTEL Management and Marketing Journal.
Wati, D. L., Septianingsih, V., Khoeruddin, W., & Al-Qorni, Z. Q. (2024). Peranan UMKM (Usaha Mikro, Kecil dan Menengah) dalam meningkatkan perekonomian Indonesia. Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi, 3(1), 265–282. https://doi.org/10.61930/jebmak.v3i1.576
Wicaksono, D. A., Yulianto, H., Rahmawati, F. M., & Faizah, E. I. (2024). Peran kecerdasan buatan dalam meningkatkan efisiensi dan efektivitas strategi pemasaran omnichannel pada UMKM di Kota Semarang. Jurnal Manajemen STIE Muhammadiyah Palopo.
Fraiwan, M., & Khasawneh, N. (2023). A review of ChatGPT applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions. arXiv.
Sohail, S. S., Farhat, F., Himeur, Y., Nadeem, M., Madsen, D. Ø., Singh, Y., Atalla, S., & Mansoor, W. (2023). Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions. arXiv.
Nasution, W. A., & Lubis, D. S. W. (2024). Optimalisasi digital marketing berbasis AI untuk UMKM: Menjawab tantangan dan peluang di era 5.0. Prosiding Seminar Nasional Sosial, Humaniora, dan Teknologi.
Creswell, J. W., & Plano Clark, V. L. (2021). Designing and conducting mixed methods research (3rd ed.). SAGE Publications.
Wati, D. L., Septianingsih, V., Khoeruddin, W., & Al-Qorni, Z. Q. (2024). Peranan UMKM (Usaha Mikro, Kecil dan Menengah) dalam meningkatkan perekonomian Indonesia. Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi, 3(1), 265–282. https://doi.org/10.61930/jebmak.v3i1.576
Joshi, A., Kale, S., Chandel, S., & Pal, D. K. (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/BJAST/2015/14975
Rahman, M. S., Karim, R., & Sultana, R. (2021). Using Likert scale in social science research: Advantages, limitations, and recommendations. International Journal of Research in Humanities and Social Studies, 8(5), 10–15.
Mohajan, H. K. (2022). Qualitative research methodology in social sciences and related subjects. Journal of Economic Development, Environment and People, 11(1), 23–https://doi.org/10.26458/jedep.v11i1.722
Krippendorff, K. (2019). Content analysis: An introduction to its methodology (4th ed.). SAGE Publications.
Taherdoost, H. (2019). What is the best response scale for survey and questionnaire design; review of different lengths of rating scale/attitude scale/Likert scale. International Journal of Academic Research in Management, 8(1), 1–10.
Hair, J. F., Page, M., & Brunsveld, N. (2020). Essentials of business research methods. Routledge.
Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications.




