Published: 2023-12-20
Efficiency and Creativity in The Creative Industry Through the Utilization of Machine Learning (Case Study at CV. Maxiidea Arta Sukses, Surabaya)
DOI: 10.35870/ijsecs.v3i3.1862
Brama Seta Putra Satria, Is Fadhillah
- Brama Seta Putra Satria: Sekolah Tinggi Ilmu Ekonomi Internasional Business Management (STIE IBMT)
- Is Fadhillah: Sekolah Tinggi Ilmu Ekonomi Internasional Business Management (STIE IBMT)
Abstract
The creative industry in Indonesia is a key contributor to economic growth, and technology, particularly Machine Learning, is playing a crucial role in its transformation. This research focuses on the impact of Machine Learning implementation in the creative industry, specifically at CV. Maxiidea Arta Sukses in Surabaya, and aims to understand its effects on efficiency and creativity. By using qualitative methods such as observation, interviews, and literature study, the research examines the improvements in efficiency for social media specialists, the impact on creativity in digital marketing, and the potential barriers to implementation. The findings provide valuable insights into employee perceptions of Machine Learning technology and its potential contribution to performance. Ultimately, this research sheds light on the evolving role of technology in the creative industry and its implications for businesses in Indonesia.
Keywords
Creative Industry ; Machine Learning ; Digital Marketing ; Social Media Specialist
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Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 3 No. 3 (2023)
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Section: Articles
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Published: December 20, 2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/ijsecs.v3i3.1862
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Brama Seta Putra Satria
Sekolah Tinggi Ilmu Ekonomi Internasional Business Management (STIE IBMT), Surabaya City, East Java Province, Indonesia
Is Fadhillah
Sekolah Tinggi Ilmu Ekonomi Internasional Business Management (STIE IBMT), Surabaya City, East Java Province, Indonesia
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Moleong, L.J., 2011. Metodologi Penelitian Kualitatif. Bandung: PT Remaja Rosdakarya.
-
Sugiyono, 2007. Metode Penelitian Kuantitatif Kualitatif dan R & D. Bandung: Elfabeta.
-
Rahman, A., 2016. Evaluasi Kesuksesan E-Government: Studi Kasus di Kabupaten Sleman dan Kabupaten Tulungagung. Jurnal Akuntansi dan Auditing Indonesia, 15(2).
-
Géron, A., 2017). Hands-On Machine Learning with Scikit-Learn and TensorFlow. O'Reilly Media.
-
Fadhillah, I., 2019. Studi literatur: Pengertian, Langkah, dan Keuntungannya. Jurnal Ilmu Administrasi Bisnis, 8(1), 87-97.
-
Corbin, J., & Strauss, A., 2008. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. Thousand Oaks, CA: Sage Publications.
-
Sternberg, R. J., & Lubart, T. I., 1999. The Concept of Creativity: Prospects and Paradigms. In R. J. Sternberg (Ed.), Handbook of Creativity (pp. 3–15). Cambridge University Press.
-
Joseph, J., 1992. Total Quality Management: Texts, Cases and Readings. Pearson Education.
-
Sulistyowati, A., Prahani, B. K., & Susanto, A., 2016. Dinamika Kreativitas dalam Pembelajaran Abad ke-21. Jurnal Pendidikan IPA Indonesia, 5(1), 26-34.
-
Sutopo, P., & Prasetyo, B. P., 2017. Potensi dan Tantangan Industri Kreatif di Indonesia: Sebuah Tinjauan Kritis. Jurnal Ekonomi Pembangunan, 18(1), 1-18.DOI: https://doi.org/10.14203/jep.18.1.2017.
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