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Efficiency and Creativity in The Creative Industry Through the Utilization of Machine Learning (Case Study at CV. Maxiidea Arta Sukses, Surabaya) Satria, Brama Seta Putra; Fadhillah, Is
International Journal Software Engineering and Computer Science (IJSECS) Vol. 3 No. 3 (2023): DECEMBER 2023
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v3i3.1862

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.
PENGARUH PENERAPAN METODE WEBQUAL 4.0 PADA KEPUASAN PENGGUNA WEBSITE BURSA KERJA KHUSUS (BKK) SMK NEGERI 2 SURABAYA Satria, Brama Seta Putra; Iswati
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.405

Abstract

This research explores the significance of SMK Negeri 2 Surabaya's Special Employment Exchange (BKK) website as a valuable support system for students entering the workforce. By digitizing and enhancing the BKK website using the WebQual 4.0 method, the study aims to improve user experience and Quality for job-seeking students. The main objectives include evaluating user satisfaction with the BKK website based on WebQual 4.0 and analyzing the factors that impact the website 's Quality for job searching. The findings revealed that 62% of respondents were highly satisfied and 34% were moderately satisfied with the BKK website . Among the factors influencing user satisfaction, Content (CON) played the most significant role, achieving a satisfaction level of 68.1%, followed by Service Interaction Quality (SIQ) at 22.9%, Usability Quality (USQ) at 8.2%, and Information Quality (INQ) at -12.7%. Overall, the combined variables in the model influenced user satisfaction by 63.9%.