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The Effectiveness of the Technopark Program in Efforts to Prepare Start-Up Business Aprilia, Hariani; Widiyanti, Widiyanti; Nurhadi, Didik
JPP (Jurnal Pendidikan dan Pembelajaran) Vol 28, No 2 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um047v28i22021p079

Abstract

One of the government's commitments to improve the quality of the workforce in Indonesia is to develop vocational education and training through the technopark program. The purpose of the study was to determine the effectiveness of the technopark program at SMK Negeri 3 Malang.The research method uses a qualitative approach with indicators: efford, cost efficiency, result and impact. Data analysis using the Miles and Huberman model includes: reduction, display and verification. The results of this study revealed that the implementation of the technopark program at SMK Negeri 3 Malang was quite successful in increasing the number of entrepreneurs.
Workforce needs in the fashion industry: Relevance to the vocational fashion design curriculum Nafiah, Annisau; Sugandi, R. Machmud; Aprilia, Hariani; Ning Tiasari, Wulidah; Binti Kamis, Arasinah; Aris, Asliza
Jurnal Pendidikan Vokasi Vol. 15 No. 1 (2025): February
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i1.85834

Abstract

The rapid transformation of the fashion industry due to digitalization and globalization has significantly reshaped the competencies required of its workforce. This study aimed to analyze the essential skills demanded by fashion industry stakeholders, assess the relevance of the Tata Busana (Fashion Design) vocational curriculum to these industry needs, and examine the correlation between educational content and industry expectations. Employing a quantitative approach with survey and document analysis methods, data were collected from 96 respondents comprising fashion industry practitioners, vocational teachers, and alumni. The findings indicate that the industry prioritizes a hybrid competency set—advanced technical skills, digital fluency (e.g., computer-aided design and 3D fashion design software), soft skills, and entrepreneurial acumen. However, the current vocational curriculum remains moderately relevant (mean = 3.88), with significant gaps in digital and entrepreneurship integration. Pearson correlation analysis reveals a very strong and statistically significant relationship (r = 0.952, p < 0.01) between curriculum content and industry expectations. These results underscore the urgency of adopting a demand-driven, digitally oriented, and industry-partnered curriculum reform. The study offers valuable insights for policymakers, educators, and curriculum developers seeking to enhance graduate employability and align vocational education with the evolving dynamics of the fashion sector.
Study on the Use of AI Technology in Completing Theoretical Assignments for Fashion Design Students Kholifah, Siti; Sintawati, Esin; Irianti, Agus Hery Supadmi; Aini, Nurul; Aprilia, Hariani
ETDC: Indonesian Journal of Research and Educational Review Vol. 5 No. 2 (2026): March
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/ijrer.v5i2.4507

Abstract

This study was motivated by the increasing use of Artificial Intelligence (AI) technology in learning. The development of this technology raises the question of whether the use of AI technology is more likely to have a positive impact or a predominantly negative impact. The purpose of this study is to describe the use of AI technology in competing theoretical assignments by students in the Fashion Design Education undergraduate program. This study uses a descriptive quantitative approach. This research involved a population of 173 Fashion Design Education undergraduate students from the 2023-2024 cohort, and a sample of 121 respondents was obtained through purposive sampling. The research instrument was a questionnaire that had been tested for validity and reliability. Data analysis used tabulation and frequency distribution to describe trends in AI utilization in several aspects. The results show that the use of AI technology in completing theoretical assignments range from moderate to very high category, indicating that AI was used quite intensively by students to support their academic activities. Thus, it can be concluded that AI technology serves as a tool used by students to support the completion of theoretical assignments.