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All Journal Jurnal Sains Teknologi dan Sistem Informasi Jurnal Manajemen dan Bisnis
Agung Indriansyah
Politeknik Prasetiya Mandiri
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Sosio-Teknikal Disrupsi AI: Transformasi Arsitektur Pembelajaran dari Digital Assistance Menuju Human-Machine Co-Evolution di Pendidikan Vokasi Dita Rahmawati; Sinta Bella Agustina; Agung Indriansyah; Ilsa Palingga Ninditama; M Bambang Purwanto
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 6 No. 1 (2026): April 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v6i1.7351

Abstract

This study aims to analyze the impact of artificial intelligence (AI) disruption on the shift in learning paradigms in Indonesian higher education, particularly at Prasetiya Mandiri Polytechnic PSDKU Palembang. The global phenomenon demonstrates that AI has become a disruptive force, serving not only as an administrative tool but also as a collaborative partner in the teaching and learning process. This study employs a descriptive, qualitative approach, drawing on phenomenological methods, to understand the experiences of lecturers and students in their interactions with AI. Data was collected through in-depth interviews, observations of digital activities, and documentation studies from UNESCO, OECD, and Ministry of Education and Culture reports. The data analysis was carried out thematically, focusing on four main themes: digital assistance, changing learning patterns, human–AI collaboration, and ethical challenges in education. The results indicate that AI integration has enhanced learning efficiency, increased student participation, and fostered independent learning. However, negative impacts were also observed, including technology dependence, a decline in critical thinking skills, and the emergence of ethical dilemmas related to plagiarism and algorithmic bias. This research emphasizes that AI should be placed not as a substitute for educators, but as a collaborative partner that enriches the humanistic learning process. It is necessary to strengthen digital literacy, AI ethics, and an adaptive curriculum grounded in human-machine synergy so that educational transformation in the era of technological disruption can occur in a sustainable and equitable manner.
Analisis Efektivitas Program Pengembangan SDM dan Dampaknya terhadap Kualitas Pelayanan Publik di Era Transformasi Digital Ahmad Yani Kosali; Agung Indriansyah; Sherly Malini; Hatidah Hatidah; M Bambang Purwanto
MANABIS: Jurnal Manajemen dan Bisnis Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/manabis.v5i2.7662

Abstract

The rapid advancement of digital transformation demands that service organizations continuously strengthen their human resource capacity as the cornerstone of competitive service quality. This study analyzes the effectiveness of human resource (HR) development programs and their impact on public service quality at PT Writelab Indonesia, a multi-division service company operating in book printing, clothing/uniform distribution, and non-formal education training. Using a quantitative, descriptive-analytical approach and a survey method, all 20 employees of PT Writelab Indonesia served as respondents via a total sampling technique. Data were collected using a Likert-scale questionnaire that had been tested for validity and reliability, and analyzed using simple linear regression, t-tests, and the coefficient of determination. Results indicate that the effectiveness of HR development programs was rated Good (mean = 3.56), with training material relevance scoring highest and post-training evaluation scoring lowest. Public service quality was also rated Good (mean = 3.74), with tangibles scoring highest and empathy requiring the most improvement. Hypothesis testing confirmed a positive and significant influence between the two variables, with a t-value of 7.315 > t-table (2.101) and a significance value of 0.000 < 0.05. The R² value of 0.707 indicates that 70.7% of the variation in public service quality is explained by HR development program effectiveness. This study recommends strengthening post-training evaluation systems and integrating digital technology into corporate HR management practices.
Co-Authors Ahmad Yani Kosali Dita Rahmawati Hatidah Hatidah Ilsa Palingga Ninditama M Bambang Purwanto Sherly Malini Sinta Bella Agustina