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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) The Indonesian Journal of Computer Science
Krismadinata
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Physics

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Transformation of Students' Career Orientation in the Era of Artificial Intelligence: A Systematic Literature Review Mimi Yupelmi; Ganefri; Muhammad Giatman; Krismadinata; Nurhasan Syah
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4078

Abstract

This research revolves around the challenges faced by students in aligning their career orientation with demands and changes, as many traditional jobs are threatened by AI technology. The aim of this study is to identify trends in the transformation of students' career orientation in the era of Artificial Intelligence (AI), map the career challenges for students in the AI era, analyze the skills and competencies required, and assess the role of educational institutions in supporting this career transformation. The research method applied in this study is a systematic literature review. The initial stages involve collecting literature sources from scholarly databases and proceeding with a screening process to select literature relevant to the research focus. Finally, in-depth analysis of selected literature is conducted to identify patterns, trends, and key points related to the research topic. The results of the study describe that the development of AI technology has a significant impact on students' career orientation in higher education. Furthermore, students also face career challenges such as competition with technology, uncertainty about future employment, and skills gaps. To address these challenges, students need to develop technical AI skills, ethical AI understanding, problem-solving abilities, and continuous learning skills to succeed in the AI job market. On the other hand, higher education institutions should play a proactive role in addressing these challenges by developing relevant curricula, organizing training sessions, collaborating with industries, and enhancing AI learning facilities. Further research is suggested to focus on the implementation of these strategies in the specific context of higher education institutions and evaluate their impact on student career preparedness in the evolving AI era.
Training Evaluation Using Kirkpatrick Evaluation Model for Well Intervention Pressure Control Training Karnando; Krismadinata; Ambiyar; M. Giatman
Jurnal Penelitian Pendidikan IPA Vol 11 No 3 (2025): March
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i3.10675

Abstract

This study aims to evaluate the effectiveness of Well Intervention Pressure Control training using the Kirkpatrick Evaluation Model which includes four levels: Reaction, Learning, Behavior, and Outcomes. The research method used was a mixed methods approach combining quantitative and qualitative methods. The evaluation was conducted on 62 trainees working in the oil and gas sector, with a randomly selected sample. The results showed that the training was successful in improving participants' understanding of the training material, including pressure control procedures, as well as other technical skills. At the Reaction level, the majority of participants responded positively to the materials and teaching. At the Learning level, there was a significant increase in pre-test and post-test scores, indicating the success of the training in improving participants' knowledge. At the Behavior level, participants successfully applied the skills learned in real field situations, while at the Outcome level, the training was shown to improve operational performance and safety. In conclusion, the training successfully met its objectives of enhancing participants' technical skills and professional attitudes, and contributed to improved organizational performance, especially in terms of safety and operational efficiency in the oil and gas industry.
Co-Authors Abdullah, MT, Dr. Rijal Ambiyar, Ambiyar Ganefri . Karnando Mimi Yupelmi Nizwardi Jalinus Nurhasan Syah Ridwan Rini Widyastuti