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Journal : The Indonesian Journal of Computer Science

A Meta Analisis Pengaruh Model PjBL terhadap Kemampuan Berpikir Kreatif Peserta Didik Widyastuti, Rini; Jalinus, Nizwardi; Ridwan; Abdullah, Rijal; Krismadinata
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.v13i3.3946

Abstract

The Project Based Learning (PjBL) model is a learning strategy where students work on projects that help solve community/environmental problems. The ability to think at a higher level is a life skill that students must develop to face the challenges of life in the 21st century. One of the abilities at a high level is the ability to think creatively. The aim of this research is to analyze the effect of project-based learning on creative thinking skills. This research method is meta-analysis using a sample of 16 articles from various article sources. The research was conducted using quantitative methods using the OpenMEE application as a measure of effect size. The results of the meta-analysis show that the application of the PjBL model significantly influences students' creative thinking abilities as seen from various subjects and levels of education, from elementary school to college. The average effect size results are in the very high category, which means that the application of the PjBL model in learning influences creative thinking abilities
Efektivitas Pembelajaran Science Technology Engineering and Math (STEM) terhadap Hasil Belajar di Sekolah: Meta Analisis Siregar, Winda Lestari; Syafrijon, Syafrijon; Giatman, Giatman; Ganefri, Ganefri; Krismadinata, Krismadinata; Jalinus, Nizwardi
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.v13i3.3972

Abstract

Education at the high school (SMA) and vocational school (SMK) levels faces challenges in preparing creative and competent students. To address these challenges, a combination of technology is needed in the fields of science, mathematics, and engineering. A study on the implementation of STEM (Science, Technology, Engineering, and Mathematics) in learning in Indonesia. To test its effectiveness, a meta-analysis was conducted which included 25 articles published between 2018 and 2023. The findings showed that STEM learning has a significant role in improving student learning outcomes with an overall effect size of 6,89. Based on the data analysis of the application of the STEM approach, it can develop the ability to solve problems rationally, conduct research, question, collaborate, criticize, analyze and can also improve the ability to access information, adapt to change, make decisions, produce, be responsible, show curiosity, interact in a social and cultural context, and develop leadership and entrepreneurship traits in students. The STEM approach provides a solid foundation for developing a variety of skills and attitudes that are important in facing the challenges and demands of the modern world of students.
Transformation of Students' Career Orientation in the Era of Artificial Intelligence: A Systematic Literature Review Yupelmi, Mimi; Ganefri; Giatman, Muhammad; Krismadinata; Syah, Nurhasan
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.