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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Berkala Ilmu Perpustakaan dan Informasi
Prabowo, Norbertus Krisnu
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Education Library & Information Science

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Arduino-based real-time data acquisition systems: boosting STEM career interest Prabowo, Norbertus Krisnu; Paristiowati, Maria; Irwanto, Irwanto
International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v13i4.27001

Abstract

This study examines the development of an Arduino-based real-time data acquisition system and its effect on secondary students’ STEM career interest (STEM-CIS). A total of 74 students were sampled from a prestigious private school in Jakarta, Indonesia, and a learning device was developed using the A.D.D.I.E. method. A one-group pretest-posttest research design was used to evaluate the effect of using the device during blended classroom activities. Data were collected through surveys using the STEM-CIS instrument and interviews. The study was based on the general practice of using Arduino software and hardware for practical purposes in Chemistry Laboratories and Sick Bay. The setup was successfully used in these different environments as a temperature monitoring system to record thermochemistry data and monitor a patient’s body temperature. The findings are consistent with prior research indicating that hands-on robotics activities can increase STEM interest and inspire students to pursue STEM careers. The results suggest that strong engagement in this activity facilitated the development of digital literacy and STEM skills. The STEM-CIS score at the 5% significance level was significantly increased after the experimentation with the device, with a paired t-test result of p<0.001. The effect size (Cohen’s d) showed a moderate effect of 0.74.
A bibliometric analysis of emerging research directions in food science and technology based on the Dimensions Database (2014–2024) Iriawan, Gabriella; Miah, Lie; Prabowo, Norbertus Krisnu
Berkala Ilmu Perpustakaan dan Informasi Vol 21 No 1 (2025): June
Publisher : Perpustakaan Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bip.v21i1.14547

Abstract

Introduction. This bibliometric study examines publication trends in food science and technology between 2014 and 2024, providing insights into emerging research directions, thematic gaps, and academic productivity. Data Collection Methods. We used the metadata from the Dimensions database identified 9,265 articles, of which 5,650 were selected using the PRISMA protocol. Data Analysis. Statistical analyses were performed using Microsoft Excel and Google Sheets, while VOSviewer was employed to visualize prolific authors, international collaborations, and keyword clusters. Results and Discussion. The publication trend conformed to a polynomial regression model, reaching its peak in 2021. The United States emerged as the most productive contributor country. Four principal interdisciplinary themes have emerged: food chemistry, industrial practices, administration, and social implications. Technologies such as artificial intelligence (AI) and the Internet of Things (IoT) have been shown to enhance agricultural efficiency, food safety, and personalized nutrition, aligning with Industry 4.0 initiatives aimed at sustainable food systems. Conclusion. The findings indicate a future trajectory propelled by technological innovation, especially in fields such as nanotechnology, foodomics, biosensors, and metabolomics. Prominent keywords including AI, IoT, spectroscopy, and chemometrics reflect a move toward increased automation and digitalization within food science and technology.
Co-Authors Iriawan, Gabriella Irwanto Irwanto Maria Paristiowati Miah, Lie