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All Journal Gawi: Journal of Action Research ASEAN Journal of Educational Research and Technology
Aay Susilawati
Universitas Muhammadiyah Sukabumi
Education Social Sciences Other

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How to Do Research in Science and Engineering Education: A Methodological Framework with Lessons Learned from Common Research Failures, Bibliometric Analysis, and Practical Insights Aay Susilawati; Sri Rosalin Nandiyanti; Noor Azwadi Che Siddik; Asep Bayu Dani Nandiyanto
ASEAN Journal of Educational Research and Technology Vol 4, No 3 (2025): AJERT: VOLUME 4, ISSUE 3, December 2025
Publisher : Bumi Publikasi Nusantara

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Abstract

This paper presents a practical guide for improving research quality in science and engineering education based on lessons learned from real manuscript revision processes. Although many researchers aim to conduct studies in this field, research quality is often weakened by misalignment between stated scope, scientific content, engineering processes, and methodological descriptions. This study analyzes several research manuscripts that underwent academic coaching and were successfully revised and published in reputable journals, completed with a bibliometric analysis. Research quality can be significantly improved without altering core research designs, but through clearer articulation of scientific concepts, explicit description of engineering or technological interventions, and stronger alignment between methodology and research objectives. This paper offers actionable and experience-based guidance for researchers seeking to produce more rigorous, coherent, and impactful studies in science and engineering education.
Smart Photosynthesis: A Light Sensor-Based Automatic Lighting System for Plant Growth Optimization as a Learning Media Aay Susilawati; Zhafira Anazah; Nisa Kartika; Nania Muthmainnah; Reny Yulianti; Dustnazar Omonovich Khimmataliev
Gawi: Journal of Action Research Vol. 5 No. 2 (2025)
Publisher : Borneo Research and Education Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59329/gawi.v5i2.442

Abstract

This study presents the development of an automated lighting system based on light sensors to support optimal photosynthesis in plants, particularly in low-light environments. Employing a Design-Based Research (DbR) methodology, the system was simulated using the Thinkercad Circuits platform. The prototype integrates a Light Dependent Resistor (LDR), an Arduino UNO microcontroller, and light-emitting diodes (LEDs) as artificial light sources. The simulation results demonstrate the system's ability to detect ambient light intensity in real time and activate or deactivate the lighting mechanism accordingly, based on a calibrated threshold. The findings suggest that such automation can maintain consistent light availability for plants, enhancing photosynthetic efficiency. This approach offers a cost-effective and scalable solution for smart agriculture applications, particularly in urban farming, greenhouse environments, and educational contexts. The system also holds promise for future integration into energy-efficient precision farming technologies.
Co-Authors Asep Bayu Dani Nandiyanto Dustnazar Omonovich Khimmataliev Nania Muthmainnah Nisa Kartika Noor Azwadi Che Siddik Reny Yulianti Sri Rosalin Nandiyanti Zhafira Anazah