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

doi:10.59329/gawi.v5i2.442

Authors

Aay Susilawati Universitas Muhammadiyah Sukabumi
Zhafira Anazah Universitas Muhammadiyah Sukabumi
Nisa Kartika Universitas Muhammadiyah Sukabumi
Nania Muthmainnah Universitas Muhammadiyah Sukabumi
Reny Yulianti Universitas Negeri Semarang
Dustnazar Omonovich Khimmataliev Chirchik State Pedagogical University

DOI:

https://doi.org/10.59329/gawi.v5i2.442

Keywords:

Arduino UNO, Automatic Lighting, LDR, Light Sensor, Photosynthesis

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.

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