Analisis Karakteristik Sensor BH1750 Berbasis Mikrokontroler pada Pengukuran Intensitas Cahaya
Keywords:
Accuracy, BH1750, Light Intensity, Linearity, PrecisionAbstract
This study evaluated the performance characteristics of the BH1750 digital light sensor for light intensity measurement in terms of linearity, accuracy, and precision. The measurement system was implemented using an Arduino Uno microcontroller integrated with a BH1750 sensor and an incandescent lamp with adjustable illumination. Experimental results showed that the BH1750 sensor exhibited a linear response to increasing light intensity, particularly at moderate to high illumination levels. The maximum accuracy achieved was 92.28% compared to a standard lux meter, while precision analysis under constant lighting conditions resulted in a precision value of 95.17%. These findings indicate that the BH1750 sensor is suitable as a low-cost digital lux meter for lighting evaluation and Internet of Things (IoT)-based applications, although additional calibration is required to improve accuracy at low light levels.
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Author Biography
Prasepvianto Estu Broto, Universitas Islam Negeri Alauddin Makassar
Physics Instrumentation
References
Abdullah Beyaz, V. G. (2022). Determination of Low-Cost Arduino Based Light Intensity Sensors Effectiveness for Agricultural Applications. Article - Engineering, Technology and Techniques, 65(e22220172).
Barsocchi, P., Calabrò, A., Ferro, E., Gennaro, C., Marchetti, E., Vairo, C., Barsocchi, P., Calabrò, A., Ferro, E., Gennaro, C., Marchetti, E., & Vairo, C. (2018). Boosting a Low-Cost Smart Home Environment with Usage and Access Control Rules. Sensors, 18(6). https://doi.org/10.3390/s18061886
Jannah, M., & Aulia, R. (2025). Implementation of Linear Regression Method in Light Strength Measurement Using GY-30 BH1750 Sensor. 18(1).
Katabaro, J. M., & Yan, Y. (2019). Effects of Lighting Quality on Working Efficiency of Workers in Office Building in Tanzania. Journal of Environmental and Public Health, 2019, 3476490. https://doi.org/10.1155/2019/3476490
Khuriati, A. (2022). Sistem Pemantau Intensitas Cahaya Ambien Dengan Sensor Bh1750 Berbasis Mikrokontroler Arduino Nano. Berkala Fisika, 25(3), 105–110.
Pebralia, J., Fendriani, Y., Afrianto, M. F., & Syaqila, C. N. (2024). Rancang Bangun Sistem Pengukuran Intensitas Cahaya, Suhu, Dan Kelembaban Ruangan Berbasis Sensor DHT11 Dan BH1750. Journal Online Of Physics, 10(1), 37–42. https://doi.org/10.22437/jop.v10i1.38230
Silveira, V. B., Pai, A. D., & Pai, E. D. (2021). Avaliação de desempenho do sensor BH1750FVI (baixo custo) na medida da radiação solar global. Research, Society and Development, 10(14), e170101421779–e170101421779. https://doi.org/10.33448/rsd-v10i14.21779
van Riper, C. J., & Kyle, G. T. (2014). Understanding the internal processes of behavioral engagement in a national park: A latent variable path analysis of the value-belief-norm theory. Journal of Environmental Psychology, 38, 288–297. https://doi.org/10.1016/j.jenvp.2014.03.002
Wahyu, S., Syafaat, M., Yuliana, A., & Meliyani, R. (2021). Aplikasi Sensor BH1750 Untuk Sistem Monitoring Pertumbuhan Tanaman Cabai Menggunakan Arduino Bertenaga Surya Terintegrasi Internet of Things (IoT). Jurnal Teori Dan Aplikasi Fisika, 71–78. https://doi.org/10.23960/jtaf.v9i1.273
Widiana, D. R., Antoro, T. U., & Hasin, K. (2022). Lighting Level Measuring Device Based On Web Using Kalman Filter Method. Journal of Applied Sciences and Advanced Technology, 5(2), 43–50. https://doi.org/10.24853/jasat.5.2.43-50
