Sistem SOLART Berbasis ESP32 untuk Kendali Otomatis Lampu dan Tirai Berdasarkan Intensitas Cahaya
DOI:
https://doi.org/10.55606/jutiti.v6i2.7623Keywords:
Ambient Light Intensity, Automatic Curtain, Automatic Lighting, Embedded System, ESP32Abstract
Residential lighting and curtains are commonly controlled independently, limiting daylight utilization and increasing reliance on electric lighting. This study developed SOLART, an ESP32-based local embedded system that integrates automatic lamp switching and curtain actuation using ambient light intensity as the control variable. The prototype employed an LDR-LM393 module, a one-channel relay for a 5 W AC lamp, and a BTS7960 motor driver connected to a DC motor. A rule-based threshold of 100 lx was implemented in Arduino IDE with a two-second sampling interval. Functional and electrical tests were conducted on the controller, sensor, relay, motor driver, motor, and lamp. At 70 lx, the system switched the lamp on and closed the curtain; at 220 lx, it switched the lamp off and opened the curtain. The sensor estimates differed from lux-meter readings by 1.43% and 0.45%, respectively. Relay and motor measurements generally showed deviations below 6%. A 19.39% deviation in the BTS7960 control-voltage reading was attributed to the limitation of measuring a switching or PWM signal with a handheld multimeter and therefore requires oscilloscope verification. The results demonstrate functionally consistent dual-actuator local control without internet dependence, although broader calibration, response-time measurement, and long-term energy testing remain necessary.
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Al Ghifari, F., Anjalni, A., Lestari, D., & Al Faruq, U. (2022). Perancangan dan pengujian sensor LDR untuk kendali lampu rumah. Jurnal Kumparan Fisika, 5(2), 85-90. https://doi.org/10.33369/jkf.5.2.85-90
Aussat, Y., Rosmanis, A., & Keshav, S. (2022). A power-efficient self-calibrating smart lighting system. Energy and Buildings, 259, 111874. https://doi.org/10.1016/j.enbuild.2022.111874
Basurto, C., Papinutto, M., Colombo, M., Boghetti, R., Reutter, K., Nembrini, J., & Kämpf, J. H. (2022). Integrating daylight with general and task lighting: A longitudinal in-the-wild study in individual and open space working areas. Solar Energy Advances, 2, 100027. https://doi.org/10.1016/j.seja.2022.100027
Chiradeja, P., & Yoomak, S. (2023). Development of public lighting system with smart lighting control systems and Internet of Things (IoT) technologies for smart city. Energy Reports, 10, 3355-3372. https://doi.org/10.1016/j.egyr.2023.10.027
Fakhruddin, A., Irawan, D., & Agustin, S. (2024). Rancang bangun sistem keamanan pintu rumah berbasis Internet of Things dengan ESP32 dan aplikasi Blynk. E-Link: Jurnal Teknik Elektro dan Informatika, 19(1), 53-59. https://doi.org/10.30587/e-link.v19i1.10770
Fitriyah, L., Ghofur, A., & Lazim, F. (2024). Rancang bangun prototype sistem buka tutup gorden berbasis mikrokontroller Arduino Uno. Seminar Nasional Inovasi Vokasi, 3, 309-317.
Hadikusuma, A. W., Firmansyah, I. M., Ailsa, A. S. Y., Hakim, H. R., Faiq, M. A. M., & Hasanah, H. (2025). Sistem lampu otomatis dengan sensor cahaya. Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB), 572-579. https://doi.org/10.47701/54xgzz35
Kim, C. H., Lee, K. H., & Kim, K. S. (2020). Evaluation of illuminance measurement data through integrated automated blinds and LED dimming controls in a full-scale mock-up. Energies, 13(12), 3238. https://doi.org/10.3390/en13123238
Koo, S. Y., Yeo, M. S., & Kim, K. W. (2010). Automated blind control to maximize the benefits of daylight in buildings. Building and Environment, 45(6), 1508-1520. https://doi.org/10.1016/j.buildenv.2009.12.014
Lee, C.-T., Chen, L.-B., Chu, H.-M., Hsieh, C.-J., & Liang, W.-C. (2022). An Internet of Things (IoT)-based master-slave regionalized intelligent LED-light-controlling system. Applied Sciences, 12(1), 420. https://doi.org/10.3390/app12010420
Mathew, V., Kurian, C. P., & Augustine, N. (2022). Optimizing daylight glare and circadian entrainment in a daylight-artificial light integrated scheme. IEEE Access, 10, 38174-38188. https://doi.org/10.1109/ACCESS.2022.3165023
Munoz, O., Ruelas, A., Rosales, P., Acuña, A., Suastegui, A., & Lara, F. (2022). Design and development of an IoT smart meter with load control for home energy management systems. Sensors, 22(19), 7536. https://doi.org/10.3390/s22197536
Papinutto, M., Boghetti, R., Colombo, M., Basurto, C., Reutter, K., Lalanne, D., Kämpf, J. H., & Nembrini, J. (2022). Saving energy by maximising daylight and minimising the impact on occupants: An automatic lighting system approach. Energy and Buildings, 268, 112176. https://doi.org/10.1016/j.enbuild.2022.112176
Petkovic, M., Bajovic, D., Vukobratovic, D., Machaj, J., Brida, P., McCutcheon, G., Stankovic, L., & Stankovic, V. (2022). Smart dimmable LED lighting systems. Sensors, 22(21), 8523. https://doi.org/10.3390/s22218523
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022). Machine learning methods in smart lighting toward achieving user comfort: A survey. IEEE Access, 10, 45137-45178. https://doi.org/10.1109/ACCESS.2022.3169765
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2023). EdgeSL: Edge-computing architecture on smart lighting control with distilled KNN for optimum processing time. IEEE Access, 11, 64697-64712. https://doi.org/10.1109/ACCESS.2023.3288425
Rahmansyah, A. I., Masluha, S., Haris, A., & Mauliddiansari, A. T. (2023). Implementation of energy-saving lamp with automatic system using LDR sensor (Light Dependent Resistor) combination at village guard posts and mosques in Probolinggo. Empowerment Society, 6(2), 85-92. https://doi.org/10.30741/eps.v6i2.1082
Siregar, K. Y., & Pangaribuan, H. (2025). Desain dan implementasi sistem pengendalian gorden otomatis berbasis Arduino menggunakan sensor Light Dependent Resistor. Computer and Science Industrial Engineering (COMASIE), 12(3), 78-87. https://doi.org/10.33884/comasiejournal.v12i3.9742
Sureshkumar, M. S., Rahul, R., Joshika, S., & Suraj, S. (2024). Internet-of-Things-based smart home energy management system with multi-sensor data fusion. Engineering Proceedings, 66(1), 10. https://doi.org/10.3390/engproc2024066010
Widartha, V. P., Ra, I., Lee, S.-Y., & Kim, C.-S. (2024). Advancing smart lighting: A developmental approach to energy efficiency through brightness adjustment strategies. Journal of Low Power Electronics and Applications, 14(1), 6. https://doi.org/10.3390/jlpea14010006
Xu, B., Hussain, B., Wang, Y., Cheng, H. C., & Yue, C. P. (2022). Smart home control system using VLC and Bluetooth enabled AC light bulb for 3D indoor localization with centimeter-level precision. Sensors, 22(21), 8181. https://doi.org/10.3390/s22218181
Zhang, J., Chen, Z., Wang, A., Li, Z., & Wan, W. (2023). Intelligent personalized lighting control system for residents. Sustainability, 15(21), 15355. https://doi.org/10.3390/su152115355
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