JOHANNES, . (2025) RANCANG BANGUN SISTEM PENJEJAK CAHAYA MATAHARI OTOMATIS BERBASIS ESP32 DAN LDR PADA PANEL SURYA. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.
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Abstract
Pertumbuhan kebutuhan energi listrik di Indonesia menuntut pemanfaatan energi terbarukan secara lebih optimal. Energi surya menjadi salah satu alternatif yang potensial, namun sistem panel surya statis memiliki keterbatasan karena tidak mengikuti pergerakan harian matahari, sehingga efisiensinya rendah. Penelitian ini bertujuan untuk merancang dan membangun sistem penjejak cahaya matahari otomatis satu sumbu berbasis ESP32 dan sensor LDR guna meningkatkan penyerapan energi cahaya matahari pada panel surya. Sistem dilengkapi dengan motor linear actuator sebagai penggerak panel, sensor sudut MPU6050, serta sensor arus dan tegangan untuk pemantauan kinerja sistem. Fitur Internet of Things (IoT) diintegrasikan menggunakan platform ThingSpeak untuk pengiriman dan pemantauan data secara real-time. Hasil pengujian menunjukkan bahwa sistem mampu mengikuti arah matahari secara otomatis berdasarkan perbedaan intensitas cahaya, menghasilkan daya puncak 22,28 W pada pukul 11:30, serta daya rata-rata sebesar 14,65 W. Dibandingkan panel statis, sistem ini menunjukkan kinerja yang lebih stabil dan efisien sepanjang hari. Dengan demikian, sistem penjejak ini efektif digunakan pada aplikasi panel surya skala kecil untuk meningkatkan efisiensi energi. ***** The growing demand for electrical energy in Indonesia necessitates the optimal utilization of renewable energy sources. Solar energy is one of the most promising alternatives; however, static solar panel systems have limitations due to their inability to follow the sun’s daily movement, resulting in lower efficiency. This study aims to design and develop a one-axis automatic solar tracking system based on the ESP32 microcontroller and LDR sensors to increase solar energy absorption. The system is equipped with a linear actuator motor as the panel driver, an MPU6050 tilt sensor, as well as current and voltage sensors to monitor system performance. An Internet of Things (IoT) feature is integrated using the ThingSpeak platform for real-time data transmission and monitoring. Test results show that the system can automatically follow the sun’s direction based on light intensity differences, achieving a peak power output of 22.28 W at 11:30 AM and an average power output of 14.65 W. Compared to a static panel, the system demonstrates more stable and efficient performance throughout the day. Therefore, the solar tracking system is effective for small-scale solar panel applications to improve energy efficiency.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Additional Information: | 1). Drs. Readysal Monantun, M.Pd. ; 2). Mochammad Djaohar, M.Sc. |
| Subjects: | Teknologi dan Ilmu Terapan > Teknik Energi > Energi Listrik |
| Divisions: | FT > S1 Pendidikan Teknik Elektro |
| Depositing User: | Johannes . |
| Date Deposited: | 07 Aug 2025 07:04 |
| Last Modified: | 07 Aug 2025 08:07 |
| URI: | http://repository.unj.ac.id/id/eprint/58789 |
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