PROTOTIPE SISTEM MONITORING DAN KONTROL PEMBERSIH PANEL SURYA BERBASIS IOT

MUHAMMAD DHIYAA' MARDA, . (2026) PROTOTIPE SISTEM MONITORING DAN KONTROL PEMBERSIH PANEL SURYA BERBASIS IOT. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Panel surya merupakan salah satu sumber energi terbarukan yang kinerjanya dapat menurun akibat penumpukan debu pada permukaan panel. Proses pembersihan secara manual membutuhkan waktu dan tenaga sehingga diperlukan sistem pembersihan otomatis yang mampu bekerja sesuai kondisi panel. Penelitian ini bertujuan merancang dan membangun sistem monitoring dan kontrol pembersih panel surya berbasis Internet of Things (IoT) menggunakan ESP32 dan metode Logika Fuzzy Mamdani. Sistem menggunakan empat sensor TCS34725 untuk mendeteksi perubahan permukaan panel surya, sensor BH1750 untuk mengukur intensitas cahaya, sensor INA219 untuk mengukur tegangan, arus, dan daya panel surya, serta sensor hujan untuk mendeteksi kondisi hujan. Data sensor diproses menggunakan metode Fuzzy Mamdani melalui tahapan fuzzifikasi dengan fungsi keanggotaan trapesium, inferensi berdasarkan 12 aturan IF–THEN, dan defuzzifikasi metode centroid untuk menentukan durasi kerja pompa air DC. Data hasil monitoring dikirim secara real-time ke platform ThingSpeak sehingga kondisi panel surya dan status sistem dapat dipantau melalui jaringan internet. Hasil pengujian menunjukkan bahwa sensor INA219 memiliki rata-rata error sebesar 1,35% untuk tegangan, 2,04% untuk arus, dan 3,31% untuk daya, sedangkan sensor BH1750 memiliki rata-rata error sebesar 0,57%. Sensor TCS34725 mampu membedakan kondisi panel bersih dan kotor berdasarkan perubahan nilai RGB dan Clear, serta sensor hujan mampu mendeteksi kondisi basah dan kering dengan baik. Sistem berhasil melakukan monitoring dan mengendalikan proses pembersihan secara otomatis berdasarkan parameter efisiensi panel surya, konsistensi lux, dan perubahan permukaan panel. Implementasi Logika Fuzzy Mamdani menghasilkan keputusan Tidak Aktif, Singkat, Cukup, dan Lama sesuai dengan rule base yang dirancang sehingga sistem mampu melakukan pembersihan panel surya secara adaptif. Kata kunci: panel surya, Internet of Things, ESP32, Logika Fuzzy Mamdani, ThingSpeak, pembersihan panel surya. ***** Solar panels are a type of renewable energy source whose performance can decline due to dust buildup on their surfaces. Manual cleaning is time-consuming and labor-intensive, so an automated cleaning system capable of operating according to the condition of the panels is needed. This study aims to design and build an Internet of Things (IoT)-based monitoring and control system for solar panel cleaning using the ESP32 and the Mamdani Fuzzy Logic method. The system uses four TCS34725 sensors to detect changes in the surface of the solar panel, a BH1750 sensor to measure light intensity, an INA219 sensor to measure the voltage, current, and power of the solar panel, and a rain sensor to detect rainfall. Sensor data is processed using the Mamdani fuzzy method through the stages of fuzzification with a trapezoidal membership function, inference based on 12 IF–THEN rules, and defuzzification using the centroid method to determine the operating duration of the DC water pump. The monitoring data is transmitted in real time to the ThingSpeak platform so that the condition of the solar panels and the system status can be monitored via the internet. Test results show that the INA219 sensor has an average error of 1.35% for voltage, 2.04% for current, and 3.31% for power, while the BH1750 sensor has an average error of 0.57%. The TCS34725 sensor is capable of distinguishing between clean and dirty panel conditions based on changes in the RGB and Clear values, and the rain sensor is able to reliably detect wet and dry conditions. The system successfully monitors and controls the cleaning process automatically based on solar panel efficiency parameters, lux consistency, and changes in the panel surface. The implementation of Mamdani Fuzzy Logic results in decisions of “Inactive,” “Short,” “Moderate,” and “Long” in accordance with the designed rule base, enabling the system to clean the solar panels adaptively. Keywords: solar panels, Internet of Things, ESP32, Mamdani Fuzzy Logic, ThingSpeak, solar panel cleaning.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Syufrijal, S.T., M.T. ; 2). Nur Hanifah Yuninda, S.T., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Mesin, Mekanika Teknik Teknologi dan Ilmu Terapan > Teknik Komputer
Divisions:	FT > D IV Teknologi Rekayasa Otomasi
Depositing User:	Muhammad Dhiyaa' Marda .
Date Deposited:	03 Aug 2026 07:32
Last Modified:	03 Aug 2026 07:32
URI:	http://repository.unj.ac.id/id/eprint/67314

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