Rancang Bangun Sistem Monitoring Variabel Fisis Pada Prototipe Lampu Penerangan Jalan Berbasis Hybrid Solar-Wind Menggunakan IoT

Luthfi, Hazim Ahmad (2025) Rancang Bangun Sistem Monitoring Variabel Fisis Pada Prototipe Lampu Penerangan Jalan Berbasis Hybrid Solar-Wind Menggunakan IoT. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tingginya permintaan akan energi listrik di Indonesia telah menyoroti kebutuhan mendesak untuk mengeksplorasi alternatif yang berkelanjutan terhadap pembangkit listrik konvensional. Salah satu energi alternatif yang dapat dieksplorasi yaitu dengan integrasi sistem hybrid solar-wind, terutama dalam konteks lampu penerangan jalan. Perancangan lampu penerangan berbasis hybrid solar-wind membutuhkan integrasi sensor fisis untuk memantau faktor yang mempengaruhi kinerja photovoltaic dan turbin angin. Untuk mengonsolidasi dan mengelola data dari sensor fisis, Mikrokontroler ESP32 digunakan sebagai modul konektivitas berbasis Wi-Fi. Juga digunakan sistem pemantauan berbasis aplikasi android dan LCD monitor sehingga pemantauan dapat dilakukan secara online maupun on-site. Hasil pengujian karakteristik sensor menunjukkan karakteristik sensor suhu udara DHT11 untuk nilai ketidakpastian diperluas sebesar ±1.2 ºC. Sensor kecepatan angin anemometer menunjukkan nilai ketidakpastian diperluas sebesar ±0.2 m/s. Sensor intensitas cahaya BH1750 menunjukkan nilai ketidakpastian diperluas sebesar ±5.2 lux. Sensor tekanan udara HX711b menunjukkan nilai ketidakpastian diperluas sebesar ±4,8 hpa. Sensor kelembapan udara BME280 menunjukkan nilai ketidakpastian diperluas sebesar ± 1,8% RH. Sensor gyrometer MPU6050 menunjukkan nilai ketidakpastian diperluas sebesar ± 4,4º. Uji performansi sistem menunjukkan nilai delay, packet loss dan jitter dinilai sangat baik, sedangkan nilai throughput dinilai kurang baik. Hasil pengujian sensor fisis pada sistem monitoring per tanggal 18 Januari 2025 yaitu intensitas cahaya rata-rata sebesar 23455 lux, suhu rata-rata sebesar 28.81°C, tekanan udara rata-rata sebesar 1006.36 hpa, kecepatan angin rata-rata sebesar 0,90 m/s, kelembapan udara rata-rata sebesar 63,59%, dan elevasi maksimum pada solar tracker sebesar 76,790.
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The increasing demand for electrical energy in Indonesia has highlighted the urgent need to explore sustainable alternatives to conventional power plants. One such alternative that can be explored is the integration of a hybrid solar-wind system, particularly in the context of street lighting. The design of hybrid solar-wind-based street lighting requires the integration of physical sensors to monitor factors affecting the performance of photovoltaic systems and wind turbines. To consolidate and manage data from these physical sensors, the ESP32 microcontroller is utilized as a Wi-Fi-based connectivity module. Additionally, an Android-based monitoring application and an LCD monitor are employed, enabling both online and on-site monitoring. The results of sensor characteristic testing revealed the following expanded uncertainty values: ±1.2°C for the DHT11 air temperature sensor, ±0.2 m/s for the anemometer wind speed sensor, ±5.2 lux for the BH1750 light intensity sensor, ±4.8 hPa for the HX711b air pressure sensor, ±1.8% RH for the BME280 air humidity sensor, and ±4.4° for the MPU6050 gyrometer sensor. System performance testing indicated excellent results for delay, packet loss, and jitter, while throughput was rated as less satisfactory. The results of physical sensor testing on the monitoring system as of January 18, 2025, showed an average light intensity of 23,455 lux, an average temperature of 28.81°C, an average air pressure of 1006.36 hPa, an average wind speed of 0.90 m/s, an average air humidity of 63.59%, and a maximum elevation of the solar tracker at 76.79°.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Internet of Things, Karakteristik Sensor, Ketidakpastian Pengukuran, Performansi Jaringan, Monitoring, Network Performance, Sensor Characteristics, Uncertainty Measurement, Monitoring
Subjects:	Q Science > QA Mathematics > QA76.774.A53 Android Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC271.8.C3 Calibration T Technology > TJ Mechanical engineering and machinery > TJ810.5 Solar energy T Technology > TJ Mechanical engineering and machinery > TJ828 Wind turbines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5956 Quality of service. Reliability Including network performance
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Hazim Ahmad Luthfi
Date Deposited:	11 Feb 2025 17:07
Last Modified:	11 Feb 2025 17:07
URI:	http://repository.its.ac.id/id/eprint/118656

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