RANCANG BANGUN LAMPU PINTAR BERBASIS TENAGA SURYA DAN IOT STUDI KASUS: Jalan Raya Bomang Kabupaten Bogor

    Iqbal Naufal Ramadhan, - and Endah Setyowati, - and Hafiyyan Putra Pratama, - (2025) RANCANG BANGUN LAMPU PINTAR BERBASIS TENAGA SURYA DAN IOT STUDI KASUS: Jalan Raya Bomang Kabupaten Bogor. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Penerangan jalan umum (PJU) berperan penting dalam meningkatkan keamanan dan keselamatan pengguna jalan, terutama pada malam hari. Jalan Bomang merupakan jalur vital yang mengalami kekurangan pencahayaan dan rawan kecelakaan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem lampu pintar berbasis tenaga surya dan Internet of Things (IoT) dengan fitur pemantauan daya, sebagai solusi penerangan otomatis dan efisien. Sistem dirancang menggunakan mikrokontroler ESP32, sensor LDR untuk mendeteksi intensitas cahaya, dan sensor INA219 untuk memantau tegangan dan arus. Data dari sensor dikirimkan melalui koneksi Wi-Fi ke platform Telegram untuk pemantauan jarak jauh. Pengujian dilakukan dengan metode black box sebanyak 30 kali pada setiap fitur. Hasil menunjukkan bahwa sensor LDR mampu mendeteksi kondisi terang dan gelap dengan akurasi 100%, sementara sensor INA219 menunjukkan akurasi 86,41% dalam pembacaan tegangan. Integrasi Telegram Bot menunjukkan tingkat keberhasilan 100% dalam mengirimkan data sistem. Sistem berhasil menyala otomatis saat gelap dan padam saat terang, serta melakukan pemantauan jarak jauh. Penelitian ini menunjukkan bahwa penerapan IoT dan energi terbarukan dapat menjadi solusi berkelanjutan dalam penyediaan penerangan jalan di wilayah minim infrastruktur listrik. ----- Public street lighting (PJU) plays a crucial role in improving the safety and security of road users, especially at night. The Bomang road is a vital transportation route that suffers from inadequate lighting and is prone to accidents. This study aims to design and implement a smart lighting system powered by solar energy and integrated with the Internet of Things (IoT), featuring a power monitoring function as an efficient and autonomous lighting solution. The system is developed using an ESP32 microcontroller, an LDR sensor to detect light intensity, and an INA219 sensor to monitor voltage and current. Sensor data is transmitted via Wi-Fi to a Telegram platform for remote monitoring. The system was tested using the black box method, with 30 iterations for each feature. The LDR sensor achieved 100% accuracy in detecting light and dark conditions, while the INA219 sensor recorded an accuracy of 86,41% in voltage measurement. The Telegram Bot integration showed a 100% success rate in transmitting system data. The system successfully turns on automatically in low-light conditions and off in bright environments, while enabling reliable remote monitoring. This study demonstrates that the application of IoT and renewable energy provides a sustainable solution for street lighting in areas with limited electrical infrastructure.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en ID SINTA Dosen Pembimbing Endah Setyowati 6681149 Hafiyyan Putra Pratama 6681148
    Uncontrolled Keywords: Kata kunci: Lampu pintar, IoT, tenaga surya, ESP32, pemantauan daya, Telegram Bot Keywords: Smart lighting, IoT, solar energy, ESP32, power monitoring, Telegram Bot
    Subjects: T Technology > T Technology (General)
    Divisions: UPI Kampus Purwakarta > S1 Sistem Telekomunikasi
    Depositing User: Iqbal Naufal Ramadhan
    Date Deposited: 13 Aug 2025 02:39
    Last Modified: 13 Aug 2025 02:41
    URI: http://repository.upi.edu/id/eprint/134900

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