@phdthesis{eprintuntirta58116,
            year = {2026},
            note = {The rapid development of digital technology has driven the need for
automated systems that can enhance security, convenience, and efficiency,
particularly in managing parking areas within university environments. Sultan
Ageng Tirtayasa University (Untirta) still implements a manual parking system that
requires human labor to verify vehicle documents (STNK) directly. This system is
considered less effective because it is prone to negligence, takes a long time during
vehicle entry and exit, and contains security gaps that allow criminal acts such as
motorcycle theft. Based on these issues, this study aims to design and implement an
automatic gate system based on a Quick Response Code (QR Code) integrated with
vehicle license plate detection using an Optical Character Recognition (OCR)
camera and an ESP32 microcontroller as the main control unit.
The research method used in this project is the waterfall system
development model, which consists of several stages including requirements
analysis, system design, implementation, testing, and evaluation. The hardware
used in this system includes a NodeMCU ESP32 as the main microcontroller, a
Logitech external camera for license plate detection, a servo motor as the gate
actuator, and a QR Code scanner module as a vehicle identification tool. The
software components include Arduino IDE for microcontroller programming,
Visual Studio Code for web system development, and XAMPP as a local server for
database management. The system workflow begins with vehicle users registering
through a web server to obtain a unique QR Code that contains their identity,
student ID number, study program, and license plate number. This QR Code is then
scanned to verify user identity upon entering or exiting the campus parking area.
After scanning, the ESP32 microcontroller processes the data and triggers the OCR
camera to detect the vehicle?s license plate. When the license plate data matches
the database records, the gate opens automatically, and all access activities are
recorded in real time in the system database.
The testing results show that the designed automatic gate system based on
QR Code works effectively and meets expectations. From 54 testing trials
conducted on campus, the system achieved an average success rate of 70\% overall.
The QR Code scanning accuracy reached 98\% with an average response time of
1.2 seconds, while the OCR-based license plate detection achieved an accuracy
rate of 90?93\% under optimal lighting conditions. System failures generally
occurred due to camera misalignment, excessive light reflection, or unstable
internet connections during data transmission to the database. Overall, the system
is considered effective in enhancing parking security and operational efficiency
within the campus environment. It also serves as an innovative solution supporting
the smart campus concept through digital automation. Future development of this
system could include integrating deep learning-based OCR and cloud server
connectivity to improve accuracy and data processing speed on a larger scale.},
           month = {February},
           title = {Perancangan Palang Pintu Otomatis Berbasis Quick Response Code di Kampus Universitas Sultan Ageng Tirtayasa},
          school = {UNIVERSITAS SULTAN AGENG TIRTAYASA},
          author = {Henriana Henriana},
        abstract = {Henriana: Perancangan Palang Pintu Otomatis Berbasis Quick Response Code di Kampus Universitas Sultan Ageng Tirtayasa. Skripsi. Banten: Fakultas Keguruan dan Ilmu Pendidikan Perkembangan teknologi digital yang semakin pesat mendorong kebutuhan akan sistem otomatis yang dapat meningkatkan keamanan, kenyamanan, dan efisiensi, khususnya dalam pengelolaan parkir di lingkungan kampus. Kampus Universitas Sultan Ageng Tirtayasa (Untirta) masih menggunakan sistem parkir manual yang memerlukan tenaga manusia untuk melakukan pengecekan surat kendaraan (STNK) secara langsung. Sistem tersebut dinilai kurang efektif karena rawan kelalaian dan membutuhkan waktu yang lama dalam proses keluar-masuk kendaraan, serta memiliki celah keamanan yang memungkinkan terjadinya tindak kriminal seperti pencurian kendaraan bermotor (curanmor). Berdasarkan permasalahan tersebut, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem palang pintu otomatis berbasis Quick Response Code (QR Code) yang terintegrasi dengan deteksi plat nomor kendaraan menggunakan kamera OCR (Optical Character Recognition) serta mikrokontroler ESP32 sebagai unit kendali utama. Metode penelitian yang digunakan dalam perancangan sistem ini adalah metode pengembangan sistem waterfall, yang meliputi tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan evaluasi. Perangkat keras (hardware) yang digunakan meliputi NodeMCU ESP32 sebagai mikrokontroler utama, kamera eksternal Logitech sebagai sensor pendeteksi plat kendaraan, motor servo sebagai penggerak palang pintu, serta modul scanner QR Code sebagai alat identifikasi pengguna kendaraan. Sedangkan perangkat lunak (software) yang digunakan meliputi Arduino IDE untuk pemrograman mikrokontroler, Visual Studio Code untuk pengembangan sistem web, dan XAMPP sebagai server lokal untuk mengelola database. Proses kerja sistem diawali dari pengguna kendaraan yang melakukan pendaftaran akun melalui web server untuk mendapatkan QR Code unik yang berisi data identitas, NIM, jurusan, serta nomor plat kendaraan. QR Code tersebut digunakan untuk memverifikasi identitas pengguna pada saat keluar atau masuk area parkir kampus. Hasil pengujian terhadap sistem menunjukkan bahwa rancangan palang pintu otomatis berbasis QR Code ini mampu bekerja dengan baik dan sesuai dengan yang diharapkan. Berdasarkan 54 kali pengujian yang dilakukan di lingkungan kampus, tingkat keberhasilan sistem mencapai rata-rata 70\% secara keseluruhan. Tingkat keberhasilan pembacaan QR Code mencapai 98\%, dengan waktu respon rata-rata 1,2 detik, sedangkan hasil pembacaan deteksi plat nomor menggunakan kamera OCR mencapai akurasi rata-rata 90?93\% pada kondisi pencahayaan yang optimal. Kegagalan sistem umumnya terjadi akibat posisi kamera yang kurang sejajar dengan plat kendaraan, pantulan cahaya yang berlebih, serta koneksi internet yang tidak stabil pada saat proses pengiriman data ke database Palang Pintu Otomatis, QR Code, ESP32, OCR, Sistem Parkir.},
             url = {https://eprints.untirta.ac.id/58116/},
        keywords = {Palang Pintu Otomatis, QR Code, ESP32, OCR, Sistem Parkir.
Automatic Door Crossbar, QR Code, ESP32, OCR, Parking System.}
}