Implementasi Sistem Parkir Mandiri Berbasis QR Code dan Computer Vision untuk Smart Campus

Authors

  • Ahmad Fajar Permadi Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/n0zv1h93

Abstract

Sistem parkir konvensional masih menghadapi berbagai kendala seperti antrean kendaraan, ketergantungan terhadap petugas parkir, serta risiko kesalahan pencatatan data. Penelitian ini bertujuan mengimplementasikan sistem parkir mandiri berbasis QR Code dan Computer Vision untuk mendukung konsep Smart Campus. Sistem dikembangkan menggunakan bahasa pemrograman C++, framework Qt, pustaka qrcodegen.hpp untuk pembangkitan QR Code, serta OpenCV QRCodeDetector untuk proses deteksi QR Code. Sistem mampu melakukan check-in kendaraan, pembuatan tiket parkir PDF, pemindaian QR Code saat check-out, perhitungan tarif parkir, serta pencetakan struk keluar secara otomatis. Hasil pengujian menunjukkan tingkat keberhasilan deteksi QR Code sebesar 100% pada 10 kali percobaan berturut-turut dengan jarak optimal kurang dari 30 cm menggunakan webcam standar. Waktu pembuatan tiket, pemindaian QR Code, dan pencetakan struk masing-masing berada pada kisaran kurang dari 2 detik. Hasil penelitian menunjukkan bahwa sistem mampu mendukung efisiensi operasional layanan parkir kampus secara mandiri dan berbiaya rendah.

Keywords:

Computer Vision, QR Code, Smart Campus, Sistem Parkir

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Published

2026-07-20

Issue

Vol. 10 No. 2 (2026): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2026

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How to Cite

Implementasi Sistem Parkir Mandiri Berbasis QR Code dan Computer Vision untuk Smart Campus. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(2), 1104-1113. https://doi.org/10.29407/n0zv1h93