Perancangan Dan Pengembangan Prototipe Sistem Parkir Cerdas Menggunakan Teknologi Ocr Dan Deep Learning Berbasis Website

Khairunnisa, Putri Adelia (2025) Perancangan Dan Pengembangan Prototipe Sistem Parkir Cerdas Menggunakan Teknologi Ocr Dan Deep Learning Berbasis Website. Undergraduate thesis, Politeknik Negeri Jember.

[img] Text (Abstract)
Abstract.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (189kB)
[img] Text (Bab 1 Pendahuluan)
BAB 1 (Pendahuluan).pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (194kB)
[img] Text (Daftar Pustaka)
DAFTAR PUSTAKA.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (137kB)
[img] Text (Laporan Lengkap)
Laporan Lengkap.pdf
Restricted to Registered users only

Download (6MB) | Request a copy

Abstract

Smart parking system is a system developed to provide solutions to several problems that arise regarding parking problems such as parking security, messy layout, and confusion in finding an empty place. This research aims to design and develop a smart parking system that can detect license plates automatically using deep learning and OCR methods. This system is also integrated with an automatic gate mechanism when the vehicle enters after the license plate is detected using a website-based ESP32. In this study, the data set used was 3000 images of black, red, and white license plates with images of license plates of various conditions and shapes. The accuracy produced by the license plate detection system with 55 samples in the morning and at night in the automatic parking system using matrix evaluation reached an average of 96%, precision 96% recall 100% and f1-score value 98%. besides that black box functional testing with 9 sample scenarios was achieved with a success rate of 100%. This model is expected to be used as a tool in the facilities and infrastructure industry to facilitate the performance of parking officers and parking users to be more efficient

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorAlbaab, Mochammad Rifki UlilNIDN0023049404
Uncontrolled Keywords: Deteksi Plat Nomor, Parkir Pintar, Deep Learning, OCR, Matriks Confusion
Subjects: 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 457 - Teknik Komputer
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 461 - Sistem Informasi
410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak
710 - Rumpun Ilmu Pendidikan > 780 - Ilmu Pendidikan Teknologi dan Kejuruan > 786 - Pendidikan Teknik Informatika
Divisions: Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika (Sidoarjo) > Tugas Akhir
Depositing User: Putri Adelia Khairunnisa
Date Deposited: 23 Jul 2025 01:56
Last Modified: 23 Jul 2025 01:56
URI: https://sipora.polije.ac.id/id/eprint/44063

Actions (login required)

View Item View Item