Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Indonesia Sosial Teknologi eProceedings of Engineering
Azis, Kurniawan
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Implementasi Face Recognition Pada Smart Sistem Kamera Pada Gerbang Masuk Azis, Kurniawan; Sumaryo, Sony; Zamhuri , Azam
eProceedings of Engineering Vol. 11 No. 5 (2024): Oktober 2024
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak — Smart System Camera (Kamera Cerdas)untuk mendeteksi waktu masuk dan keluar dengan akurasitinggi. Sistem ini terintegrasi dengan kamera CCTV yangdapat menampilkan waktu keluar masuk kendaraan secarareal-time. Fitur-fitur seperti deteksi kendaraan,perhitungan jumlah kendaraan, deteksi plat nomorkendaraan, dan face recognition memungkinkan penggunamengidentifikasi potensi ancaman dan berkomunikasidengan orang lain cepat dan akurat. Sistem ini juga dapatdihubungkan dengan sistem keamanan lain seperti alarmuntuk meningkatkan keamanan di area parkir. Face recognition sudah banyak pengimplementasiannya untukabsensi kehadiran pegawai, atau sistem keamanan pada tempat – tempat vital yang ada di wilayah tertentu, tetapimasih sedikit yang menggunakan face recognition untuk gerbang masuk suatu perumahan atau perkantoran. Padapengimplementasi face recognition pada smart sistem camera pada gerbang masuk wajah pengguna akanterdeteksi pada kamera CCTV yang ada di gerbang masuk. Sebelumnya pengguna harus memasukan data wajahpengguna agar disaat melewati gerbang masuk atau keluar wajah pengguna terdeteksi oleh kamera CCTV, apabila pengguna tidak memasukkan data wajah ke dalam sistem maka pengguna tidak bisa menggunakan lahan parkir yang ada atau tidak bisa masuk ke dalam lingkunganperumahan. Pada sistem face recognition akan menampilkan nama, alamat tempat tinggal apabila di areaperumahan, dan menampilkan jabatan atau pegawai apabila di area perkantoran Kata kunci: Smart System Camera, Keamanan, Efisiensi, Tempat Parkir, Kamera CCTV, Mendeteksikendaraan, Menghitung Jumlah Kendaraan, Mendeteksi Plat Nomor
Application of OCR Technology for Vehicle License Plate Detection and Yolo V8 for Car Counting Muhammad Ridwan, Rizki; Musyaffa, Muhammad Aththar; Azis, Kurniawan; Sumaryo, Sony; Zamhuri, Azam
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 9 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i9.1378

Abstract

The development of urban mobility and the growth in the number of motorized vehicles have created significant security challenges in managing parking areas. In this context, the use of Automatic License Plate Recognition (ALPR) technology and object detection emerges as a potential solution. Through the implementation of a smart camera system equipped with number plate detection and object detection, this research aims to reduce the risk of human error in recording parking data and prevent illegal parking. In answering this problem, this research offers a solution in the form of developing a smart camera system that is able to detect the presence of vehicles and recognize number plates with a high level of accuracy. Through the integration of ALPR and object detection, this system is expected to be able to overcome obstacles that arise in parking management, increase efficiency, and effectively prevent illegal parking. The implementation of automatic barriers, access cards and integrated CCTV monitoring will further strengthen the security of the parking area. With the research results, the proposed smart camera system succeeded in achieving vehicle and license plate detection accuracy levels above 90%. The quantitative and qualitative data collected supports the effectiveness of this solution in improving parking management and parking area security. In conclusion, this research makes a positive contribution in facing security challenges in cities through the use of advanced technology, opening up the potential for widespread application in the context of continuously developing urban mobility.
Co-Authors Muhammad Ridwan, Rizki Musyaffa, Muhammad Aththar Sony Sumaryo Zamhuri , Azam Zamhuri, Azam