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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Esa Prakasa
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Computer Science & IT Engineering

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Pengujian Klasifikasi Pola Telapak Tangan dengan Menggunakan Rangkaian Matriks Sensor Cahaya Esa Prakasa; Herlan Herlan; Ade Ramdan
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Proses pengenalan atas seseorang dapat dilakukan dengan cara mengamati serta mengukur berbagaiciri fisik serta perilaku yang selalu melekat di dalam dirinya. Dengan dukungan kemajuan teknologi, metodeyang dikenal dengan nama biometrik ini telah berhasil meningkatkan kualitas baca serta akurasi pengenalanatas seorang individu. Beberapa hasil penelitian membuktikan bahwa telapak tangan bisa dipakai sebagaisumber data pada sistem biometrik. Paper ini menjelaskan bagaimana proses identifikasi telapak tanganseseorang, dengan menggunakan rangkaian sistem, yang terdiri atas matriks sensor cahaya LDR (LightDependant Resistor), modul akuisisi data berbasis mikrokontroler, serta aplikasi pengenalan pola pada PC.Variasi intensitas cahaya pada sensor LDR mampu direkam dan dikirim ke PC dalam bentuk digital. Hasilrekam tiap individu disimpan sebagai database pola telapak tangan. Algoritma klasifikasi yang diterapkanadalah algoritma fungsi jarak (distance function). Variasi intensitas mampu merepresentasikan ciri telapaktangan seseorang. Hal ini terbukti berdasarkan 2 kali pengujian, tingkat keakuratan sistem mencapai 80% dan100%. Namun demkian, masih perlu pengembangan lanjutan untuk mengatasi masalah kualitas sensor,pencahayaan eksternal, serta pembuatan landasan sensor yang lebih menjamin akurasi pengambilan data.Kata kunci: biometrik, pola telapak tangan, sensor cahaya, distance function
Integration of YOLOv5 Algorithm and OpenCV in Innovative Smart Parking Management Approach Hidayah, Akmal Hidayah; Sitti Zuhriyah; Billy Eden William Asrul; Yuyun, Yuyun; Esa Prakasa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 3 (2024): June 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i3.5728

Abstract

The problem of automatic parking lot identification and vehicle detection in open areas is becoming increasingly important due to the increase in the number of vehicles in Indonesia, particularly in big cities, resulting in difficulties in finding parking spaces during peak hours. In this condition, drivers often have to compete for parking spaces. This research aims to develop a smart parking system that integrates YOLOv5 and OpenCV algorithms. This approach thoroughly combines both algorithms to identify parking spaces and detect vehicles in real time in various parking scenarios. It is carried out in an open area with reference to parking conditions at the BRIN Bandung office. This study collected data from three different parking lot conditions, namely empty, partially occupied, and full. In each condition, the system successfully detected the parking lots and vehicles accurately. The novel contribution of this research is the development of a smart parking system that uses an integrated approach, providing an effective solution to the challenges of parking lot availability and vehicle detection. Using the advantages of both algorithms, we successfully created a system that can identify parking spaces and detect vehicles accurately and efficiently under various parking circumstances. Therefore, this research makes a significant contribution to the development of smart and adaptive parking management technology.
Co-Authors Ade Ramdan Herlan Herlan Hidayah, Akmal Hidayah Yuyun, Yuyun Zuhriyah, Sitti