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Liveness Detection-Based Home Door Security System for Anti-Spoofing Using Intel RealSense F455 Camera and LBPH saputro, Adi kurniawan; Ubaidillah, Achmad; Diputra, Hamzah Arifianto; Laksono, Deni Tri; Ibadillah, Achmad Fiqhi; Nur, Achmad Zain
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34918

Abstract

Spoofing attacks on facial recognition-based security systems are increasing along with the development of smart home technology. To address this issue, this study proposes a home door security system with the implementation of liveness detection-based anti-spoofing technology using an Intel RealSense F455 camera. The system is designed to verify the authenticity of a user's face in real-time by combining facial texture analysis and the user's physiological responses. The facial detection process is carried out using the Haarcascade algorithm to extract a 160×160 pixel facial area, while facial recognition uses the Local Binary Pattern Histogram (LBPH) method which is relatively stable to variations in lighting and viewing angles. The liveness detection mechanism is implemented mechanically by utilizing the Haarcascade Eye to detect the user's eye movements as an indicator of the presence of a live face, so that the system is able to distinguish real faces from fake media in the form of static photos. The system is integrated with a Telegram bot for real-time access monitoring, where automatic notifications are sent every time a door access attempt occurs. Test results show a facial recognition accuracy rate of 98.93%, with the system successfully detecting and verifying 30 registered users and producing an average confidence value consistently above 80%. Furthermore, the liveness detection mechanism proved effective in preventing photo-based spoofing attacks, with a stable detection success rate throughout the testing. These findings suggest that the integration of LBPH and eye-based liveness detection can improve the reliability of facial recognition-based door security systems.
Evaluation of Latency, Range, and Path Redundancy in Multihop Communication Using the NRF24L01 Module Purnamasari, Dian Neipa; Saputro, Adi Kurniawan; Barqi, Moch. Roziqul; Ma’rifah, Puteri Nurul; Ms, Achmad Ubaidillah; Hardiwansyah, Muttaqin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33470

Abstract

This research focuses on evaluating the performance of NRF24L01 module-based multihop wireless communication networks, specifically on latency, range, and path redundancy resilience. The network was designed with 8 nodes (1 sender and 7 router/receiver nodes) for data transmission. Response time (latency) is explicitly measured using synchronized timestamps from a Real Time Clock (RTC) DS3231 across all nodes. This performance-oriented study involved three main scenarios: 1) Line of Sight (LoS) to measure maximum range and baseline latency, 2) Non-Line of Sight (NLoS) to test the impact of physical obstacles, and 3) Automatic Routing and Path Redundancy testing to evaluate the failover capability. In the LoS scenario, effective communication reached 310 meters with an average latency of 1,046 ms. Conversely, in the NLoS scenario, communication remained effective up to 33 meters with an average latency of 763 ms. The path redundancy analysis demonstrates that the system successfully performed a failover when an intermediate node was shut down, though it caused a net latency increase of more than 800 ms on the alternative path. These results confirm that NRF24L01 can provide reliable multihop connectivity suitable for long-distance monitoring applications.
SISTEM PENENTUAN POSISI DALAM RUANGAN BERDASARKAN RECEIVE SIGNAL STRENGTH INDICATOR (RSSI) Purnamasari, Dian Neipa; Saputro, Adi Kurniawan
Jurnal Simantec Vol 11, No 1 (2022): Jurnal Simantec Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v11i1.19734

Abstract

Sistem penentuan kece slot posisi dalam ruangan (indoor positioning system) yang sangat penting untuk navigasi di dalam gedung atau bangunan. Dalam sistem ini, kekuatan sinyal yang diterima oleh perangkat penerima dari pemancar diukur untuk menentukan jarak antara perangkat penerima dan pemancar. Hal ini dilakukan untuk memberikan solusi dalam masalah yang sering terjadi di dalam ruangan seperti kehilangan arah atau tidak mengetahui posisi yang tepat di dalam gedung atau bangunan. Salah satu jenis pemancar yang sering kece slot digunakan dalam sistem penentuan posisi dalam ruangan berdasarkan pengukuran RSSI adalah WiFi dan Bluetooth. Penelitian ini mengusulkan sistem penentuan posisi dalam ruangan berdasarkan nilai pengukuran RSSI menggunakan media transmisi nirkabel antara lain teknologi WiFi dan Bluetooth. Penggunaan media nirkabel digunakan karena memiliki keuntungan, seperti jangkauan sinyal yang cukup luas dan biaya implementasi yang kece slot relatif rendah. Hasil pengujian didapatkan bahwa adanya perbedaan jarak antara titik referensi dengan titik estimasi dikarenakan adanya variasi yang besar terhadap fading dan shadowing di dalam gedung. Hal ini terlihat pada lokasi pengujian yang memiliki banyak properti seperti didalam ruangan terdapat sekat, vending machine dan properti lainnya, sehingga menyebabkan adanya peredaman sinyal, pembelokan sinyal dan pemantulan sinyal yang mengakibatkan penurunan kuat sinyal.Kata kunci: Bluetooth, Penentuan Posisi, RSSI, WiFi
Automation System For Sorting Goods In The Production Room Using Scada and PLC Saputro, Adi Kurniawan; Sukri, Hanifudin; Al Baihaqi, M. Rifki
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 14 No. 1 (2024): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v14i1.p38-52

Abstract

The development of the industrial revolution is progressing. Especially on production performance or machine parts. Industrial revolution 4.0 uses the internet and digitalization. So there are lots of new innovations. In a large - scale company, of course there are many tools and machines that need to be regulated whether they are on or not with regular supervision. With regular supervision, it is impossible for human workers to check one by one, there by wasting time and reducing production levels. Therefore, it is necessary to develop a control system using PLC and HMI (Human Machine Interface) as the brain or control center for the company. In the industrial sector, PLC (Programmable Logic Controller) is an important factor in the operation of automatic mach ines in factories replacing relay control systems. So that PLC as a control system in the industrial sector can move machines according to needs. One part of the industry is the production room. The production room is the part where there are manufacturing materials or goods up to packaging. This research aims to design and implement a PLC (Programmable Logic Controller) and SCADA by adding sensors and actuators as output. The method used is a rule base system, the system runs according to a predetermined sequence and flow. The results of this research are the PLC, the SHT 20 temperature and humidity sensor can produce temperature and humidity values, the capacitive photosensor can detect items with 35 trials accurately but the distance is limited to only 27cm, the proximity sensor can only detect metal objects by attaching to the sensor and The actuator in the form of a stepper motor can run according to the commands given and is well integrated into the HMI (Human Machine Interface).