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Journal : Serambi Engineering

Implementasi Sistem Gerbang Otomatis dengan Perpaduan Teknologi Pengenalan Pelat Nomor Kendaraan dan Pengenalan Wajah Ihsan Ahmad Kamal; Fransiskus Abel Pramuadi Putra; Firas Maulana Lasidi; Wahmisari Priharti; Willy Anugrah Cahyadi
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

Automated access control systems have been widely used in recent years due to their high accuracy and security. In this study, we present an intelligent and secure electronic gate based on facial recognition and vehicle number plate recognition. The system combines multimodal biometric technology with face recognition using the 'face_recognition' package and automatic licence plate recognition (ALPR) using YOLOv8 and PaddleOCR to enhance the security of access to restricted areas. The system was able to correctly recognise 29 out of 30 faces, while all licence plates were accurately recognised, even at different times. The results show that the automated gate system has been successfully developed and tested with an accuracy rate of 96.67%. This success demonstrates the potential use of multimodal biometric technology to improve the security and efficiency of access control systems in various applications, such as office environments, residential areas and other public facilities. Further research can be directed towards improving the resilience of the system to different environmental conditions and expanding the database of recognised faces and vehicle number plates.
Advanced Infant Scale: Function Enhancement by Integrating a Monitoring Application for Growth and Development Assessment Prameswari Diahasna Tsany -; Husneni Mukhtar; Willy Anugrah Cahyadi
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

StuVent is an application designed to provide information on the health status of infants aged 0-24 months and to detect early stunting. This application displays the classification results of the infant's health status, differentiated by colour, making it easier for users to understand the infant's health status. StuVent is aimed at Posyandu's staff and the general public to help them detect early stunting. The main advantage of this application is its ability to work offline using Bluetooth Low Energy (BLE) connectivity. Users can connect their smartphones to the scales via Bluetooth, allowing the application to be used without an internet connection. This feature is particularly beneficial for users in 3T areas (frontier, outermost and remote regions) where internet access is often limited. StuVent is therefore expected to be an effective tool for monitoring child growth and preventing stunting in various regions.