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Journal : Telcomatics

Perancangan dan Pengembangan Sistem Smart Parking Berbasis ESP32 dan Aplikasi Mobile Android Studio Erick; Yuvier, Maxi; Fernando, Nelson; Marcelleno, Ng; Yulianto, Andik
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.10867

Abstract

The rapid growth in the number of vehicles has intensified challenges in parking management, leading to traffic congestion and wasted time for drivers searching for available spots. Conventional parking systems, which often rely on manual processes, are inefficient and contribute to these problems. This research addresses these issues by designing and developing an Internet of Things (IoT) based smart parking system to provide real-time monitoring of parking availability. The system utilizes an ESP32 microcontroller, chosen for its integrated Wi-Fi and processing capabilities, as the core processing unit. For vehicle and user management, an RFID-RC522 sensor is used for vehicle entry authentication , while an HC-SR04 ultrasonic sensor detects vehicles at the exit. The backend architecture employs a multi-layered approach, using MQTT as the communication protocol with HiveMQ as the broker. System logic and data flows are managed using Node-RED, which communicates with a Flask server to interact with the database. The user interface is a mobile application developed using Android Studio. This application requires user authentication via a login page and provides a real-time dashboard that visually displays the status of parking slots—green for available and red for occupied. The successful implementation of this prototype demonstrates a functional end-to-end solution that effectively integrates hardware and software to create a more efficient and user-friendly parking management system.
Random Forest Classifier Approach for Accurate Malicious URL Identification Haeruddin, Haeruddin; Elvert; Yulianto, Andik; Sabariman, Sabariman
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.11173

Abstract

Internet users currently face significant risks from malicious URLs that facilitate phishing attacks, malware distribution, and data theft. Traditional blacklisting methods have become ineffective against evolving cyberattack techniques. This study proposes a Random Forest classification approach for more accurate malicious URL detection, focusing on critical URL features including URL length, presence of special keywords, subdomain structure, and special character usage. these features train the Random Forest model to distinguish between safe and malicious URLs. We evaluate model effectiveness using accuracy, precision, and recall metrics. This research aims to develop a Random Forest-based malicious URL detection system that is more accurate and adaptive than conventional methods. The study examines both the advantages and limitations of this approach, along with its potential as a reliable detection solution for dynamic digital environments. Evaluation results demonstrate an overall accuracy of 94%, weighted average F1-score of 0.94, and macro average F1-score of 0.94.
Co-Authors A.A. Ketut Agung Cahyawan W Abay, Margita Rahayu Adelia Anju Asmara Adelia Anju Asmara Agung Nugroho Adi, Agung Nugroho Aji Wilaksono, Aji Aldri Frinaldi Amilia Amilia Anaztasya, Azra Putri Andi Andi Andreas, Willy Anisah Hasna Jauharoh Anthony Any Juliani, Any Aripradono, Heru Wijayanto Arlina, Dilla Awaluddin Nurmiyanto, Awaluddin Billy Ardi, Billy Chandra Wijaya, Kevin Christian, Yefta Danang Wahyu Widodo Darojat, Irfa Davis Willyam, Davis Deli, Deli Delvira Jayatri Prasasti, Delvira Jayatri Dewi Wulandari Dhandhun Wacano Dilla Arlina Dion, Sandy Alferro Elvert Elvis, Elvis Erick Fernando, Nelson Hadi Hadi Haeruddin Haeruddin Herlica, Inne Herman Herto Dwi Arisyady, Herto Hervian Lanang Priyambodo, Hervian Lanang Hu dori, Hu Hudori Hudori Ikhlas, Junior Indah Purwaningsih Irawan, Ferdy Jason Jeffrey ., Jeffrey Jesson, Jesson Kevin kevin Khomali, Carlos Justin Lau, Eric Lau, Wilsen Lee, Lesley Peterson Leonardo, Kevin Lie, Melvin Lie, Steven Lim, Louis Lim, Stephani Lius, Kevin Marbun, Ricky Yohannes Marcelleno, Ng Mardya Ning Tyas Margita Rahayu Abay Marisa Handayani Maulana, Azhar Melvin, Melvin Meriana, Angelina Mistoro, Niesa Hanum Mungkap Mangapul Siahaan Muriyah, Nimatul Ma Nimatul Mamuriyah Paerin, Paerin Pelawi, Jan Putra Bahtra Agung S Pratama, Adi Nuzul Pravitasari, Vidya Ayu Prayatni Soewondo Prihat maji, Prihat Putro, Muhammad Kholif Lir Widyo Rahman, M Abdur Rahmawati, Suphia Rinaldo, Rinaldo Sabariman Sabariman Sabariman Sabariman Sak, Erwin Sama, Hendi Saputra, M. Abdilah Selina, Selina Setijawan, Wawan sherly sherly Sim, Joel Hamim Simanjuntak, Fredian Simanjuntak, Noe Prihartoyo Sopiyan, Sopiyan Stelyven, Stelyven Stephen Suphia Rahmawati Taai, Derwin Tham, Vincent Tiffano Miracle Gaghana, Dave Tjua, Selina Trianes, Agustian Utomo, Kevin Saputra Wacano, Dhandhun Wantoputri, Noviani Ima Wenky, Wenky Wilson Wilson Yeo, Stefan Yulianto P., Yulianto Yuvier, Maxi